Application of SFS algorithm in control of DC motor and comparative analysis

The authors present an application of Stochastic Fractal Search (SFS) algorithm in control of DC motor. SFS algorithm uses the concept of Fractal. Here, integration of time multiplied absolute error (ITAE) has been taken as an objective function for tuning the parameters of PID controller by SFS algorithm. Comparison of proposed scheme (SFS/PID) with other existing techniques has also been shown. It has been observed that proposed SFS/PID approach with ITAE as an objective function gives no overshoot and other parameters such as; settling time and rise time are also comparable with other existing techniques. Also, the robustness analysis of proposed SFS/PID scheme has also been carried out with parameters' variation of DC motor along with the comparative analysis.