Mobile website
Volume 49,Issue 7,2022 Table of Contents
2022, 49(7):1-6,13.
DOI: 10.12177/emca.2022.056
Abstract:
Torque pulsation is a main factor that hinders the development of switched reluctance motors (SRMs). Adopting the appropriate control strategy and structural improvement can suppress torque pulsation, but this method usually needs to be verified quickly by simulation in the process of research. A method of fieldcircuit coupling multi physical domain joint simulation of Simulink, Maxwell and Simplorer is proposed, and a direct torque control (DTC) system for a novel stator/rotor slotted SRM is established. The response performance under different operation conditions such as starting, acceleration, deceleration, load increase and load reduction is simulated and analyzed, and the suppression effect of torque ripple is verified. Maxwell is used to establish the finite element model of novel stator/rotor slotted SRM, which can avoid complex mathematical model derivation, and can reflect the electromagnetic characteristics inside the motor in real time during the process of joint simulation. This simulation modeling and analyzing method is convenient to provide an important basis for the optimum design of SRM and its control strategies.
Torque pulsation is a main factor that hinders the development of switched reluctance motors (SRMs). Adopting the appropriate control strategy and structural improvement can suppress torque pulsation, but this method usually needs to be verified quickly by simulation in the process of research. A method of fieldcircuit coupling multi physical domain joint simulation of Simulink, Maxwell and Simplorer is proposed, and a direct torque control (DTC) system for a novel stator/rotor slotted SRM is established. The response performance under different operation conditions such as starting, acceleration, deceleration, load increase and load reduction is simulated and analyzed, and the suppression effect of torque ripple is verified. Maxwell is used to establish the finite element model of novel stator/rotor slotted SRM, which can avoid complex mathematical model derivation, and can reflect the electromagnetic characteristics inside the motor in real time during the process of joint simulation. This simulation modeling and analyzing method is convenient to provide an important basis for the optimum design of SRM and its control strategies.
2022, 49(7):7-13.
DOI: 10.12177/emca.2022.040
Abstract:
In order to realize the position sensorless control of permanent magnet synchronous motor （PMSM） with wide speed range, a wide speed position sensorless control strategy based on the improved sliding mode method is proposed. In the medium and highspeed stage of the motor, a new sliding mode reaching law is designed to suppress the inherent chattering problem of the traditional sliding mode observer. Thus, the estimation accuracy of the motor speed is improved. In the zero and low speed stage of the motor, the pulsating high frequency injection method is used to estimate the speed of motor. In addition, a smooth switching control strategy is designed to achieve smooth switching between different algorithms. The comparison of simulation results verifies that the designed controller has good speed estimation and tracking performance, and the smooth switching of different control algorithms can be achieved.
In order to realize the position sensorless control of permanent magnet synchronous motor （PMSM） with wide speed range, a wide speed position sensorless control strategy based on the improved sliding mode method is proposed. In the medium and highspeed stage of the motor, a new sliding mode reaching law is designed to suppress the inherent chattering problem of the traditional sliding mode observer. Thus, the estimation accuracy of the motor speed is improved. In the zero and low speed stage of the motor, the pulsating high frequency injection method is used to estimate the speed of motor. In addition, a smooth switching control strategy is designed to achieve smooth switching between different algorithms. The comparison of simulation results verifies that the designed controller has good speed estimation and tracking performance, and the smooth switching of different control algorithms can be achieved.
2022, 49(7):14-21.
DOI: 10.12177/emca.2022.044
Abstract:
In the multiaxis synchronous system, the main objective of synchronous control is to reduce the synchronous error and tracking error. Firstly, to solve the problem of traditional relative coupling control in practice, an improved relative coupling control structure is proposed. The virtual master axis is added in the structure. While referring to the feedback speed of each axis, the virtual master axis synchronously completes the given compensation of the speed of each axis. The synchronous control performance is optimized and the speed compensation structure is simplified. Secondly, combined with the fuzzy compensation, the adaptive correction of control parameters is realized. Finally, the experiment of the mechanism is carried out. The results show that, compared with traditional relative coupling control structure, the proposed control method can simplify system structure and improve synchronous performance, and the tracking error can be reduced obviously in the load disturbance circumstance. The proposed method provide a reference value in the synchronous system.
