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Volume 49,Issue 1,2022 Table of Contents
2022, 49(1):1-7,15.
DOI: 10.12177/emca.2021.158
Abstract:
For the sensorless high-speed permanent magnet synchronous motor (HSPMSM) system with harsh operating environment, the parameter dependence of the sensorless algorithm deserves to disscuss. A position sensorless algorithm based on estimating the extended back electromotive force (EMF) in a rotating coordinate system is studied, and the system stability analysis method is used to qualitatively analyze the motor parameter dependence of the algorithm. By establishing a fourth-order extended Kalman observer to identify the motor parameters online and combining the parameter dependence law, the motor parameters in the position observer algorithm model are adjusted in real time, which effectively solves the problem of system instability caused by parameter changes during operation. The effectiveness of the method proposed is verified on the high-speed centrifugal compressor control platform with rated power and speed of 60 kW and 45 000 r/min, respectively.
For the sensorless high-speed permanent magnet synchronous motor (HSPMSM) system with harsh operating environment, the parameter dependence of the sensorless algorithm deserves to disscuss. A position sensorless algorithm based on estimating the extended back electromotive force (EMF) in a rotating coordinate system is studied, and the system stability analysis method is used to qualitatively analyze the motor parameter dependence of the algorithm. By establishing a fourth-order extended Kalman observer to identify the motor parameters online and combining the parameter dependence law, the motor parameters in the position observer algorithm model are adjusted in real time, which effectively solves the problem of system instability caused by parameter changes during operation. The effectiveness of the method proposed is verified on the high-speed centrifugal compressor control platform with rated power and speed of 60 kW and 45 000 r/min, respectively.
2022, 49(1):8-15.
DOI: 10.12177/emca.2021.145
Abstract:
The change of motor parameters can affect the performance of permanent magnet synchronous motor (PMSM) position sensorless control. In order to solve this problem, the recursive least squares (RLS) algorithm is used for the online identification of PMSM parameters. Under the maximum torque per ampere (MTPA) control strategy, the improved model reference adaptive system (MRAS) based on back propagation (BP) neural network is used to construct a position sensorless control scheme, and a position sensorless control scheme for PMSMs based on parameter identification is proposed. The RLS method is used to identify the quadrature axis inductance and rotor flux of the PMSM online, and the parameter identification results are applied to the PMSM sensorless algorithm. Simulations and experiments prove that the parameter identification algorithm based on the RLS method can accurately identify the rotor flux and quadrature axis inductance of the PMSM, and the PMSM sensorless control scheme based on parameter identification is feasible.
The change of motor parameters can affect the performance of permanent magnet synchronous motor (PMSM) position sensorless control. In order to solve this problem, the recursive least squares (RLS) algorithm is used for the online identification of PMSM parameters. Under the maximum torque per ampere (MTPA) control strategy, the improved model reference adaptive system (MRAS) based on back propagation (BP) neural network is used to construct a position sensorless control scheme, and a position sensorless control scheme for PMSMs based on parameter identification is proposed. The RLS method is used to identify the quadrature axis inductance and rotor flux of the PMSM online, and the parameter identification results are applied to the PMSM sensorless algorithm. Simulations and experiments prove that the parameter identification algorithm based on the RLS method can accurately identify the rotor flux and quadrature axis inductance of the PMSM, and the PMSM sensorless control scheme based on parameter identification is feasible.
2022, 49(1):16-21.
DOI: 10.12177/emca.2021.130
Abstract:
The performances of surface permanent magnet synchronous motor (SPMSM) model predictive torque control (MPTC) systems are different in various stator flux and torque predictive models. The SPMSM MPTC systems based on rotor flux, stator flux and stationary coordinates are built. Simulation results provide references for the determination of predictive model for the SPMSM MPTC system.
The performances of surface permanent magnet synchronous motor (SPMSM) model predictive torque control (MPTC) systems are different in various stator flux and torque predictive models. The SPMSM MPTC systems based on rotor flux, stator flux and stationary coordinates are built. Simulation results provide references for the determination of predictive model for the SPMSM MPTC system.
2022, 49(1):22-27.
