Fractional Fuzzy PID Controller for Speed Control of DC Motor

Sushil Kumar Gupta, P. Varshney
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引用次数: 18

Abstract

In this paper, a novel technique for controlling the speed of DC motor is developed. It uses the conventional fuzzy control for controlling the Kp, Ki & Kd of an integer-order PID controller along with fractional-order integral and derivative parts. The parameters of the PID controller are first tuned using Ziegler Nichols. Then, using GA, optimized solutions for Kp, Ki & Kd and λ & μ (which are the fractional components of integral & derivative parts) are obtained. A Fuzzy Logic Controller (FLC) whose inputs are error & change in error is designed to obtained the crisp values of Kp, Ki & Kd. These values along with the results of GA, are combined to yield better performance. Simulation results are presented in MATLAB. These results are compared with the conventional PID & fractional-order PID simulation results and it is observed that the proposed technique gives better performance.
分式模糊PID控制器用于直流电机转速控制
本文提出了一种控制直流电动机转速的新方法。采用传统的模糊控制方法对整阶PID控制器的Kp、Ki、Kd以及分数阶积分和导数部分进行控制。PID控制器的参数首先用齐格勒尼科尔斯法进行整定。然后,利用遗传算法得到了Kp、Ki和Kd以及λ和μ(积分部分和导数部分的分数部分)的优化解。设计了一种以误差和误差变化为输入的模糊控制器(FLC),以获得Kp、Ki和Kd的清晰值。这些值与遗传算法的结果相结合,可以产生更好的性能。在MATLAB中给出了仿真结果。将仿真结果与传统PID和分数阶PID的仿真结果进行了比较,结果表明该方法具有更好的性能。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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