Dynamic Responce of DC Motor Via Fuzzy Logic and PID Controllers

A. Salama, M. Darwish, M. Shokry, M.A.Nasef
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Abstract

Fuzzy set Theory of Lotfi A. Zadeh (1965) [1] has been one of the most important area for researches due to its advanced applications in many fields which has the ability to deal with non-linearity and independence of plant modeling, especially in Electrical machines and its control techniques to reach optimum Dynamic response with load variations. In this paper control of direct current (DC) motor with conventional controls proportional–integral–derivative (PID) and fuzzy logic control (FLC) has been investigated and compared with each others for different operating conditions. The mathematical model of Dc motor was modeled and simulated in Matlab Simulink (Mathworks) with illustrated graphs and plots. The performance of the model is expected to show a great results for the fuzzy logic control (FLC) over the PID control [2].
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通过模糊逻辑和 PID 控制器实现直流电机的动态响应
Lotfi A. Zadeh(1965 年)的模糊集理论[1] 由于其在许多领域的先进应用而成为最重要的研究领域之一。Zadeh(1965 年)[1] 提出的模糊集理论已成为最重要的研究领域之一,因为它在许多领域都有先进的应用,能够处理非线性和独立的工厂建模,特别是在电机及其控制技术方面,以达到随负载变化的最佳动态响应。本文研究了直流(DC)电机的传统控制比例-积分-派生(PID)和模糊逻辑控制(FLC),并在不同运行条件下进行了比较。直流电机的数学模型是在 Matlab Simulink (Mathworks) 中建模和仿真的,并配有说明图和曲线图。预计模糊逻辑控制 (FLC) 比 PID 控制效果更好 [2]。
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