试析优化智能控制器在BLDCM控制系统中的研究现状

随着人工智能技术的不断发展,专家系统、模糊理论、人工神经元网络等智能控制的最新成果开始进入电机控制领域,给进一步提高无刷直流电机的控制性能提供了一条全新的途径。本文结合国内外无刷直流电机控制系统的研究现状,将现代计算机应用中最前沿的最优化与智能控制与传统的PID控制器结合在一起进行研究,针对有非线性复杂特性的控制对象或控制过程,传统控制理论中的PID控制器的难以实现满意的效果。研究利用最优化算法优化智能PID控制如:(fuzzy-PID、BP-PID、自适应PID控制、专家PID、基于遗传算法整定的PID控制器),完善智能控制方法在BLDCM控制系统中的应用。

Current Research Status of Intelligent Controller Optimization in BLDCM Controlling System

With the continuous development of artificial intelligence technology,the expert system,fuzzy theory,artificial neural network and many other latest intelligent control achievements start to enter the field of motor control,and they provide a brand-new way for the further improvement of the brushless direct current motor controlling.This paper combines the research status of the controlling system of both domestic and foreign brushless direct current motor,explores optimization,which is the most cutting-edge modern computer applications,the intelligent control and traditional PID controller in combination.It is difficult for traditional PID controller to achieve satisfactory results when aiming at the controlled objects or processes with complicated nonlinear features.The research makes use of the optimization algorithm to optimize intelligent PID control,such as fuzzy-PID,BP-PID,adaptive-PID control,expert-PID and PID controller based on genetic algorithm setting),to perfect the application of the intelligent control method in BLDCM controlling system.