DOI: 10.12177/emca.2021.150
Abstract:
The control accuracy of servo system is easily affected by friction and other disturbances at low speed. Through the analysis of the friction and disturbance in the ball screw platform, a disturbance compensation method based on the LuGre friction model and the reduced-order extended state observer (RESO) is proposed. Through the curve fitting and genetic algorithm to identify the parameters of the system′s LuGre friction model, the identified friction model is used to achieve the compensation of the friction in the system. The RESO is used to achieve the compensation of friction over-compensation or less-compensation and external lumped disturbances in the system. The experimental results show that this method can not only improve the effect of friction compensation, but also suppress the disturbance of the system, which effectively improves the tracking accuracy of the system.
The control accuracy of servo system is easily affected by friction and other disturbances at low speed. Through the analysis of the friction and disturbance in the ball screw platform, a disturbance compensation method based on the LuGre friction model and the reduced-order extended state observer (RESO) is proposed. Through the curve fitting and genetic algorithm to identify the parameters of the system′s LuGre friction model, the identified friction model is used to achieve the compensation of the friction in the system. The RESO is used to achieve the compensation of friction over-compensation or less-compensation and external lumped disturbances in the system. The experimental results show that this method can not only improve the effect of friction compensation, but also suppress the disturbance of the system, which effectively improves the tracking accuracy of the system.
2022, 49(1):28-33,55.
DOI: 10.12177/emca.2021.157
Abstract:
The two-phase hybrid stepping motor is a nonlinear, multi-variable and strongly coupled system. Aiming at the problems of simple open-loop control structure and low positioning accuracy of two-phase hybrid stepping motor, a backstepping control method based on radial basis function (RBF) neural network is proposed. The control method overcomes the shortcomings of traditional backstepping control for nonlinear control, uses the universal approximation property of RBF neural network to compensate for the uncertainties in motor operation. Meanwhile, Gaussian basis function and adaptive law are introduced, which can make the RBF neural network better compensate for the uncertainties in motor operation. The combination of neural network and backstepping control methods effectively improves the position tracking accuracy and steady-state performance of the two-phase hybrid stepping motor control.
The two-phase hybrid stepping motor is a nonlinear, multi-variable and strongly coupled system. Aiming at the problems of simple open-loop control structure and low positioning accuracy of two-phase hybrid stepping motor, a backstepping control method based on radial basis function (RBF) neural network is proposed. The control method overcomes the shortcomings of traditional backstepping control for nonlinear control, uses the universal approximation property of RBF neural network to compensate for the uncertainties in motor operation. Meanwhile, Gaussian basis function and adaptive law are introduced, which can make the RBF neural network better compensate for the uncertainties in motor operation. The combination of neural network and backstepping control methods effectively improves the position tracking accuracy and steady-state performance of the two-phase hybrid stepping motor control.
2022, 49(1):34-38.
DOI: 10.12177/emca.2021.151
Abstract:
Low-speed electric brake control strategy of the induction motor is described. The cause of the torque deviation in low-speed electric brake in practical applications is analyzed. A three-dimensional surface plot of the ratio of the given torque to the actual torque is created by MATLAB when the rotor field orientation angle deviates. The torque of motor is inaccurate because the rotor field orientation deviates during low-speed electric braking. In order to solve the problem, the reactive power model based rotor time constant adaptive algorithm is adopted. The experiment demonstrates that the algorithm can correct the rotor field orientation deviation and has good dynamic performance. The performance meets the requirement of the metro.
Low-speed electric brake control strategy of the induction motor is described. The cause of the torque deviation in low-speed electric brake in practical applications is analyzed. A three-dimensional surface plot of the ratio of the given torque to the actual torque is created by MATLAB when the rotor field orientation angle deviates. The torque of motor is inaccurate because the rotor field orientation deviates during low-speed electric braking. In order to solve the problem, the reactive power model based rotor time constant adaptive algorithm is adopted. The experiment demonstrates that the algorithm can correct the rotor field orientation deviation and has good dynamic performance. The performance meets the requirement of the metro.
2022, 49(1):39-48.
DOI: 10.12177/emca.2021.155
Abstract:
Accurate analysis of the influence of the motor structure and magnetic saturation on the air-gap magnetic field distribution is the key to the design and optimization of permanent magnet motor. Taking the fractional slot concentrated winding interior permanent magnet synchronous motor (FSCW-IPMSM) as the research object, the analytical model of no-load permanent magnet magnetic field considering rotor magnetic bridge leakage and the analytical expression of armature reaction magnetic field are obtained respectively based on the magnetic circuit analysis method and the distribution law of FSCW. Considering the stator slot structure and the permanent magnet distribution in the rotor, the influence of stator slot and rotor salient pole on the air-gap magnetic field is taken into account by relative air-gap permeability. Combined with the B-H magnetization curve of the stator core material and the local magnetic saturation characteristics of the stator core, the core equivalent magnetic resistance and dynamic permeability are introduced to consider the effect of the stator core magnetic saturation on the loaded air-gap magnetic field. Finally, the results of finite element simulation and prototype test verify the accuracy of theoretical analysis. It provides a theoretical basis for the electromagnetic design and performance analysis of this type of motor.
