Open AccessDesign and Implementation of PID GA and Fuzzy logic Controllers for an Electrical Drive with Various Noise Disturbances
Author(s) -
G.Sundari,
J.Shanmugapriyan
Publication year - 2020
Publication title -
international journal of recent technology and engineering
Language(s) - English
Resource type - Journals
ISSN - 2277-3878
DOI - 10.35940/ijrte.c4488.099320
Subject(s) - pid controller , control theory (sociology) , noise (video) , transient (computer programming) , fuzzy logic , matlab , computer science , control engineering , steady state (chemistry) , controller (irrigation) , power (physics) , transient response , engineering , control (management) , temperature control , physics , artificial intelligence , agronomy , chemistry , electrical engineering , quantum mechanics , image (mathematics) , biology , operating system
It is a great challenge for human being to keep up the constant speed in drive when external Noise disturbances occur due to fluctuations of power supply. In order to avoid these issues, PID controllers are intended using predictable method such as Ziegler Nichols method. But finest level is not obtained in transient and steady state. During the MATLAB Simulation, the error is present transient and steady state behavior in conventional PID controllers. Hence it is necessary to design a PID controller with Novel intelligent technique for speed control of drive like fuzzy and Genetic Algorithm. It considers error as fitness function which is to be minimized using various GA operators such as mutation etc. The Drive will be operated with different external noises like sinusoidal noise, Saw tooth noise and Ramp noise and comparison between PID, GA and Fuzzy PID will be presented and their performances are studied.