基于磁链的模型参考自适应算法中,转子时间常数失准会影响电流模型精度。建立了消除耦合关系的可同时辨识转速和转子时间常数的模型。针对纯积分环节造成的电压模型磁链失准问题,采用了包含两个神经元自适应滤波器的积分器代替传统积分器,消除了直流漂移和积分初始条件的影响。仿真结果表明:设计的模型参考自适应转速观测系统不受转子时间常数变化和直流漂移的影响,系统动态性能良好。最后在DSP电机控制试验平台上进行试验,验证了该方法的有效性和高性能。

In view of the problem that the current model of the model reference adaptive asynchronous motor based on flux linkage was influenced by the rotor time constant and the voltage model contained the pure integral link, a model that could identify the rotational speed and the rotor time constant at the same time was established, which improved the accuracy of the current model. The integrator containing two neuron adaptive filters was used to replace the integrator of the traditional voltage model, which eliminated the influence of the DC drift and the initial integration conditions. The simulation results showed that the proposed model reference adaptive system was not affected by the change of the rotor time constant and the DC drift, and the dynamic performance of the system was good. Finally, experiments were carried out on the DSP motor control experimental platform to verify the effectiveness and high performance of this method.

TM 346

国家自然科学基金委员会与宝钢集团有限公司联合项目(U1260203)；河北省高等学校创新团队领军人才培养计划项目(LJRC013)