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首页> 外文期刊>Indian Journal of Science and Technology >Fuzzy-PID based control scheme for PMDC series motor speed control
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Fuzzy-PID based control scheme for PMDC series motor speed control

机译:基于模糊PID的PMDC系列电机速度控制方案

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Background/Objectives: PID controllers are widely used in different industrial appliations especially in achieving stable speed control of DC motors. Hower, due to their limitations, most often other methods like Sliding Mode controller, or fuzzy based controller are used. Since the Fuzzy controlers are more adaptive to non-linearity. This study is to analyse a fuzzy-based speed control scheme for tuning/adusting the performance of PID controller for the purpose of speed control of DC motor under the load condition. Methods/Statistical Analysis: Because of low precision and slow response in different control schemes, a performance comparison is shown between three different control approaches for the DC motor speed control. MATLAB’s Simulink platform is used to realize DC Motor and to implement the PID, Fuzzy and Fuzzy-based PID controllers to run the DC motor on the desired speed. Fuzzy controller is based on very few rule & performance is analyzed considering the load. Findings: The performance of three controllers is evaluated in terms of transient domain characteristics like Percentage overshoot, settling and rise times and percentage error under load (2000 rpm). The PID controller has the highest overshoot and hence a faster rise time while FLC has significantly reduced the overshoot, therefore causing rise time to increase. For the Fuzzy-PID controller the percentage overshoot has almost vanished. The rise time also decreased as compared to the FLC. The simulated controller’s responses confirm that Fuzzy-based PID controller has better performance comparing to independent PID and FLC controllers. Novel/Applications: In this work, the design of an intelligent Fuzzy-PID controller for the speed control of the DC motor with reduced complexity and a faster response using with minimum number of Fuzzy rules producing more optimized performance is presented. The design of a control strategy that has capability to control nonlinear behaviors and to stabilize the performance of linear systems specially to provide optimized performance for speed tracking system which is an important aspect in real time system design.
机译:背景/目标:PID控制器广泛用于不同的工业堆,特别是在实现DC电机的稳定速度控制方面。由于它们的局限性,多常使用滑模控制器等其他方法,或者使用模糊的控制器。由于模糊控制器更适应非线性。本研究是分析一种基于模糊的速度控制方案,用于调谐/促进PID控制器的性能,以便在负载条件下进行DC电机的速度控制。方法/统计分析:由于不同控制方案中的精度低,响应慢,在三种不同的控制方法之间显示了DC电动机速度控制的性能比较。 MATLAB的SIMULINK平台用于实现DC电机,并实现PID,模糊和基于模糊的PID控制器,以在所需的速度下运行DC电机。模糊控制器基于很少的规则和性能,考虑负载。调查结果:在瞬态域特征上评估三个控制器的性能,如百分比过冲,结算和上升时间和负载下的百分比误差(2000 rpm)。 PID控制器具有最高的过冲,因此更快的上升时间,而FLC显着降低过冲,因此导致增加时间增加。对于模糊PID控制器,过冲百分比几乎消失了。与FLC相比,上升时间也降低。模拟控制器的响应确认,基于模糊的PID控制器与独立PID和FLC控制器相比具有更好的性能。新颖/应用:在这项工作中,提出了一种智能模糊PID控制器的设计,用于减少复杂性的直流电动机的速度控制和使用最小的模糊规则的响应更快地产生更优化的性能。控制策略的设计具有控制非线性行为的能力和稳定线性系统的性能,特别是为速度跟踪系统提供优化的性能,这是实时系统设计中的一个重要方面。

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