Accurate analysis of the influence of the motor structure and magnetic saturation on the air-gap magnetic field distribution is the key to the design and optimization of permanent magnet motor. Taking the fractional slot concentrated winding interior permanent magnet synchronous motor (FSCW-IPMSM) as the research object, the analytical model of no-load permanent magnet magnetic field considering rotor magnetic bridge leakage and the analytical expression of armature reaction magnetic field are obtained respectively based on the magnetic circuit analysis method and the distribution law of FSCW. Considering the stator slot structure and the permanent magnet distribution in the rotor, the influence of stator slot and rotor salient pole on the air-gap magnetic field is taken into account by relative air-gap permeability. Combined with the B-H magnetization curve of the stator core material and the local magnetic saturation characteristics of the stator core, the core equivalent magnetic resistance and dynamic permeability are introduced to consider the effect of the stator core magnetic saturation on the loaded air-gap magnetic field. Finally, the results of finite element simulation and prototype test verify the accuracy of theoretical analysis. It provides a theoretical basis for the electromagnetic design and performance analysis of this type of motor.
2022, 49(1):49-55.
DOI: 10.12177/emca.2021.152
Abstract:
At present, there are problems such as mechanical vibration and rigid friction in low speed and high torque transmission system. According to the modulated magnetic gear effect, the field-modulated permanent magnet gear motor (FPGM) can be used for low speed and high torque direct drive. By analyzing the role of each harmonic of winding magnetomotive force in FPGM and fractional slot concentrated winding permanent magnet synchronous motor (FSCW-PMSM), the similarities and differences between the two motors are qualitatively compared. By establishing the finite element model of FPGM and FSCW-PMSM, the differences of torque characteristics, power factors and parameter characteristics are analyzed, and the ability of FPGM to produce large torque is verified, which provides a reference for the analysis and design of key parameters. The no-load experimental platform of FPGM prototype is built, and the experimental data are compared with the finite element analysis results, proving the feasibility of using FPGM to provide low speed and large torque scheme.
At present, there are problems such as mechanical vibration and rigid friction in low speed and high torque transmission system. According to the modulated magnetic gear effect, the field-modulated permanent magnet gear motor (FPGM) can be used for low speed and high torque direct drive. By analyzing the role of each harmonic of winding magnetomotive force in FPGM and fractional slot concentrated winding permanent magnet synchronous motor (FSCW-PMSM), the similarities and differences between the two motors are qualitatively compared. By establishing the finite element model of FPGM and FSCW-PMSM, the differences of torque characteristics, power factors and parameter characteristics are analyzed, and the ability of FPGM to produce large torque is verified, which provides a reference for the analysis and design of key parameters. The no-load experimental platform of FPGM prototype is built, and the experimental data are compared with the finite element analysis results, proving the feasibility of using FPGM to provide low speed and large torque scheme.
2022, 49(1):56-61.
DOI: 10.12177/emca.2021.159
Abstract:
The noise of traction motor is composed of cooling fan noise, electromagnetic vibration noise and mechanical noise, in which the aerodynamic noise caused by cooling fan is an important part. The computational fluid dynamics(CFD) calculation model of the traction motor is established, and the DES-SST turbulence model is used to calculate the flow field in the traction motor. Through the streamline and vortex intensity distribution on the rotating surface and meridional surface, it is found that the flow separation phenomenon in the fan channel is very significant, and there is high-strength vortex motion at the fan air inlet and blade tip. The finite element calculation model for the aerodynamic noise of the traction motor is established，and the calculation result of the unsteady flow field is used as the sound source to predict the radiated noise of the traction motor. The calculation results show that the minimum difference of total sound pressure level at the noise monitoring points between the simulation calculated value and the test value is 0.1 dB(A), and the difference of average sound pressure level at multiple points between simulation and test is 1.8 dB(A). The calculation results are accurate. The aerodynamic noise of traction motor consists of discrete noise and broadband noise. The highest peak of discrete noise comes from the dipole noise of cooling fan, and the unequal spacing arrangement of fan blades causes the fundamental frequency of blade passing frequency to shift from 369 Hz to 221 Hz. At the same time, the radiation directivity of noise at this frequency presents a typical dipole characteristic and mainly propagates outward from the air inlet and outlet of traction motor. The research can provide reference for the noise reduction optimization of traction motor.