In the multiaxis synchronous system, the main objective of synchronous control is to reduce the synchronous error and tracking error. Firstly, to solve the problem of traditional relative coupling control in practice, an improved relative coupling control structure is proposed. The virtual master axis is added in the structure. While referring to the feedback speed of each axis, the virtual master axis synchronously completes the given compensation of the speed of each axis. The synchronous control performance is optimized and the speed compensation structure is simplified. Secondly, combined with the fuzzy compensation, the adaptive correction of control parameters is realized. Finally, the experiment of the mechanism is carried out. The results show that, compared with traditional relative coupling control structure, the proposed control method can simplify system structure and improve synchronous performance, and the tracking error can be reduced obviously in the load disturbance circumstance. The proposed method provide a reference value in the synchronous system.
2022, 49(7):22-29.
DOI: 10.12177/emca.2022.060
Abstract:
The traditional active disturbance rejection control (ADRC) controller in a double closedloop servo system have many parameters and very complicated adjusting processes. In order to solve these problems, an ADRC controller based on a radial basis function neural network is designed. Since the law of the combined control contains the characteristic of independence, a linear state error feedback is designed to further reduce the complexity of parameter setting. The gains of nonlinear errors in an extended stage observer are applied to the radial basis function neural network as weight coefficients, and the online identification for the controlled object’s Jacobian information could be carried out. So, the parameter online selftuning of the ADRC controller could be realized through the selflearning ability of the neural network. Taking a permanent magnet synchronous motor (PMSM) as the controlled object, the experiment is carried out in MATLAB simulation. The results show that this control strategy can effectively optimize the static performance and dynamic quality of the servo system, and the better dynamic and higher precision of the system is reached.
The traditional active disturbance rejection control (ADRC) controller in a double closedloop servo system have many parameters and very complicated adjusting processes. In order to solve these problems, an ADRC controller based on a radial basis function neural network is designed. Since the law of the combined control contains the characteristic of independence, a linear state error feedback is designed to further reduce the complexity of parameter setting. The gains of nonlinear errors in an extended stage observer are applied to the radial basis function neural network as weight coefficients, and the online identification for the controlled object’s Jacobian information could be carried out. So, the parameter online selftuning of the ADRC controller could be realized through the selflearning ability of the neural network. Taking a permanent magnet synchronous motor (PMSM) as the controlled object, the experiment is carried out in MATLAB simulation. The results show that this control strategy can effectively optimize the static performance and dynamic quality of the servo system, and the better dynamic and higher precision of the system is reached.
2022, 49(7):30-37.
DOI: 10.12177/emca.2022.051
Abstract:
With the motor speed changes, the resonant frequency of the repetitive control (RC) deviates from the frequency of the current harmonic, and the harmonic suppression ability of the system is reduced. Aiming at this problem, combing the mathematical model of permanent magnet synchronous motor (PMSM) current harmonic and the causes of harmonic, the repetitive control principle is introduced, and on the basis of the conventional repetitive control, a Fal function is introduced, a compound control strategy based on Fal function is built. Through these measures, traditional repetitive control in the process of steady state has a better effect. At the same time, the internal mode of the traditional repetitive control is improved and embedded into the current loop to further improve the harmonic suppression ability of the composite controller. Finally, a 5.5 kW PMSM is taken as the research object for simulation analysis and experimental verification. The simulation and experimental results show the effectiveness of the proposed method.
With the motor speed changes, the resonant frequency of the repetitive control (RC) deviates from the frequency of the current harmonic, and the harmonic suppression ability of the system is reduced. Aiming at this problem, combing the mathematical model of permanent magnet synchronous motor (PMSM) current harmonic and the causes of harmonic, the repetitive control principle is introduced, and on the basis of the conventional repetitive control, a Fal function is introduced, a compound control strategy based on Fal function is built. Through these measures, traditional repetitive control in the process of steady state has a better effect. At the same time, the internal mode of the traditional repetitive control is improved and embedded into the current loop to further improve the harmonic suppression ability of the composite controller. Finally, a 5.5 kW PMSM is taken as the research object for simulation analysis and experimental verification. The simulation and experimental results show the effectiveness of the proposed method.
2022, 49(7):38-44.
DOI: 10.12177/emca.2022.033
Abstract:
Accurate tracking of train speed curve is the key to stability, accuracy and safety of automatic freight train operation system. The large time delay of freight train speed tracking system leads to the decrease of control accuracy and the increase of energy consumption. To solve this problem, the response time and command transmission delay characteristics of traction braking system are studied, the lag model of train speed tracking control is constructed. The difference operator is used to deal with the lag term in the train dynamic model, the optimal predictive speed tracking controller is constructed. The simulation and comparison experiments show that the freight train speed tracking controller based on optimal predictive control has the characteristics of fast response, small speed error and high safety.
