The Research of Gain Adaptive Linear Extended State Observer (ALESO) Based Active Disturbance Rejection Speed Control For Permanent Magnet Synchronous Motor

In this study, linear active disturbance rejection control (LADRC) is used as the speed regulation algorithm of permanent magnet synchronous motor (PMSM) vector control system. It is a fact that the observed gain of traditional linear extended state observer (LESO) is a fixed one and is not able to achieve the dual optimization of noise and disturbance rejection. To solve this optimization problem, this study has proposed the concept of gain adaptive linear extended state observer (ALESO) constructed under gain adaptive regulation law (of ALESO). Then, the proposed mechanism is applied to the speed controller of PMSM vector control system in which the disturbance and noise rejection are evaluated. This study summarizes the parameter characteristics and analyzes the error convergence of ALESO. Finally, the effectiveness of the proposed optimization scheme ALESO is compared with all other existing mechanisms/models for controlling the noise and disturbances and is confirmed by simulation. Keywords: Vector control of permanent magnet synchronous motor, linear active disturbance rejection control, linear expansion state observer, gain adaptive law