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首页> 外文期刊>International Journal of Engineering Research and Applications >Comparative Analysis of Speed Control of DC Motor Using AI Technique
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Comparative Analysis of Speed Control of DC Motor Using AI Technique

机译:人工智能技术对直流电动机调速的比较分析

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摘要

This paper presents a comparative study of various controllers for the speed control of DC motor. The Proportional Integral Derivative (PID) controller is one of the most common types of feedback controllers used in dynamic systems. This controller has been widely used in many different areas such as aerospace, process control, manufacturing, robotics, automation etc. As PID controllers require exact mathematical modelling, the performance of the system is questionable if there is parameter variation. Further two more controllers are proposed namely; Fuzzy Logic Controller and FOPID Controller. The performances of the three controllers are compared. Simulation results are presented and analysed for all the controllers. It is observed that Fuzzy Logic based controller gives better response than PID and FOPID controller for the speed control of dc motor
机译:本文对直流电动机的速度控制各种控制器进行了比较研究。比例积分微分(PID)控制器是动态系统中使用的最常见类型的反馈控制器之一。该控制器已广泛用于许多不同领域,例如航空航天,过程控制,制造,机器人技术,自动化等。由于PID控制器需要精确的数学建模,因此如果存在参数变化,则系统的性能值得怀疑。提出了另外两个控制器:模糊逻辑控制器和FOPID控制器。比较了三个控制器的性能。给出并分析了所有控制器的仿真结果。可以看出,对于直流电动机的速度控制,基于模糊逻辑的控制器比PID和FOPID控制器具有更好的响应。

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