Evolutional Based Optimization Analysis for Three-element Control System

Abstract

Simultaneous controller tunings for multiple loops are challenging because the best parameter settings for all loops have to be obtained in the concurrent analysis, whereby all parameters are affecting to each other’s and the output variables. This paper purposely presents the accomplishment of Proportional-Integral-Derivative (PID) controller tunings by applying multi-objective optimization algorithm to a multiple loop known as three-element loop for both its servo and regulatory control objectives. Secondly, the research highlights the determination of lower limit (LL) and upper limit (UL) bounds by using necessity criterion of Routh-Hurwitz stability analysis. This research starts with empirical model identification and controller settings via classical techniques and multi objective optimization approach. The Genetic Algorithm (GA) and Particle Swarm Optimization (PSO) were selected to search the most compatible optimized controller tunings in the simulation of steam boiler drum function and the optimization analysis were conducted by a developed Graphical User Interface (GUI). On the whole, various simulation analysis was relatively compared by respective performance indexes and curve responses. Overall results showed that the optimization analysis proposed the controller settings corresponds better performances, and in particular, GA has performed better than PSO even through both methods are capable to suggest the highly satisfactory performances