考虑负载不确定的异步电机反馈线性化的最小损耗控制

研究异步电机负载变动时基于反馈线性化的最小损耗控制的实现问题。首先分析了异步电机的损耗特性,建立了受电机温度时变参数影响小的最小损耗磁链控制模型,揭示了通过转矩的实时估计对磁链进行控制可实现最小损耗控制。应用微分几何精确线性化的理论,建立了考虑负载转矩不确定性的异步电机反馈线性化模型,实现了转速和磁链的线性化解耦控制,电机转矩的实时估计依据参考模型在电动机反馈线性化控制中实现。异步电机的反馈线性化控制既提高了动态时的响应速度,又实现了稳态时的轻载高效率运行。合理选取控制参数,实现转速、磁链以及转矩估计的渐进收敛。仿真实验表明所提控制方法的可行性和有效性。

Developing loss minimization of induction motors based on feedback linearization control considering load uncertainties

The research is about the loss minimization for variable load torque of induction motors with feedback linearization control.Flux control model for minimal loss without affection by time-varying parameters was deduced.Loss minimization of the motors was achieved by adjusting the flux according the torque variety.Based on exact linearization of differential geometry theory,the model of feedback linearization control considering torque disturbance was presented.The speed and the flux can be decoupling con trolled in linearization.The motor torque was estimated online by reference model of the feedback linearization control.The feedback linearization control for induction motors increase dynamic response ability,as well as high efficiency operating at light loads.The speed,flux and estimated torque can realize asymptotic convergence with reasonable control parameters.The simulation and experiment results verify the feasibility and effectiveness of the proposed scheme.