Second-sliding mode adaptive active flux control for Interior Permanent Magnet Synchronous Motor

Abstract

A stator active flux second-order sliding mode adaptive observer is proposed for interior permanent magnet synchronous motor (IPMSM) sensorless control systems to improve dynamic performance and avoid chattering in traditional sliding mode observer. Utilizing Super-twisting Algorithm (STA), the proposed observer is presented defining the stator current error and its estimations as state variables. In the proposed observer, the accurate active flux estimation fast converged in finite time can be obtained, and then the rotor information is obtained. The system possesses strong robustness and the motor realizes stability performance due to existence of active flux estimation and the rotor information. The simulation results verify the effectiveness and feasibility of the proposed method.