Research on sensorless control of PMSM based on novel double-sliding mode MRAS

Abstract

In order to solve the problems of the traditional model reference adaptive system (MRAS) speed estimation adaptive mechanism, such as poor tracking accuracy and slow response, A new dual sliding mode adaptive observer is designed to estimate the rotational speed and rotor position of permanent magnet synchronous motor (PMSM). Firstly, a new two-variable complex reaching law is used to replace the traditional first-order sliding mode for velocity loop control, and an anti-saturation scheme is introduced to improve the anti-interference ability of the system. Secondly, the PI adaptive mechanism in the traditional MRAS is replaced by a new super-twisting weighted integral type algorithm adaptive observer (STWITA-AO), which effectively speeds up the convergence of the estimated speed and reduces the inherent chattering of the sliding mode structure. Finally, the relevant simulation is compared and verified. The simulation results show that the estimation strategy based on the new double sliding mode MRAS control can make the speed estimate converge to the actual value faster, and improve the dynamic performance and robustness of the observer.