Accurate tracking of train speed curve is the key to stability, accuracy and safety of automatic freight train operation system. The large time delay of freight train speed tracking system leads to the decrease of control accuracy and the increase of energy consumption. To solve this problem, the response time and command transmission delay characteristics of traction braking system are studied, the lag model of train speed tracking control is constructed. The difference operator is used to deal with the lag term in the train dynamic model, the optimal predictive speed tracking controller is constructed. The simulation and comparison experiments show that the freight train speed tracking controller based on optimal predictive control has the characteristics of fast response, small speed error and high safety.
2022, 49(7):45-52.
DOI: 10.12177/emca.2022.055
Abstract:
The optimization of the number of winding turns plays an important role in improving the performance of the motor. A semianalytical method combining analysis and simulation is used to propose a method for optimizing the number of winding turns of the two sets of windings of the brushless doublyfed motor (BDFM). The electromagnetic power and thermal load formulas of the BDFM are analytically deduced, and then a series of turns matching satisfying the maximum power constraints are obtained. Taking the minimum thermal load as the optimization goal to carry out analytical screening and simulation refinement screening, a group of optimal turns matching with the minimum thermal load under the given power constraint is selected. Using this method to optimize the number of turns of the BDFM model in other literatures, the general applicability of the method is verified. Compared with the turn optimization method which completely relies on finite element simulation, this method filters out about three groups of turns quickly through analytical expression. Through the finite element simulation for refinement and screening, the optimal number of turns in the three groups is finally selected. Therefore, the optimization design cycle is greatly shortened and computing resources are saved.
The optimization of the number of winding turns plays an important role in improving the performance of the motor. A semianalytical method combining analysis and simulation is used to propose a method for optimizing the number of winding turns of the two sets of windings of the brushless doublyfed motor (BDFM). The electromagnetic power and thermal load formulas of the BDFM are analytically deduced, and then a series of turns matching satisfying the maximum power constraints are obtained. Taking the minimum thermal load as the optimization goal to carry out analytical screening and simulation refinement screening, a group of optimal turns matching with the minimum thermal load under the given power constraint is selected. Using this method to optimize the number of turns of the BDFM model in other literatures, the general applicability of the method is verified. Compared with the turn optimization method which completely relies on finite element simulation, this method filters out about three groups of turns quickly through analytical expression. Through the finite element simulation for refinement and screening, the optimal number of turns in the three groups is finally selected. Therefore, the optimization design cycle is greatly shortened and computing resources are saved.
2022, 49(7):53-57.
DOI: 10.12177/emca.2021.058
Abstract:
During the process of designing motors with radial vent ducts, the influence of radial vent ducts on the loss of the iron core length should be considered when calculating the effective length of the iron core. Although there are mature mathematical methods for asynchronous motors, there is no mature mathematical method to calculate the loss width of vent ducts for permanent magnet synchronous generator (PMSG). Combined with the 2D magnetostatic solver of ANSYS Maxwell software, a method for calculating the flux density distribution of motor along the axial direction of gap is proposed. The effective iron core length of PMSG with radial vent duct is obtained, and the simulation data are highly consistent with the experimental data. The effectiveness of this method is proved.
During the process of designing motors with radial vent ducts, the influence of radial vent ducts on the loss of the iron core length should be considered when calculating the effective length of the iron core. Although there are mature mathematical methods for asynchronous motors, there is no mature mathematical method to calculate the loss width of vent ducts for permanent magnet synchronous generator (PMSG). Combined with the 2D magnetostatic solver of ANSYS Maxwell software, a method for calculating the flux density distribution of motor along the axial direction of gap is proposed. The effective iron core length of PMSG with radial vent duct is obtained, and the simulation data are highly consistent with the experimental data. The effectiveness of this method is proved.
2022, 49(7):58-62，76.
DOI: 10.12177/emca.2022.049
Abstract:
No-load loss is an important parameter to characterize the magnetic performance of induction motor. Rotor of the motor plays a very important role in the establishment of the magnetic circuit. In order to identify the influence of rotor slot shape parameters on no-load loss, the variation law of noload loss of induction motor under different rotor slot shapes and notch forms is simulated and analyzed by using theoretical calculation and finite element analysis method. The test and simulation analysis results are in good agreement. The study has certain guiding significance for the structural design of high-efficiency induction motor and solving the stator temperature warning fault occurred during the operation of induction motor.
