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
