Multigain Online Autotuning Technique-Based Discrete-Time Current Regulator for Permanent Magnet Synchronous Motors

In this article, a multigain online autotuning technique-based discrete-time current regulator for permanent magnet synchronous motors is proposed. With the nominal current regulator in the proposed control scheme, the performance and robustness of the current control system are improved. Then, a multigain online autotuning method is proposed to further suppress the adverse effects of parametric uncertainties. In the proposed approach, the voltage vectors of the current regulator are mapped to an extended synchronous reference frame, based on which an adaptive observer is constructed without approximation to autotune the gains of the current regulator online. Compared with traditional recursive least-squares methods, the proposed autotuning method can be implemented with greatly reduced computational burden. The proposed current control method is designed directly in the discrete-time domain, which guarantees the control performance in digital implementations. In addition, the proposed current control method can be applied to both the interior and surface-mounted permanent magnet synchronous motors. Finally, theoretical analysis and comparative experiments verify the effectiveness of the proposed method.