直流无刷电机智能控制系统研究 |
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引用本文:张文升,胡勤耕,王文丰,张欣,施怿文,陈浩.直流无刷电机智能控制系统研究[J].计算技术与自动化,2012,(3):69-75 |
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中文摘要:阐述直流无刷电机工作原理,分析直流无刷电机的数学模型;介绍模糊控制理论与神经网络控制理论,提出模糊自适应PID控制策略;在MATLAB环境下,分别使用反电动势建模法建立直流无刷电机控制系统的模型,并对各个模型进行仿真分析。然后利用BP神经网络控制策略,模糊自适应PID控制策略改进速度控制器中的常规PID算法,进行仿真,并将所得结果进行对比。从对比结果可以得出模糊自适应PID控制策略更适合直流无刷电机的控制。 |
中文关键词:直流无刷电机 模糊控制 BP神经网络 |
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The Research of Brushless DC Motor Intelligent Control System |
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Abstract:This paper expounds the work principle of Brushless DC motor, analyzes the mathematical model of brushless DC motor; introduces the fuzzy control theory and neural network control theory, fuzzy adaptive PID control strategy; used the back EMF modeling established by the method of direct current brushless motor control system model in the MATLAB environment, and analyzes the each model simulation. Then used the BP neural network control strategy, fuzzy adaptive PID control strategy to improve the speed controller of the conventional PID algorithm, simulation, and compared the results.From the comparison of the results, the fuzzy adaptive PID control strategy for brushless DC motor control. |
keywords:BLDC Fuzzy Control BP Neural Control |
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