PID Controller Optimization By Soft Computing Techniques-A Review

Neha Tandan; Kuldeep Kumar Swarnkar

PID Controller Optimization By Soft Computing Techniques-A Review

원문정보

Neha Tandan, Kuldeep Kumar Swarnkar

보안공학연구지원센터(IJHIT) International Journal of Hybrid Information Technology Vol.8 No.7 2015.07 pp.357-362

초록

영어

PID controllers are widely used in industrial plants because it is simple and robust. So the control engineers are on look for tuning procedures. This paper gives the review of some soft computing techniques which are used for PID tuning. Soft computing techniques make easy of the tuning of parameters of controller to get desired response.

Abstract
1. Introduction
  A. Classical Techniques
  B. Optimization Techniques
2. Computational and Intelligent Optimization Techniques
  A. Genetic Algorithm
  B. Differential Evolution
  C. Evolutionary Programming
  D. Artificial Neural Networks
  E. Fuzzy Logic
  F. Particle Swarm Optimization
3. Conclusion
Acknowledgments
References

키워드

저자정보

Neha Tandan Electrical Engineering Department Madhav Institute of Technology & Science, Gwalior, India
Kuldeep Kumar Swarnkar Electrical Engineering Department Madhav Institute of Technology & Science, Gwalior, India

참고문헌

자료제공 : 네이버학술정보

※ 원문제공기관과의 협약기간이 종료되어 열람이 제한될 수 있습니다.

0개의 논문이 장바구니에 담겼습니다.

earticle