Biological Algorithm based PID Tuning for Speed Control of DC Motor
Evolutionary & Immune algorithms come under the category of bio-inspired optimization techniques
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Biological immune system (BIS) and Biological Evolutionary system (BES) is a special type of control system that has shown strong robustness and self adaptability. In this work report artificial immune system algorithm and biological evolutionary system used to develop are immune controller and evolutionary controller. The idea of immune controller and evolutionary controller is adopted and derived from biological vertebrate immune and evolutionary system, mimicking and imitating of biological immune and evolutionary system which is better known as the artificial immune and evolutionary system...
Biological immune system (BIS) and Biological Evolutionary system (BES) is a special type of control system that has shown strong robustness and self adaptability. In this work report artificial immune system algorithm and biological evolutionary system used to develop are immune controller and evolutionary controller. The idea of immune controller and evolutionary controller is adopted and derived from biological vertebrate immune and evolutionary system, mimicking and imitating of biological immune and evolutionary system which is better known as the artificial immune and evolutionary system. Immune and Evolutionary are stochastic optimization techniques based on the principle of natural evolution. We describe the general functioning of EAs and BIS. The aim of this subject is to design a speed controller for a DC motor by selection of PID parameters using Evolutionary and Immune. These algorithms come under the category of bio-inspired optimization techniques. The model of a DCmotor is considered as a second order system for speed control. Here, there is a comparison between conventional tuning methods and optimization techniques of parameters for PID controller.
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