考虑铁损的永磁同步电动机模糊自适应约束控制

Adaptive Fuzzy Constraint Control for Permanent Magnet Synchronous Motor With Iron Loss

针对考虑铁损的永磁同步电动机位置伺服控制中的状态约束问题,本文提出了一种基于势垒Lyapunov函数的模糊自适应反步控制策略。首先,选取模糊逻辑系统处理电动机系统中的未知非线性函数项;然后,将势垒Lyapunov函数与反步法结合对状态变量幅值进行约束,保证电动机系统的转子角速度、定子电流等状态量被限制在给定的区间内;最终构建基于势垒Lyapunov函数的模糊自适应反步控制器。仿真结果表明所设计的控制器不仅实现了有效的位置跟踪,并且将控制量和状态量都限制在合理区间内,避免了因违反状态约束而引发的安全性问题。

Focusing on the problem of state constraints in position servo control for permanent magnet syn­chronous motors(PMSMs)with iron loss,this paper proposed an adaptive fuzzy backstepping control strategy based on barrier Lyapunov functions.Firstly,the unknown nonlinear functions of PMSM drive system were approximated by utilizing the fuzzy logic systems.Then,the barrier Lyapunov function(BLF)and backstep­ping technique were combined to constrain the amplitude of state variables,which guaranteed that the rotor angular velocity and stator current of the PMSM drive system were always in a given range.Finally,a barrier Lyapunov functions-based adaptive fuzzy backstepping controller was constructed.The simulation results show that the designed controller not only achieves the desired position tracking effect,but also limits the control variables and state variables to a reasonable interval,avoiding the security problems caused by viola­tion of the state constraints.