Optimized PI-PD Control for Varying Time Delay Systems Based on Modified Smith Predictor

Abstract

Time delay is a challenging problem that is frequently encountered in many fields of engineering systems. In this paper, an optimal proportional integral minus proportional derivative (PI-PD) controller with a modified smith predictor (MSP) for varying time delay systems is proposed. The optimal value of the tuning parameter sets of the PI-PD controller for step reference tracking and disturbance rejection is obtained based on two swarm intelligence techniques named flower pollination algorithm (FPA) and heap-based optimization (HBO). Three-time delay processes are used for evaluation. To evaluate the performance of each control structure, a compromised cost function between minimizing the control effort and improving the time response of the system is used. The simulation results based on MATLAB show the PI-PD controller with MSP tuned by HBO exhibits better performance than other controller structures.

Optimization of Sliding Mode and Back-Stepping Controllers for AMB Systems Using Gorilla Troops Algorithm

“…This work can be extended by including different optimization algorithms to tune the design parameters of SMC and BSC such heap-based optimization [25]. Besides, alternative controller can be adopted for such as adaptive control [10] further improvement.…”

An Optimized PID Controller Using Enhanced Bat Algorithm in Drilling Processes

“…Nowadays, there is an increasing trend of using optimization in solving industrial problems and engineering research [17][18][19][20][21]. Taking advantage of recent optimization techniques, several tuning methods based on swam based optimization has been proposed for finding the best setting of numerous controllers [22,23]. In the context of finding the optimal tuning of the PID controller in drilling process, different swarm optimization techniques have been proposed such as Simulated Annealing (SA) [11], PSO [13], WOA [15] and Enhanced Flower Pollination (EFP) [16].…”