No-load loss is an important parameter to characterize the magnetic performance of induction motor. Rotor of the motor plays a very important role in the establishment of the magnetic circuit. In order to identify the influence of rotor slot shape parameters on no-load loss, the variation law of noload loss of induction motor under different rotor slot shapes and notch forms is simulated and analyzed by using theoretical calculation and finite element analysis method. The test and simulation analysis results are in good agreement. The study has certain guiding significance for the structural design of high-efficiency induction motor and solving the stator temperature warning fault occurred during the operation of induction motor.
2022, 49(7):63-69.
DOI: 10.12177/emca.2022.048
Abstract:
The traditional winding open-circuit fault diagnosis methods of permanent magnet synchronous motor (PMSM) have low efficiency and poor adaptability. An adaptive threshold PMSM winding open-circuit fault diagnosis method based on the improved average current method is proposed. Firstly, the current signals of the PMSM three-phase normal state and fault state are obtained. Secondly, to overcome the influence of measurement noise, the signal is filtered by a sliding window. Thirdly, an improved average current method for winding open-circuit fault diagnosis is proposed. The improved average current method can obtain the adaptive threshold, and the comparison result between the filtered current value and the threshold is used as the basis for fault judgment. Finally, the proposed algorithm is verified by the simulation platform. The results show that the proposed method has advantage of quickness and strong stability.
The traditional winding open-circuit fault diagnosis methods of permanent magnet synchronous motor (PMSM) have low efficiency and poor adaptability. An adaptive threshold PMSM winding open-circuit fault diagnosis method based on the improved average current method is proposed. Firstly, the current signals of the PMSM three-phase normal state and fault state are obtained. Secondly, to overcome the influence of measurement noise, the signal is filtered by a sliding window. Thirdly, an improved average current method for winding open-circuit fault diagnosis is proposed. The improved average current method can obtain the adaptive threshold, and the comparison result between the filtered current value and the threshold is used as the basis for fault judgment. Finally, the proposed algorithm is verified by the simulation platform. The results show that the proposed method has advantage of quickness and strong stability.
2022, 49(7):70-76.
DOI: 10.12177/emca.2022.035
Abstract:
The randomness and volatility of the output power of photovoltaic generator sets affect the safe and stable operation of the power supply system. In order to improve the frequency stability of the hydropowerphotovoltaic power supply system, the mathematical model of the hydraulic turbine speed control system is analyzed, then the optimization ability of the seagull algorithm and the reasoning ability of the fuzzy control are combined, and a seagull-optimized fuzzy PID control (SOAFPID) based method is proposed. The hydroelectric unit control strategy enables the system to quickly adjust the frequency deviation caused by photovoltaic and load fluctuations. The Simulink simulation model is built, the frequency stability capability of the system under different disturbance conditions is analyzed. The simulation results show that the hydroelectric unit controlled by SOAFPID has a minor overshoot and faster stabilization speed under photovoltaic and load power disturbance compared with the traditional PID control method. The dynamic regulation in the hydropower-photovoltaic power supply system performs well.
The randomness and volatility of the output power of photovoltaic generator sets affect the safe and stable operation of the power supply system. In order to improve the frequency stability of the hydropowerphotovoltaic power supply system, the mathematical model of the hydraulic turbine speed control system is analyzed, then the optimization ability of the seagull algorithm and the reasoning ability of the fuzzy control are combined, and a seagull-optimized fuzzy PID control (SOAFPID) based method is proposed. The hydroelectric unit control strategy enables the system to quickly adjust the frequency deviation caused by photovoltaic and load fluctuations. The Simulink simulation model is built, the frequency stability capability of the system under different disturbance conditions is analyzed. The simulation results show that the hydroelectric unit controlled by SOAFPID has a minor overshoot and faster stabilization speed under photovoltaic and load power disturbance compared with the traditional PID control method. The dynamic regulation in the hydropower-photovoltaic power supply system performs well.
12 Sub-Synchronous Oscillation Mitigation of DFIG System with SVG Based on RSC Feedback Linearization
2022, 49(7):77-86.
