An approach to optimize performance of controller in networked control system

The Network Control System, which includes three different nodes connected through a band-limited real-time digital network, was created as a result of industry evaluations modifying their specifications. An adequately stabilized controller is critical to maximizing the industry’s production rate. In this study, PID controller parameters Kp, Ki, and Kd (Gain coefficients of P (Proportional), I (Integral) and D (Derivative) controller) have been stabilized by using the Particle Swarm Optimization method followed by which performance indices have been calculated to observe the error rate on the calculated Kp, Ki, and Kd values. Compared with typical PID tuning approaches, particle swarm optimization tuning for controller parameters improves process properties such as time-domain requirement, supply interruptions, error reductions, and enhanced system reaction time. MATLAB/Simulink was used to run the simulations.