A Proportional-Integral-Derivative (PID) controller make its appearance in various control mechanism due to its adaptively, applicability and simple structure. The tuning for parameters K P , K D and K I selection for PID is a tedious task. A Particle-Swarm-Optimization (PSO) algorithm is an evolutionary method that simulates the particles to provide best solutions in a given search-space based on fitness value. It provides another design of optimization for PID controller that provides better gain parameters, fast convergence and quick computation, in this paper, an efficient designed PSO based PID controller is then synthesized with the help of Xilinx SYSGEN. To evaluate the effectiveness and usefulness of PSO the DC motor based system response is figured and compared it with conventional method.
Arain, B. A., Shaikh, M. F., Harijan, B. L., Memon, T. D., & Kalwar, I. H. (2018). Design of PID controller based on PSO algorithm and its FPGA synthesization. International Journal of Engineering and Advanced Technology, 8(2), 201–206.