A Review on Hybrid Controller Using Soft Computing Algorithms

Lokesh Kumar Agrawal^1, , Bhavesh Kumar Chauhan² and G. K. Benerjee¹

¹Department of Electrical Engineering, IFTM University, Moradabad(U.P.), India

²Department of Electrical Engineering, ABESIT, Ghaziabad (U.P.), India

Cite this paper

Lokesh Kumar Agrawal, Bhavesh Kumar Chauhan and G. K. Benerjee. A Review on Hybrid Controller Using Soft Computing Algorithms. American Journal of Electrical and Electronic Engineering. 2016; 4(2):49-61. doi: 10.12691/AJEEE-4-2-2

Abstract

Aadaptability and self-organization of a system is two key factors, when it comes to how well the system is surviving for the changes to the environment and how these work within the plant. Different tuning methods and soft computing techniques improve these two factors in controllers. Considering the increasing complexity of dynamic systems along with their need for feedback controls, using more complicated controls has become necessary and these techniques can be a suitable response to this necessity. This paper briefly describes a review on different techniques used for PID tuning as well as soft computing algorithm for hybrid controllers. This paper provides a comprehensive reference source for people working with hybrid controllers.

Keywords

PI Controller, PID Controller, FLC, Neuro-fuzzy system, Tuning, ANFIS

Copyright

This work is licensed under a Creative Commons Attribution 4.0 International License. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/

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