Adaptive fuzzy controller design based on robust stability linguistic criterion and MOPSO
Edson Bruno Marques Costa, Ginalber L. O. Serra · 2016
In this paper, an adaptive fuzzy controller design methodology based on robust stability linguistic criterion and multi-objective particle swarm optimization, for non-linear and time-variant systems, is proposed. The robust stability linguistic specifications (gain and phase margins) are extracted from the expert knowledge and represented mathematically using the fuzzy numbers theory. The controller parameters online tuning is realized by a formulated multi-objective particle swarm optimization adaptation mechanism with constraints, based on gain and phase margins linguistic specifications. Experimental results for adaptive fuzzy control of a thermal plant with time varying delay is presented to illustrate the efficiency and applicability of the proposed methodology.