Performance Enhancement of PID Tuning of DC Servomotor using Metaheuristic Algorithm

The use of DC servomotor in automated systems is common nowadays in various applications. Specifically, DC servomotors have played a vital role in the development of surface mount technology (SMT) placement machines that have the ability to quickly place components onto the printed circuit boards (PCBs). The design of controllers for DC servomotors has increasingly become an interesting area for researchers from all over the world. Although the Proportional-Integral-Derivative (PID) controller is regarded as the workhorse of the control industry and it is used for DC servomotor, one of its main short-comings is that there is no efficient tuning method. This paper discusses the development of an algorithm that improves the performance of PID tuning based on Metaheuristic Algorithm; particularly, the Inertia Weight Particle Swarm Optimization (iw-PSO) algorithm. The research findings show the effectiveness of the PSO algorithm compared with the conventional PID controller. Overall, the iw-PSO-PID successfully eliminated the overshoot and at the same time produced faster response. Furthermore, it was able to control the convergence by indicating smaller value of MSE.