Genetic algorithm based optimal PI controller for position control of Maxon S-DC motor with dSPACE

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.