Enhanced Adaptive Super-Twisting Current-Constrained Control of PMSM Based on Generalized Proportional-Integral Observer
Boqiang Wei*, Yiwei Feng
College of Automation and Electrical Engineering, Lanzhou University of Technology, Lanzhou, China
* Corresponding Author: Boqiang Wei. Email: 
Energy Engineering https://doi.org/10.32604/ee.2026.080617
Received 13 February 2026; Accepted 15 April 2026; Published online 12 May 2026
Abstract
This paper presents an advanced control strategy, termed enhanced adaptive super-twisting current-constrained algorithm (CCEASTA), to address overcurrent protection challenges and reject disturbances in non-cascade permanent magnet synchronous motors (PMSM) drives. The proposed strategy consists of two fundamental components. Firstly, a gain-adaptive super-twisting sliding mode controller with current constraints is designed in a non-cascade framework. The purpose of this structure is to suppress chattering, accelerate dynamic response, and ensure overcurrent protection. Secondly, a generalized proportional-integral observer (GPIO) is incorporated to estimate unknown state variables and external disturbances in real time. The estimates thus obtained facilitate feed-forward compensation, thereby significantly reducing the impact of disturbances on the system.
Keywords
Permanent magnet synchronous motor; current-constrained control; enhanced adaptive super-twisting algorithm; generalized proportional-integral observer
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