To improve the dynamic performance of conventional deadbeat predictive current control(DPCC)under parameter mismatch,especially eliminate the current overshoot and oscillation during torque mutation,it is necessary to...To improve the dynamic performance of conventional deadbeat predictive current control(DPCC)under parameter mismatch,especially eliminate the current overshoot and oscillation during torque mutation,it is necessary to enhance the robustness of DPCC against various working conditions.However,the disturbance from parameter mismatch can deteriorate the dynamic performance.To deal with the above problem,firstly,traditional DPCC and the parameter sensitivity of DPCC are introduced and analyzed.Secondly,an extended state observer(ESO)combined with DPCC method is proposed,which can observe and suppress the disturbance due to various parameter mismatch.Thirdly,to improve the accuracy and stability of ESO,an adaptive extended state observer(AESO)using fuzzy controller based on ESO,is presented,and combined with DPCC method.The improved DPCC-AESO can switch the value of gain coefficients with fuzzy control,accelerating the current response speed and avoid the overshoot and oscillation,which improves the robustness and stability performance of SPMSM.Finally,the three methods,as well as conventional DPCC method,DPCC-ESO method,DPCC-AESO method,are comparatively analyzed in this paper.The effectiveness of the proposed two methods are verified by simulation and experimental results.展开更多
针对永磁同步电动机传统无差拍电流预测控制中电流采样等数字延迟而导致的跟踪误差大、控制精度低等问题,提出一种带有预测电流误差校正环节的两步预测控制方法。传统速度环采用PI控制会使系统仍存在启动超调、动态响应时间长、抗负载...针对永磁同步电动机传统无差拍电流预测控制中电流采样等数字延迟而导致的跟踪误差大、控制精度低等问题,提出一种带有预测电流误差校正环节的两步预测控制方法。传统速度环采用PI控制会使系统仍存在启动超调、动态响应时间长、抗负载扰动能力差等缺陷,因此,在改进型无差拍电流预测控制的基础上,速度环采用基于负载扰动补偿的模型预测速度控制策略,构建内模控制观测器(internal model control observer,IMCO)来估计负载扰动进而对速度环输出值进行前馈补偿。在Simulink环境下进行仿真,通过仿真结果对比可知,所提方法具有响应快、超调小、静态误差小的特点,可提高系统的抗负载扰动性能和稳定性。展开更多
基金supported by the National Natural Science Foundation of China(No.52005037).
文摘To improve the dynamic performance of conventional deadbeat predictive current control(DPCC)under parameter mismatch,especially eliminate the current overshoot and oscillation during torque mutation,it is necessary to enhance the robustness of DPCC against various working conditions.However,the disturbance from parameter mismatch can deteriorate the dynamic performance.To deal with the above problem,firstly,traditional DPCC and the parameter sensitivity of DPCC are introduced and analyzed.Secondly,an extended state observer(ESO)combined with DPCC method is proposed,which can observe and suppress the disturbance due to various parameter mismatch.Thirdly,to improve the accuracy and stability of ESO,an adaptive extended state observer(AESO)using fuzzy controller based on ESO,is presented,and combined with DPCC method.The improved DPCC-AESO can switch the value of gain coefficients with fuzzy control,accelerating the current response speed and avoid the overshoot and oscillation,which improves the robustness and stability performance of SPMSM.Finally,the three methods,as well as conventional DPCC method,DPCC-ESO method,DPCC-AESO method,are comparatively analyzed in this paper.The effectiveness of the proposed two methods are verified by simulation and experimental results.
文摘针对永磁同步电动机传统无差拍电流预测控制中电流采样等数字延迟而导致的跟踪误差大、控制精度低等问题,提出一种带有预测电流误差校正环节的两步预测控制方法。传统速度环采用PI控制会使系统仍存在启动超调、动态响应时间长、抗负载扰动能力差等缺陷,因此,在改进型无差拍电流预测控制的基础上,速度环采用基于负载扰动补偿的模型预测速度控制策略,构建内模控制观测器(internal model control observer,IMCO)来估计负载扰动进而对速度环输出值进行前馈补偿。在Simulink环境下进行仿真,通过仿真结果对比可知,所提方法具有响应快、超调小、静态误差小的特点,可提高系统的抗负载扰动性能和稳定性。