The noise of traction motor is composed of cooling fan noise, electromagnetic vibration noise and mechanical noise, in which the aerodynamic noise caused by cooling fan is an important part. The computational fluid dynamics(CFD) calculation model of the traction motor is established, and the DES-SST turbulence model is used to calculate the flow field in the traction motor. Through the streamline and vortex intensity distribution on the rotating surface and meridional surface, it is found that the flow separation phenomenon in the fan channel is very significant, and there is high-strength vortex motion at the fan air inlet and blade tip. The finite element calculation model for the aerodynamic noise of the traction motor is established，and the calculation result of the unsteady flow field is used as the sound source to predict the radiated noise of the traction motor. The calculation results show that the minimum difference of total sound pressure level at the noise monitoring points between the simulation calculated value and the test value is 0.1 dB(A), and the difference of average sound pressure level at multiple points between simulation and test is 1.8 dB(A). The calculation results are accurate. The aerodynamic noise of traction motor consists of discrete noise and broadband noise. The highest peak of discrete noise comes from the dipole noise of cooling fan, and the unequal spacing arrangement of fan blades causes the fundamental frequency of blade passing frequency to shift from 369 Hz to 221 Hz. At the same time, the radiation directivity of noise at this frequency presents a typical dipole characteristic and mainly propagates outward from the air inlet and outlet of traction motor. The research can provide reference for the noise reduction optimization of traction motor.
2022, 49(1):62-68.
DOI: 10.12177/emca.2021.146
Abstract:
The basic concept of unit motor is introduced. Taking a 12-slot double-layer fractional-slot concentrated winding as an example, the winding principle is given. Under the condition of uncertain pole pairs of unit motor, the winding factor and the magnetomotive force of fractional-slot concentrated winding are derived for different harmonic orders. After decomposing the stator magnetomotive force for one coil, a group of coils, one-phase winding and three-phase winding by using the AC motor winding theory and the Fourier series expansion of function, the basic characteristics and general laws of the fractional-slot concentrated winding are derived. At last, it is pointed out that using the rotor pole pairs close to but not equal to half of the number of stator slots is the best choice for the permanent magnet motor with fractional slot concentrated winding.
The basic concept of unit motor is introduced. Taking a 12-slot double-layer fractional-slot concentrated winding as an example, the winding principle is given. Under the condition of uncertain pole pairs of unit motor, the winding factor and the magnetomotive force of fractional-slot concentrated winding are derived for different harmonic orders. After decomposing the stator magnetomotive force for one coil, a group of coils, one-phase winding and three-phase winding by using the AC motor winding theory and the Fourier series expansion of function, the basic characteristics and general laws of the fractional-slot concentrated winding are derived. At last, it is pointed out that using the rotor pole pairs close to but not equal to half of the number of stator slots is the best choice for the permanent magnet motor with fractional slot concentrated winding.
2022, 49(1):69-73.
DOI: 10.12177/emca.2021.168
Abstract:
Based on the essential relation between a 3/12-phase double-winding AC-DC generator and an ordinary 3-phase synchronous generator, according to the method of analyzing the electromagnetic torque of a 3-phase synchronous generator under sudden short circuit, the electromagnetic torque of the 3-phase AC winding loaded double-winding AC-DC generator under DC side sudden short circuit is studied. The concise analytical expressions for alternating, unidirectional and total electromagnetic torques are obtained, which are verified by experiments. These expressions are concise and precise and have clear physical meaning, so they are especially suitable for engineering applications.
Based on the essential relation between a 3/12-phase double-winding AC-DC generator and an ordinary 3-phase synchronous generator, according to the method of analyzing the electromagnetic torque of a 3-phase synchronous generator under sudden short circuit, the electromagnetic torque of the 3-phase AC winding loaded double-winding AC-DC generator under DC side sudden short circuit is studied. The concise analytical expressions for alternating, unidirectional and total electromagnetic torques are obtained, which are verified by experiments. These expressions are concise and precise and have clear physical meaning, so they are especially suitable for engineering applications.
2022, 49(1):74-79,95.
