Anti-Disturbance Dynamic Surface Control for Position Tracking of Interior Permanent Magnet Synchronous Motor Based on Nonlinear Extended State Observer

Abstract

In this paper, an anti-disturbance output feedback dynamic surface control (DSC) method is proposed for the position tracking of interior permanent magnet synchronous motor subject to unknown nonlinearities and time-varying disturbances. Specifically, a nonlinear extended-state-observer (NLESO) based on exponential functions is designed to estimate the total disturbance composed of system uncertainties and external disturbances. Then, by compensating for the total disturbance via the NLESO, an anti-disturbance output feedback law is designed based on the DSC approach. The salient features of the proposed approach is twofold. First, the total uncertainty including internal and external disturbances can be accurately estimated by an NLESO in real time. Second, the desired anti-disturbance performance of the servo control system can be achieved regardless of the position measurement only. The stability of the closed-loop control system is proved by using the cascade theory and input-to-state stability theory. Both simulation and experiment results are conducted to illustrate the effectiveness of the proposed control method.

Encoderless Five-phase PMa-SynRM Drive System Based on Robust Torque-speed Estimator with Super-twisting Sliding Mode Control

“… The presence of a full-order indefinite input estimator necessitates two conditions to be verified [7], [13]- [14]. The relative condition is rank (ND)= rank (D)=Q that forces this (12) as follows:…”

“…Although, the proposed estimator has suppressed the indefinite system disturbance, its structure is very complex and has high computational time. In [12], an anti-disorder output feedback dynamic surface control approach has been introduced for tracking the interior PMSM position that was subjected to time-varying disturbances and indefinite nonlinearities. In addition, a nonlinear extended-stateestimator has been designed based on exponential functions for estimating the external disturbances and system uncertainties.…”

Model Predictive Control with ESO and an Improved Speed Loop for PMSM

“…Therefore, in PMSM control, load antiinterference performance must be considered. At present, there are methods for load observation, such as direct calculation method [12], model adaptation method [13], full-order and reduced-order Luenberger observers [14], and extended state observers [15]. The state observer can solve the issue of unobservable state variables, so it is a better choice to use state observer to observe load disturbances.…”