基于Matlab无刷电动机模型参考自适应控制的研究与实现

本文在分析无刷电动机数学模型的基础上,建立了控制系统的仿真模型,提出了直流无刷电机调速系统模型参考自适应控制的新方法.在双闭环调速系统中,电流环采用电流滞环控制,转速环采用间接参考模型自适应控制,控制器参数估算采用最小二乘算法.仿真结果表明:这种新型的间接模型参考自适应控制方法响应快、无超调、鲁棒性强、抗干扰能力好,较传统PI控制具有更好的动、静态特性.

Study and Realization of Model Reference Adaptive Control for Brushless Motor Based on Matlab

According to the mathematical model of BLDCM, a novel model reference adaptive control method is proposed for controlling the speed servo system based on the dynamic model of BLDCM. In the double loop of speed servo system, the hysteresis current controller is implemented in the current loop, in the speed loop the indirect model reference adaptive control (IMRAC) scheme is applied, and the parameter estimation is based on the Recursive Least Square Estimates. Several test cases based on BLDCM are conducted to confirm the effectiveness of the proposed controller. The simulation results show the improved performance is superior to the traditional PI controller. It works well with high dynamic and static performance, because of its advantage in quick response and good robustness.