DOI: 10.12177/emca.2022.061
Abstract:
To the sub-synchronous oscillation in the doubly fed induction generator (DFIG) system with static var generator (SVG), a feedback linearization control method for the rotorside converter (RSC) is proposed, and its oscillation mitigation effect under small/large disturbances is analyzed and verified. Firstly, a 22-order time-domain model of a DFIG system with SVG is established. Secondly, combined with the principle of feedback linearization, the corresponding control method is designed for RSC inner loop control. Thirdly, the effects of PI control and feedback linearization control on the system stability are compared when different parameters change under small disturbance. Finally, considering the effect of the limiting link, the stability of the system RSC inner loop using PI control and feedback linearization control under large disturbance is analyzed. The results show that the feedback linearization control can effectively increase the attraction domain of the equilibrium point and improve the system stability.
To the sub-synchronous oscillation in the doubly fed induction generator (DFIG) system with static var generator (SVG), a feedback linearization control method for the rotorside converter (RSC) is proposed, and its oscillation mitigation effect under small/large disturbances is analyzed and verified. Firstly, a 22-order time-domain model of a DFIG system with SVG is established. Secondly, combined with the principle of feedback linearization, the corresponding control method is designed for RSC inner loop control. Thirdly, the effects of PI control and feedback linearization control on the system stability are compared when different parameters change under small disturbance. Finally, considering the effect of the limiting link, the stability of the system RSC inner loop using PI control and feedback linearization control under large disturbance is analyzed. The results show that the feedback linearization control can effectively increase the attraction domain of the equilibrium point and improve the system stability.
2022, 49(7):87-94，103.
DOI: 10.12177/emca.2022.059
Abstract:
Under partial shading conditions, the output power of photovoltaic arrays has multiple peaks. The traditional maximum power point tracking (MPPT) technology is easy to fall into local peaks during the optimization process, and it is difficult to quickly and accurately track the maximum power point. To solve this problem, an improved sparrow search algorithm is proposed to apply to photovoltaic MPPT technology. The flight step is introduced based on the crow search algorithm, and a dynamic gradient rule is used to adjust the flight step to enhance the exploration ability of the participants, and solve the problem of low optimization accuracy of the sparrow search algorithm in low dimensions. A selfadaption rule is designed and applied to the update of the finder′s position, and the sparrow′s position update is constrained by the boundary processing strategy, which ensures that the sparrow search algorithm can effectively solve the optimization problem in the case of a small search range. The six benchmark functions are tested and verified in MATLAB, and the improved algorithm is applied to the maximum output power point tracking of photovoltaic arrays under uneven illumination conditions for the simulation. The results show that the proposed improved sparrow search algorithm has fast convergence speed and high tracking accuracy, and can effectively avoid falling into local peaks and track the maximum power point quickly and accurately during the optimization process.
Under partial shading conditions, the output power of photovoltaic arrays has multiple peaks. The traditional maximum power point tracking (MPPT) technology is easy to fall into local peaks during the optimization process, and it is difficult to quickly and accurately track the maximum power point. To solve this problem, an improved sparrow search algorithm is proposed to apply to photovoltaic MPPT technology. The flight step is introduced based on the crow search algorithm, and a dynamic gradient rule is used to adjust the flight step to enhance the exploration ability of the participants, and solve the problem of low optimization accuracy of the sparrow search algorithm in low dimensions. A selfadaption rule is designed and applied to the update of the finder′s position, and the sparrow′s position update is constrained by the boundary processing strategy, which ensures that the sparrow search algorithm can effectively solve the optimization problem in the case of a small search range. The six benchmark functions are tested and verified in MATLAB, and the improved algorithm is applied to the maximum output power point tracking of photovoltaic arrays under uneven illumination conditions for the simulation. The results show that the proposed improved sparrow search algorithm has fast convergence speed and high tracking accuracy, and can effectively avoid falling into local peaks and track the maximum power point quickly and accurately during the optimization process.
2022, 49(7):95-103.
