Case Studies in Teaching Fuzzy and Advanced Control Strategies

The teaching of fuzzy and advanced control strategies at bachelor level is correlated with the usually heuristic means of fuzzy control, incorporating human skills, the drawback being in the lack of general-purpose development methods. A major problem, which follows from the study of advanced control strategies is the understanding of its background the basic development methods and some applications. The paper, organized in two parts, present control algorithms exemplified on four case studies in teaching Advanced Control Engineering courses: temperature control, level control in a one-tank system, speed control and position for an inverted pendulum. PI(D) control (based on ESOm and 2p-SO-m tuning criterions), Internal Model Control (IMC) Smith-predictor and Fuzzy control strategies are presented underlining the problem of bump transfer when switching between manual and automatic modes or between two controllers occurs. Also a Generalized Predictive Control (GPC) strategy is presented and combined with static linearization using the inverse static characteristics of the plant. The case studies presented here are assisted by laboratory experiments. The case studies concerning fuzzy controlled servo-systems, accompanied by digital simulation results and real-time experimental results, validate the presented methods.