Ant Colony Optimization - a tool for online tuning of a PI controller for a three phase induction motor drive

Author

Kour, Jaspreet ; Tiwari, Sunita

Author_Institution

Dept. of Instrum. & Control Eng., Dr. B. R. Ambedkar Nat. Inst. of Technol., Jalandhar, India

fYear

2013

fDate

16-18 Dec. 2013

Firstpage

1

Lastpage

5

Abstract

This paper proposes the design of a feedback controller for a voltage controlled Induction Motor (IM) drive by using the Ant Colony Optimization (ACO) technique. ACO is an evolutionary stochastic combinatorial computational discipline inspired by the behavior of ant colonies. A model of the induction motor drive is developed and its performance is evaluated while using a conventional PI controller. However it can well be seen that the system works satisfactorily for a particular operating point while its performance deteriorates for other operating points. This facilitates the need for online tuning. To accomplish this task a feedback controller is designed that uses ACO for online tuning. Comparison between two variants of ACO is also presented in this paper.

Keywords

PI control; ant colony optimisation; control system synthesis; feedback; induction motor drives; machine control; voltage control; ACO; IM drive; PI controller tuning; ant colony optimization; evolutionary stochastic combinatorial computational discipline; feedback controller design; online tuning; three phase induction motor drive; voltage controlled induction motor drive; Algorithm design and analysis; Ant colony optimization; Heuristic algorithms; Induction motor drives; Linear programming; Tuning; Ant Colony Optimization technique; Controller tuning; Induction motor;

fLanguage

English

Publisher

ieee

Conference_Titel

Control, Automation, Robotics and Embedded Systems (CARE), 2013 International Conference on

Conference_Location

Jabalpur

Type

conf

DOI

10.1109/CARE.2013.6733734

Filename

6733734