Design of Optimal PID Controller for Varied System Using Teaching-Learning-Based Optimization

This paper deals with the implementation of teaching-learning-based optimization (TLBO) for tuning controller parameters. The optimized parameters of a PID controller are then used to regulate the speed of a DC motor and to control the automatic voltage regulator (AVR) system. The TLBO searches for the optimal solution on the basis of effective class teaching performance. The efficacy of the optimized PID controller is evaluated while comparing the results of two benchmark problems with the conventional tuning approaches.