volume | PIER Journals

Abstract

To enhance the electromagnetic transient performance and torque dynamic response quality of permanent magnet synchronous motor vector control systems, this study proposes a novel adaptive sliding mode control strategy based on a state-dependent nonlinear approach law. This method first replaces the sign function in traditional sliding mode control with a sigmoid function, mechanistically achieving continuous construction of quasi-sliding mode dynamics and effectively eliminating high-frequency chattering in control signals. Building upon this foundation, the electromagnetic-mechanical state variables are dynamically incorporated into the approach law design to construct a state-dependent nonlinear approach law. This enables the controller to adaptively adjust based on the motor's operational state, thereby achieving dynamic optimization control of electromagnetic torque and speed without relying on precise models. Furthermore, a global fast terminal sliding surface is introduced to achieve rapid convergence of system states within finite time. For composite disturbances such as load transients, flux fluctuations, and unmodeled dynamics, a fuzzy logic-based gain adaptive mechanism for extended state observers is designed. This dynamically adjusts observer bandwidth to enable real-time, precise observation and feedforward compensation for total disturbances. Experimental results demonstrate that the proposed method exhibits significant advantages in improving torque dynamic response, enhancing steady-state accuracy, and strengthening system disturbance rejection capabilities, providing an effective solution for high-performance permanent magnet synchronous motor drive control.

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Dr. Dehai Chen

Dr. Dunlin Liang

Dr. Ruilong Liu

Dr. Xin Huang