参数不确定条件下基于 I&I 的异步电机鲁棒控制新方法

针对不确定参数存在条件下异步电机( IM )难以精确进行动态控制的问题,提出了一种基于浸入与不变性( I&I )理论的鲁棒控制方法。在故障工况(转子绕组渐增及负载突变)导致异步电机电气参数存在不确定性的情况下,基于 IM 系统动力学和 I&I 基本原理,通过设计补偿器实现了电机的鲁棒控制,并基于 Lyapunov 直接稳定性方法证明了所设计控制器的渐近稳定性。最后,通过仿真和实验对所提控制方法的有效性和适用性进行了验证。结果表明,所提出的控制方法在参数不确定条件下鲁棒性良好,且在参考信号类型改变时, IM 输出信号仍能够准确、快速地跟踪参考信号。

A New Robust Control Method of Induction Motor Based on I&I under Parameter Uncertainties

A robust control method based on the theory of immersion and invariance( I&I ) is proposed to solve the problem that the dynamic control of induction motor is difficult to be accurately controlled in the presence of uncertain parameters.When the electrical parameters of induction motors are uncertain due to fault conditions( rotor winding increasing and load mutation ), the robust control of induction motor is realized by designing compensator based on IM system dynamics and I&I basic principles , and then the asymptotic stability of the controller is proved based on Lyapunov direct stability method.Finally , the effectiveness and applicability of the proposed control method are verified by simulation.The results show that the proposed control method has good robustness under parameter uncertainties , and the IM output signals can track the reference signals accurately and quickly even when the reference signal type changes.