Optimization of controller parameters for a DC attraction type levitation system by evolutionary technique

Author

Sarkar, Mrinal Kanti ; Banerjee, Sean ; Ghoshal, Sakti Prasad ; Saha, Tapan K.

Author_Institution

Dept. of Electr. Eng., NIT Durgapur, Durgapur, India

fYear

2014

fDate

Jan. 31 2014-Feb. 2 2014

Firstpage

61

Lastpage

65

Abstract

In this paper, evolutionary computation algorithms such as a novel Gravitational Search algorithm (GSA) and Real Coded Genetic Algorithm (RGA) are used to optimize the parameters of PID controller for a single actuator based DC attraction type levitation system (DCALS). A comparative study between performances of classical, GSA and RGA based nominal PID controller while operating at nominal and off-nominal (low and high) air-gaps has been carried out. It is seen that the GSA based optimized nominal PID controller produces best performances for the proposed DCALS with a wide variation of operating air-gaps.

Keywords

air gaps; electromagnetic actuators; genetic algorithms; magnetic levitation; search problems; three-term control; GSA; PID controller parameter optimization; RGA; actuator based DC attraction type levitation system; actuator based DCALS; evolutionary computation algorithms; gravitational search algorithm; nominal air-gaps; off-nominal air-gaps; real coded genetic algorithm; Air gaps; Biological cells; Force; Genetic algorithms; Levitation; Optimization; Actuator; DCALS; GSA; ITAE; PID; RGA;

fLanguage

English

Publisher

ieee

Conference_Titel

Control, Instrumentation, Energy and Communication (CIEC), 2014 International Conference on

Conference_Location

Calcutta

Type

conf

DOI

10.1109/CIEC.2014.6959050

Filename

6959050