Differential Evolution based intelligent control for speed regulation of a PMDC motor

Author

Syed, Asim H. ; Abido, M.A.

Author_Institution

Electr. Eng. Dept., King Fahd Univ. of Pet. & Miner., Dhahran, Saudi Arabia

fYear

2013

fDate

25-28 June 2013

Firstpage

1451

Lastpage

1456

Abstract

Differential Evolution (DE) is an evolutionary algorithm (EA) known for its simplicity, robustness and performance. Compared to other EAs, DE has shown better performance according to recent research. In this paper a DE algorithm is designed for controller optimization of a PMDC motor speed regulation system. Presenting a comprehensive description of the plant, architecture is designed for automatic speed regulation. Then the DE algorithm is applied on the system to optimize the controller parameters. Performance of the optimal controller is studied with simulations and performance and robustness of the DE algorithm has been analyzed.

Keywords

DC motors; angular velocity control; evolutionary computation; intelligent control; machine control; optimal control; permanent magnet motors; DE algorithm; PMDC motor; automatic speed regulation; controller optimization; controller parameters; differential evolution based intelligent control; evolutionary algorithm; optimal controller; speed regulation system; Algorithm design and analysis; DC motors; Linear programming; Optimization; Robustness; Torque; Vectors;

fLanguage

English

Publisher

ieee

Conference_Titel

Control & Automation (MED), 2013 21st Mediterranean Conference on

Conference_Location

Chania

Print_ISBN

978-1-4799-0995-7

Type

conf

DOI

10.1109/MED.2013.6608912

Filename

6608912