A comparative study of various intelligent controllers' performance for systems based on bat optimization algorithm

Abstract EN

The aim of this paper is to demonstrate the performance of two intelligent controllers; the proportional-integral-derivative (PID) controller, and the proportional-integral-derivative-acceleration (PIDA) controller, based on optimization algorithm for higher order systems.

In this work, bat control algorithm has been utilized to find and tune the optimal weight parameters of the controllers as simple andfast tuning technique to find the best unsaturated state and smooth control action for the systems based on the intelligent controllers.

The simulation results using (Matlab Package) show that both controllers with the bat control algorithm can give excellent performance but the performance of the PIDA controller is better than that of the PID controller in terms of reducing the rising time (Tr), peak time (Tp), settling time (Ts), maximum overshoot (Mp), and steady-state error (Ess).

Furthermore, the fitness evaluation value is The aim of this paper is to demonstrate the performance of two intelligent controllers; the proportional-integral-derivative (PID) controller, and the proportional-integral-derivative-acceleration (PIDA) controller, based on optimization algorithm for higher order systems.

In this work, bat control algorithm has been utilized to find and tune the optimal weight parameters of the controllers as simple andfast tuning technique to find the best unsaturated state and smooth control action for the systems based on the intelligent controllers.

The simulation results using (Matlab Package) show that both controllers with the bat control algorithm can give excellent performance but the performance of the PIDA controller is better than that of the PID controller in terms of reducing the rising time (Tr), peak time (Tp), settling time (Ts), maximum overshoot (Mp), and steady-state error (Ess).

Furthermore, the fitness evaluation value is reduced