基于二阶滑模扰动观测的PMSM电流预测控制研究

Research on PMSM Current Predictive Control Based on Second-order Sliding Mode Disturbance Observation

针对无差拍电流预测控制(DPCC)对电机参数的依赖性,系统性能尤其易受电感参数影响的问题,研究基于二阶滑模扰动观测的永磁同步电机(PMSM)电流预测控制方法。首先,根据滑模控制原理分析电感参数失配对系统参数鲁棒性的影响,及传统滑模控制的不连续函数导致的系统“抖振”;然后,在DPCC中引入一种基于二阶趋近律的滑模扰动观测器(SMDO),实时补偿电感参数失配造成的扰动,同时通过二阶趋近律加速扰动误差的收敛;最后,将该方法与DPCC、SMDO+DPCC进行对比仿真实验。实验结果表明,在电感参数失配的情况下,该方法降低了电流稳态误差,提高了系统参数的鲁棒性,减少了传统滑模控制带来的系统“抖振”现象。

To address the issue of the dependence of DPCC on motor parameters and the susceptibility of system performance to inductance parameters,a permanent magnet synchronous motor(PMSM)current prediction control method based on second-order sliding mode disturbance observation is studied.Firstly,based on the principle of sliding mode control,the impact of inductance parameter mismatch on the robustness of system parameters is analyzed,as well as the system"chattering"caused by discontinuous functions in traditional sliding mode control;Then,a sliding mode disturbance observer(SMDO)based on second-order convergence law is introduced in DPCC to compensate for disturbances caused by inductance parameter mismatch in real time,while accelerating the convergence of disturbance errors through second-order convergence law;Finally,compare the method with DPCC and SMDO+DPCC through simulation experiments.The experimental results show that in the case of mismatched inductance parameters,this method reduces the steady-state error of current,improves the robustness of system parameters,and reduces the system"chattering"phenomenon caused by traditional sliding mode control.