DOI: 10.12177/emca.2022.052
Abstract:
The synchronous wind turbine with hydraulic torque converter is a kind of frontend adjusting speed wind turbine based on the coupling of hydraulic torque converter and brushless synchronous generator. The key technology is to adopt the frontend adjusting speed technology to keep the generator speed constant and realize synchronous grid connection. The fuzzy closedloop control of speed is applied on the lowspeed drive chain of the wind turbine, and the control of torque balance is executed by the hydraulic torque converter technology on the highspeed drive chain. The dynamic response speed and accuracy of the speed and torque control is greatly improved when the wind turbine undergoes the lowvoltage ride through. Simultaneously, the forced excitation mode of excitation system introduced in synchronous generator can increase the generator EMF rapidly, compensate the loss of electromagnetic power timely, and provide reactive energy support for the power grid to maintain the stability of the power grid. The certification test of low voltage ride through performance for this wind turbine is executed on site. The result demonstrates the effectiveness and feasibility of this control strategy.
The synchronous wind turbine with hydraulic torque converter is a kind of frontend adjusting speed wind turbine based on the coupling of hydraulic torque converter and brushless synchronous generator. The key technology is to adopt the frontend adjusting speed technology to keep the generator speed constant and realize synchronous grid connection. The fuzzy closedloop control of speed is applied on the lowspeed drive chain of the wind turbine, and the control of torque balance is executed by the hydraulic torque converter technology on the highspeed drive chain. The dynamic response speed and accuracy of the speed and torque control is greatly improved when the wind turbine undergoes the lowvoltage ride through. Simultaneously, the forced excitation mode of excitation system introduced in synchronous generator can increase the generator EMF rapidly, compensate the loss of electromagnetic power timely, and provide reactive energy support for the power grid to maintain the stability of the power grid. The certification test of low voltage ride through performance for this wind turbine is executed on site. The result demonstrates the effectiveness and feasibility of this control strategy.
2022, 49(7):104-111.
DOI: 10.12177/emca.2022.041
Abstract:
Photovoltaic (PV) power has the characteristics of large fluctuation, and its accurate prediction is of great significance for largescale PV power and grid connection. The correlation analysis and time series moving average (MA) methods are used to determine and predict weather data in the region where a power station is located, and a more accurate prediction value of the atmospheric information of PV power generation site is obtained. Principal component analysis is used to reduce dimension of meteorology data, and several key influencing factors are obtained. Finally, the improved support vector machine (SVM) algorithm is used to build the model of the relationship between multivariable feature sequence and PV power. In the verification experiment, the trained SVM model is used to complete the prediction, and the generation of prediction error is analyzed. The prediction effects between the neural network algorithm and the others are compared. The results show that the error of MASVM method is relatively small, which proves the validity of prediction.
Photovoltaic (PV) power has the characteristics of large fluctuation, and its accurate prediction is of great significance for largescale PV power and grid connection. The correlation analysis and time series moving average (MA) methods are used to determine and predict weather data in the region where a power station is located, and a more accurate prediction value of the atmospheric information of PV power generation site is obtained. Principal component analysis is used to reduce dimension of meteorology data, and several key influencing factors are obtained. Finally, the improved support vector machine (SVM) algorithm is used to build the model of the relationship between multivariable feature sequence and PV power. In the verification experiment, the trained SVM model is used to complete the prediction, and the generation of prediction error is analyzed. The prediction effects between the neural network algorithm and the others are compared. The results show that the error of MASVM method is relatively small, which proves the validity of prediction.
16 Research on Energy-Saving Control Strategy for Coasting of High-Speed EMU Based on Genetic Algorithm
2022, 49(7):112-117.
DOI: 10.12177/emca.2022.116
Abstract:
In order to reduce the operation energy consumption of high-speed electric multiple units (EMUs), an energy consumption model of EMUs coasting under on-time constraints is established. On this basis, the adaptive genetic algorithm is used to optimize the coasting control strategy of EMUs in the middle operation stage, allocate the optimal position and number of key condition conversion points of coasting, and determine the coasting speed curve of train operation. As a result, the effects of the punctual and energy-saving operation are achieved.
In order to reduce the operation energy consumption of high-speed electric multiple units (EMUs), an energy consumption model of EMUs coasting under on-time constraints is established. On this basis, the adaptive genetic algorithm is used to optimize the coasting control strategy of EMUs in the middle operation stage, allocate the optimal position and number of key condition conversion points of coasting, and determine the coasting speed curve of train operation. As a result, the effects of the punctual and energy-saving operation are achieved.
You are thevisitor
沪ICP备16038578号-3
Electric Machines & Control Application ® 2025
Supported by:Beijing E-Tiller Technology Development Co., Ltd.
沪ICP备16038578号-3
Electric Machines & Control Application ® 2025
Supported by:Beijing E-Tiller Technology Development Co., Ltd.
