Title :
Neuromorphic fuzzy variable structure controller
Author :
Swiniarski, Roman
Author_Institution :
Dept. of Math. Sci., San Diego State Univ., CA, USA
Abstract :
The application of a fuzzy logic control (FLC) approach to the design of variable structure systems (VSS) is presented. Rule-based controllers which utilize fuzzy set theory have the advantage of not needing a mathematical description of the plant. This feature of FLC is combined with such properties of sliding motion in VSSs as control independence and reduced computational burden. Simulation results demonstrate the performance of fuzzy VSSs with different degrees of uncertainty. The neural variable structure controller is considered for DC electrical motors
Keywords :
fuzzy logic; neural nets; variable structure systems; DC motors; fuzzy logic control; neural variable structure controller; neuromorphic controller; rule-based controllers; variable structure systems; Computational modeling; Control systems; Electric variables control; Fuzzy control; Fuzzy logic; Fuzzy set theory; Motion control; Neuromorphics; Uncertainty; Variable structure systems;
Conference_Titel :
Industrial Electronics Society, 1990. IECON '90., 16th Annual Conference of IEEE
Conference_Location :
Pacific Grove, CA
Print_ISBN :
0-87942-600-4
DOI :
10.1109/IECON.1990.149311
