自抗扰参数模糊自整定无刷直流电机控制研究

在电机控制当中,自抗扰控制器(ADRC)是提高系统鲁棒性的有效手段之一,但是其需整定的参数过多,不便于实际操作,本文结合模糊控制技术,对自抗扰控制器的参数进行自整定,不仅保持了ADRC原有的优良性能,而且提高了其自适应能力.同时结合无刷直流电机本身的特性,推导出了BLDCM作为被控对象的二阶状态方程,仅用一个参数模糊自整定的自抗扰控制器就实现了无刷直流电机的运行控制,保证了BLDCM控制系统结构的简单性.仿真表明,此控制系统对BLDCM的内部参数的摄动和外界扰动具有很强的自适应性和鲁棒性,并且结合实验验证了其可行性和有效性.

Brushless DC Motor Control Based on Fuzzy Self-tuning of Active-disturbance Rejection Parameters

In the permanent magnet brushless DC motor (BLDCM) control system, a new ADRC brushless DC motor control system was propsed in order to enhance the robustness and adaptability of the control system and to simplify the controller structure and the debugging process. In motor control, auto disturbance rejection controller (ADRC) is the effective means to improve the robustness of a system, but it has a lot of parameters to be adjusted, which is not good for practical application. This paper used fuzzy control technology to facilitate ADRC parameter self-tuning. This method not only maintains the original excellent performance of ADRC, but also improves the adaptive capacity. Combined with the characteristics of brushless DC motor itself, this paper deduced the second-order equation of BLDCM by using only one parameter fuzzy self-tuning ADRC to achieve a brushless DC motor operation control system. Simulation results have shown that this control system has strong adaptability and robustness in the condition of BLDCM internal parameter perturbation and external disturbances. Experiment results have also shown the feasibility and effectiveness of this system.