This paper proposes an adaptive fuzzy finite-time dynamic surface control method for permanent magnet synchronous motors (PMSMs) with full-state constraints. By combining with the finite-time stability theory, the \(\log \)-type barrier Lyapunov function is constructed to constrain the angular speed, stator current and other state variables of PMSMs in the predefined compact sets. Then, the first-order filter is employed to solve the shortcoming of “complexity of differentiation” in backstepping approach and the fuzzy logic systems are used to approximate the nonlinear functions. Finally, it is demonstrated that the presented control approach realizes fast tracking effect and the boundedness of all signals. Comparison of simulation results is included to illustrate the superiority of the new design scheme.

提出了一种具有全状态约束的永磁同步电动机的自适应模糊有限时间动态表面控制方法。通过结合有限时间稳定性理论，构造了\（\ log \）型势垒Lyapunov函数，以在预定义的紧凑集中约束PMSM的角速度，定子电流和其他状态变量。然后，采用一阶滤波器来解决反演方法中“微分复杂度”的缺点，并使用模糊逻辑系统来近似非线性函数。最后，证明了所提出的控制方法实现了快速跟踪效果和所有信号的有界性。包括仿真结果的比较，以说明新设计方案的优越性。