基于参数自适应的永磁同步电机无差拍预测电流控制

无差拍预测电流控制(dead-beat predictive current control,DPCC)因其响应迅速而在电机控制领域具有较大应用潜力,然而受参数敏感影响,该方法鲁棒性不高。为此,文中提出一种结合参数自适应的永磁同步电机(permanent magnet synchronous machine,PMSM)电流无差拍控制方法,以解决无差拍控制在参数失调下的鲁棒性问题。首先,介绍无差拍电流控制的基本原理。随后,重点分析在电机参数不精确的条件下,参数误差对无差拍电流控制环路的影响。针对电机参数不精确的情况,提出一种结合了参数自适应算法的预测电流控制方法,通过在线进行电机参数辨识,实时修改预测电流控制器的参数,以达到参数修正的效果。最后,对该方法的控制效果进行对比仿真验证与效果评估。结果表明,采用该方法后电流控制过程中系统鲁棒性提升明显,效果较好。

Parameter-adaptive dead-beat predictive current control of permanent magnet synchronous motor

Dead-beat predictive current control (DPCC) has great potential in the field of motor control due to its fast response. However,it suffers from low robustness due to its sensitivity to parameter variations. In this paper,a DPCC of permanent magnet synchronous motors (PMSM) combined with parameter adaptation is proposed to enhance the robustness of the dead-beat control under parameter misalignment. Firstly,the basic principles of dead-beat current control are introduced. Then,the influence of parameter errors on the control loop of dead-beat current control under imprecise motor parameters is analyzed. To address the issue of imprecise motor parameters,a predictive current control method combined with a parameter-adaptive algorithm is proposed. The motor parameters are identified online,and the parameters of the predictive current controller are modified in real-time to achieve parameter correction. Finally,comparative simulations and performance evaluations are conducted to validate the effectiveness of the proposed method. The results show that the robustness of the current control system is significantly improved,resulting in better control performance when applying the method proposed in this paper.