文章基本信息

标题：Genetic Algorithms Techniques Based Optimal PID Tuning For Speed Control of DC Motor
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作者：Santosh Kumar Suman ; Santosh Kumar Suman ; Vinod Kumar Giri 等
期刊名称：American Journal of Engineering and Technology Management
印刷版ISSN：2575-1948
电子版ISSN：2575-1441
出版年度：2016
卷号：1
期号：4
页码：59-64
DOI：10.11648/j.ajetm.20160104.12
语种：English
出版社：Science Publishing Group
摘要：Plan of this paper a investigation and implementation of controllers such as PID controller and G.A based PID for speed control of DC motor. Simulation results have established that the use of PID and GA-PID. A DC motor is significant for a good dynamic, reliable behavior of the DC motor, a great speed tracking with lowest overshoot, gives enhanced performance and high strength than those obtained by use of the other controller. The DC motor is broadly used in many applications like steel mills, electric trains, cranes and much more. In this dissertation a separately excited dc motor using MATLAB modeling has been outlined whose velocity might be examined utilizing the Proportional, Integral, Derivative (KP, KI, KD) addition of the PID controller. In this paper is to analyze the execution of Optimization techniques viz. The Genetic Algorithm (GA) for improve PID controllers parameters for speed control of DC motor and list their points of interest over the traditional tuning strategies. The output speed error and its derivative as feedback damping signals. In this we have create three objective function with help of the MATLAB coding m-file, but third objective function is a novel creation for system which gives the better result than conventional objective function.aim of this paper compared all conventional method to proposed genetic algorithm tuning techniques and finds optimum results such as peak time, overshoot and transient response.
关键词：DC motor; PID Controller; Genetic Algorithm (GA); IAE; MSE