DIGITAL REDESIGN OF UNDESIGN INTERVAL SYSTEMS BASED ONFREQUENCY-RESPONSE RESEMBLANCE VIA A HYBRID PARTICLE SWARMOPTIMIZER

摘要

In this paper, a hybrid optimizer incorporating particle swarm optimization (PSO) and an enhanced NM simplex search method is proposed to derive an optimal digital controller for uncertain interval systems based on frequency-response resemblance. By combining the uncertain plant and controller, extremal systems for the redesigned digital system and its continuous counterpart can be obtained as the basis for comparison. The design problem is then formulated as an optimization problem of an aggregated error function in terms of deviation on frequency response between the redesigned digital system and its continuous counterpart, and subsequently optimized by the proposed optimizer to obtain an optimal set of parameters for the digital controller.