Adaptive Fuzzy Logic Control of Permanent Magnet Synchronous Machines With Nonlinear Friction

作者：Hicham Chaoui, Pierre Sicard · 发表于：IEEE Transactions on Industrial Electronics · 年份：2011 · DOI：10.1109/tie.2011.2148678 · 被引用次数：240 · 研究领域：Sensorless Control of Electric Motors、Electric Motor Design and Analysis、Magnetic Bearings and Levitation Dynamics

In this paper, an adaptive fuzzy control scheme is introduced for permanent magnet synchronous machines (PMSMs). The adaptive control strategy consists of a Lyapunov stability-based fuzzy speed controller that capitalizes on the machine's inverse model to achieve accurate tracking with unknown nonlinear system dynamics. As such, robustness to modeling and parametric uncertainties is achieved. Moreover, no explicit currents loop regulation is needed, which simplifies the control structure and unlike other control strategies, no a priori offline training, weights initialization, parameters knowledge, voltage, or current transducer is required. The system's convergence and stability are proved by Lyapunov stability theory, which yields an improved performance. Simulation results for different situations highlight the performance of the proposed controller in transient, steady-state, and standstill conditions. Furthermore, the adaptive fuzzy systems inherent parallelism makes them a good candidate for implementation in real-time PMSM drive systems.