Title :
Genetic algorithm based optimal PI controller for position control of Maxon S-DC motor with dSPACE
Author :
Das, Sajal K. ; Mondol, N. ; Rana, M.S. ; Das, Pritam
Author_Institution :
Sch. of Eng. & Inf. Technol., Univ. of New South Wales @ADFA, Sydney, NSW, Australia
Abstract :
This paper presents the real time implementation of genetic algorithm (GA) based PI controller tuning for position control of DC motor. Here the initial value of proportional gain and integral gain of PI controller are selected from well recognized Ziegler Nichols tuning formula and then optimized by GA to achieve the best speed response. After observing the controller response in simulation, the overall control system is implemented on dSPACE DS1104 board to a real Maxon DC motor. The experimental results in testing the Maxon - 2332.968-51.236-200 15W 24V- DC motor show the effectiveness of the proposed control scheme. This paper will also give a clear idea that how to implement a controller with real time DSP system like dSPACE.
Keywords :
DC motors; PI control; control engineering computing; control system synthesis; genetic algorithms; machine control; optimal control; position control; power engineering computing; signal processing; GA; Maxon S-DC motor; Maxon-2332.968-51.236-200 DC motor; PI controller integral gain; PI controller proportional gain; Ziegler Nichols tuning formula; dSPACE; dSPACE DS1104 board; digital signal processing and control engineering; genetic algorithm based optimal PI controller tuning; position control; power 15 W; voltage 24 V; Biological cells; Gain; Integral equations; Sociology; Statistics; Testing; Dc motor; Genetic Algorithm; Position Control; dSPACE;
Conference_Titel :
Informatics, Electronics & Vision (ICIEV), 2012 International Conference on
Conference_Location :
Dhaka
Print_ISBN :
978-1-4673-1153-3
DOI :
10.1109/ICIEV.2012.6317348