DOI: 10.12177/emca.2021.160
Abstract:
In order to accurately calculate the deflection of permanent magnet synchronous motor (PMSM) rotor and reduce the production cost of motor, the eccentric electromagnetic force and deflection of the rotor are analyzed and calculated based on theoretical analysis and finite element method. The analytical expression of unbalanced magnetic pull of PMSM is derived, and the finite element calculation methods of unbalanced magnetic pull and rotor deflection are introduced in detail. Taking a 355 kW 1 500 r/min PMSM as an example, the calculation results of finite element method and analytical method of unbalanced magnetic pull and rotor deflection are compared, which verifies the reliability of finite element method and has certain reference significance for the accurate calculation of rotor machinery and the study of vibration and noise of PMSM.
In order to accurately calculate the deflection of permanent magnet synchronous motor (PMSM) rotor and reduce the production cost of motor, the eccentric electromagnetic force and deflection of the rotor are analyzed and calculated based on theoretical analysis and finite element method. The analytical expression of unbalanced magnetic pull of PMSM is derived, and the finite element calculation methods of unbalanced magnetic pull and rotor deflection are introduced in detail. Taking a 355 kW 1 500 r/min PMSM as an example, the calculation results of finite element method and analytical method of unbalanced magnetic pull and rotor deflection are compared, which verifies the reliability of finite element method and has certain reference significance for the accurate calculation of rotor machinery and the study of vibration and noise of PMSM.
2022, 49(1):80-87.
DOI: 10.12177/emca.2021.165
Abstract:
The high speed spindle motor is the crucial component of motorized spindle. The heating problem of motor directly affects the machining accuracy and operation reliability of motorized spindle. Taking a 100 000 r/min spindle asynchronous motor as an example, the thermal analysis and efficient cooling structure design are carried out to ensure the reliable and stable operation of the spindle motor. The main heat source of the spindle motor is determined and the influence of rotor speed and rotor surface roughness on the air friction loss of the spindle motor is studied. Considering the influence of rotating magnetic field and harmonics on the calculation of iron loss, the teeth and yokes of the stator are separately modelled in the finite element method to improve the simulation accuracy and analyze the distribution law of motor iron loss. The 3D thermal simulation of the motor is carried out based on hydrodynamics, and an efficient cooling structure design scheme is determined by comparing the cooling effects of the mainstream circumferential spiral and axial Z-shaped cooling structures. Furthermore, a design scheme of opening air slots in the rotor core is proposed, which increases the thermal resistance between the rotor core and the shaft and improves the heat dissipation capacity of the motor to keep the temperature rise of the rotating shaft within a safe range. Finally, the mechanical strength of the rotor structure is checked to ensure the reliable operation of the spindle motor.
The high speed spindle motor is the crucial component of motorized spindle. The heating problem of motor directly affects the machining accuracy and operation reliability of motorized spindle. Taking a 100 000 r/min spindle asynchronous motor as an example, the thermal analysis and efficient cooling structure design are carried out to ensure the reliable and stable operation of the spindle motor. The main heat source of the spindle motor is determined and the influence of rotor speed and rotor surface roughness on the air friction loss of the spindle motor is studied. Considering the influence of rotating magnetic field and harmonics on the calculation of iron loss, the teeth and yokes of the stator are separately modelled in the finite element method to improve the simulation accuracy and analyze the distribution law of motor iron loss. The 3D thermal simulation of the motor is carried out based on hydrodynamics, and an efficient cooling structure design scheme is determined by comparing the cooling effects of the mainstream circumferential spiral and axial Z-shaped cooling structures. Furthermore, a design scheme of opening air slots in the rotor core is proposed, which increases the thermal resistance between the rotor core and the shaft and improves the heat dissipation capacity of the motor to keep the temperature rise of the rotating shaft within a safe range. Finally, the mechanical strength of the rotor structure is checked to ensure the reliable operation of the spindle motor.
2022, 49(1):88-95.
DOI: 10.12177/emca.2021.161
Abstract:
Aiming at the problems of long transmission chain, low system efficiency and high noise of traditional asynchronous motor driven jacquard air jet loom, a permanent magnet motor direct-drive system is proposed. In order to ensure the cloth quality, the genetic algorithm is used to optimize rotor eccentricity and pole arc coefficient and reduce torque ripple. Due to the continuous change of the load of jacquard air jet loom, the magneto-thermal performance of the motor is constantly affected. A calculation method of transient magneto-thermal bi-directional coupling is proposed to approach the steady-state temperature rise step by step. The temperature rise distribution law and electromagnetic performance of the motor at different power points are compared and analyzed, and the optimal power point is obtained. Finally, a 3.1 kW prototype is developed and tested, and the experimental data are basically consistent with the simulation results. The rationality of using transient magneto-thermal bi-directional coupling to approach steady-state temperature rise successively and select the optimal power point is verified, which provides a basis for the design of direct-drive permanent magnet motor in jacquard air jet loom.
