Sensorless Control of IPMSM Based on Super-Twisting Sliding Mode Observer With CVGI Considering Flying Start

Abstract

In this article, a super-twisting algorithm-based sliding mode observer (STA-SMO) with a complex vector generalized integrator (CVGI) for sensorless control of an interior permanent magnet synchronous motor (IPMSM) is proposed. The STA-SMO exists the compromise between chattering and estimation accuracy under limited control frequency in practice. In order to solve this problem, a CVGI is introduced to guarantee the accuracy of the back electromotive force (EMF) estimation while alleviating chattering. The proposed STA-SMO with CVGI can be used not only in the normal operation but also in the flying start operation based on virtual resistance. The accuracy of the estimated rotor position is not influenced by the value of the virtual resistance during flying start. Furthermore, the proposed STA-SMO with CVGI is designed based on the discrete model of the IPMSM in the discrete-time domain. The stability of the proposed method in the discrete-time domain is further analyzed. Finally, the effectiveness of proposed method is verified by experiments.