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作 者:杨昌卓 夏加宽[1] 张嘉鑫 YANG Changzhuo;XIA Jiakuan;ZHANG Jiaxin(School of Electrical Engineering,Shenyang University of Technology,Shenyang 110870,China)
出 处:《微特电机》2024年第11期42-47,共6页Small & Special Electrical Machines
摘 要:针对模型预测控制中由电机参数误差引起的控制性能下降问题,提出一种根据不同参数对电机的影响大小而分步辨识的策略。在电机稳态时利用模型参考自适应控制辨识电感和磁链,再辨识定子电阻。仿真结果表明,该方法可以准确辨识出电机的多个参数,保证了模型预测控制的控制性能不会因参数变化而下降。Aiming at the problem of control performance degradation caused by motor parameter error in model predictive control,a step identification strategy was presented according to the influence of different parameters on the motor.The inductance and flux were identified by model reference adaptive control,and then the stator resistance was identified.The simulation results show that the proposed method can accurately identify multiple parameters of the motor,and ensure that the control performance of the model predictive control will not deteriorate due to the change of parameters.
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