TL;DR
Experimental results demonstrate that the proposed method outperforms traditional PID, fuzzy PID, and sliding mode control approaches by achieving superior speed tracking, enhanced disturbance rejection, greater parameter robustness, reduced overshoot, faster settling time, and lower steady-state error.
To address the challenge of balancing vibration suppression and robustness in traditional integral non-singular terminal sliding mode control (I-NFTSMC) for permanent magnet synchronous motor (PMSM) speed regulation systems—where fixed gains often compromise these objectives—this paper proposes a fuzzy adaptive integra...
To mitigate the chattering and limited adaptability of conventional sliding mode observers (SMOs) in position sensorless control for permanent magnet synchronous motors (PMSMs) across a wide range of operating conditions, a control strategy based on an adaptive-gain super-twisting sliding mode observer (AST-SMO) combin...
To fulfill the dynamic and steady-state performance requirements of permanent magnet synchronous motors (PMSMs) in speed regulation, a practical prescribed-time fuzzy adaptive control approach is investigated. First, a novel continuously differentiable time-varying scaling function is constructed, which avoids the prob...
Permanent magnet synchronous motors (PMSMs) are widely used in AC drive systems, and their control performance depends strongly on accurate motor parameters. Conventional proportional-integral model reference adaptive system (PI-MRAS) observers use fixed adaptation gains, resulting in a trade-off between rapid converge...
This research paper compares a conventional proportional-integral (PI) controller with a fuzzy-based sliding mode controller (FSMC) for speed control of a brushless DC (BLDC) motor powered by a Landsman DC-DC converter for electric vehicle (EV) applications. MATLAB/Simulink is used to model and simulate the proposed sy...
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