What question did this study set out to answer?

The aim is to develop a control strategy to enhance protection against overcurrent and disturbance rejection in PMSM drives.

May 14, 2026Open Access

Enhanced Adaptive Super-Twisting Current-Constrained Control of PMSM Based on Generalized Proportional-Integral Observer

Key Points

The aim is to develop a control strategy to enhance protection against overcurrent and disturbance rejection in PMSM drives.
Developed a gain-adaptive super-twisting sliding mode controller with current constraints.
Incorporated a generalized proportional-integral observer for real-time state estimation.
Tested the effectiveness of the control strategy on non-cascade PMSM drives.
Significant reduction in chattering and improved dynamic response was observed.
The proposed control strategy effectively enhanced overcurrent protection.
Feed-forward compensation reduced the impact of disturbances on the PMSM system.

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.

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