Aiming at the problems of long transmission chain, low system efficiency and high noise of traditional asynchronous motor driven jacquard air jet loom, a permanent magnet motor direct-drive system is proposed. In order to ensure the cloth quality, the genetic algorithm is used to optimize rotor eccentricity and pole arc coefficient and reduce torque ripple. Due to the continuous change of the load of jacquard air jet loom, the magneto-thermal performance of the motor is constantly affected. A calculation method of transient magneto-thermal bi-directional coupling is proposed to approach the steady-state temperature rise step by step. The temperature rise distribution law and electromagnetic performance of the motor at different power points are compared and analyzed, and the optimal power point is obtained. Finally, a 3.1 kW prototype is developed and tested, and the experimental data are basically consistent with the simulation results. The rationality of using transient magneto-thermal bi-directional coupling to approach steady-state temperature rise successively and select the optimal power point is verified, which provides a basis for the design of direct-drive permanent magnet motor in jacquard air jet loom.
15 PI Parameter Setting of Brushless AC Power Generation System Based on Particle Swarm Optimization
2022, 49(1):96-102.
DOI: 10.12177/emca.2021.164
Abstract:
When a three-stage brushless AC synchronous generator voltage regulation control system model is built in MATLAB/Simulink software, it is necessary to select appropriate PI parameters to make the output voltage of the system meet the corresponding indicators. Considering that the traditional PI parameter setting method is complex and the calculated parameters need to be adjusted many times to meet the system indicators, a method for PI parameter setting based on the particle swarm optimization (PSO) algorithm is designed to improve the PI parameter tuning efficiency of the three-stage brushless AC synchronous generator voltage regulation control system model. The simulation results verify that the PSO algorithm to adjust the PI parameters of the brushless AC power generation system is feasible, and the appropriate PI parameters can be adjusted according to the required output voltage indicators.
When a three-stage brushless AC synchronous generator voltage regulation control system model is built in MATLAB/Simulink software, it is necessary to select appropriate PI parameters to make the output voltage of the system meet the corresponding indicators. Considering that the traditional PI parameter setting method is complex and the calculated parameters need to be adjusted many times to meet the system indicators, a method for PI parameter setting based on the particle swarm optimization (PSO) algorithm is designed to improve the PI parameter tuning efficiency of the three-stage brushless AC synchronous generator voltage regulation control system model. The simulation results verify that the PSO algorithm to adjust the PI parameters of the brushless AC power generation system is feasible, and the appropriate PI parameters can be adjusted according to the required output voltage indicators.
2022, 49(1):103-109.
DOI: 10.12177/emca.2021.166
Abstract:
In order to make the running process of freight train model close to reality, a smooth switching method of freight train particle model based on acceleration adaptation is proposed. Firstly, the single-point and multi-point models of the train are established, and the adaptive switching between the models is studied based on the change rate of disturbed acceleration deviation. Then, in order to reduce the working energy consumption of the high-power locomotive traction motor, the multi-objective optimization model is established by introducing optimization objectives and constraint conditions of freight train traction control, and a new multi-objective moth-flame optimization (MOMFO) algorithm is proposed to optimize the running process of freight train. Finally, using HXD1 electric locomotive pulling 50 C80 freight cars as the research object, the simulation verifies that the proposed method is of great significance to energy saving and operation process optimization of freight train traction motor.
In order to make the running process of freight train model close to reality, a smooth switching method of freight train particle model based on acceleration adaptation is proposed. Firstly, the single-point and multi-point models of the train are established, and the adaptive switching between the models is studied based on the change rate of disturbed acceleration deviation. Then, in order to reduce the working energy consumption of the high-power locomotive traction motor, the multi-objective optimization model is established by introducing optimization objectives and constraint conditions of freight train traction control, and a new multi-objective moth-flame optimization (MOMFO) algorithm is proposed to optimize the running process of freight train. Finally, using HXD1 electric locomotive pulling 50 C80 freight cars as the research object, the simulation verifies that the proposed method is of great significance to energy saving and operation process optimization of freight train traction motor.
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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.
