Optimized PID controller of a laboratory-scaled water distribution system via swarm intelligence techniques

Abstract

In this paper, an off-line optimized PID controller algorithm, utilizing swarm intelligence is developed, for a laboratory-scaled water distribution system. The swarm intelligence optimization techniques are simulated in MATLAB and Simulink Tools. The two techniques used are Particle Swarm Intelligence (PSO) and Grey Wolf Optimization (GWO). An efficient controller produces a better system, i.e. the attainment of optimized level of the reservoir tank of the system in meeting customers demand. Hence by implementing the optimization techniques, the performance of the PID-controller, is improved, by generating the optimal values of the PID parameters, thus improving the system’s performance. When the optimized parameters are applied to the system, output response of the system using PSO and GWO are compared and analyzed. From the results obtained, it can be observed that GWO produces better results than PSO, specifically in the reduction of the system performance’s overshoot.