无刷直流电机自适应模糊控制的研究

无刷直流电机(BLDCM)的高性能控制研究始终是运动控制领域中的一个重要研究方向，模糊自适应方法的提出为BLDCM控制系统的设计带来了全新的思路。基于BLDCM数学模型，利用结合自适应策略的模糊控制方法，实现转动惯量变化情形下转速的快速跟踪控制，并通过李亚普诺夫函数证明了速度控制器的稳定性。基于模块化建模工具Matlab，simulink建立BLDCM控制系统模型，采用dSPACE实时仿真环境自动生成控制回路的实时代码，构建便捷高效的在线实时控制平台。仿真及实验结果证明：控制系统运行平稳，自适应模糊策略具有良好的静、动态特性。

STUDY ON THE ADAPTIVE FUZZY CONTROL FOR BRUSHLESS DC MOTOR

Due to its great potential value in applications and theory, artificial intelligence-based control strategies of brushless DC motor(BLDCM), especially fuzzy logic control methods, have been a focus in the literature. The main purpose of this paper is to develop a control algorithm that forces BLDCM to track speed trajectories with different motor moment of inertia. To achieve this, fuzzy control combined with adaptive scheme is developed for high-performance robust speed controller and the stability of the adaptive fuzzy controller is shown using Lyapunov methods. By using dSPACE tools, an implementation of the real-time control system model of BLDCM based on block-oriented programming tool Matlab/Simulink is proposed. The simulation and experimental results are illustrated to show very good static and dynamic performance with moment of inertia parameter variations.