Title :
Use of fuzzy logic in adaptive "morphological" controllers
Author :
Xu, Min ; Smith, S.M.
Author_Institution :
Dept. of Ocean Eng., Florida Atlantic Univ., Boca Raton, FL, USA
Abstract :
In this paper, fuzzy logic-based adaptive morphological control (MC) is proposed. MC generalizes the idea of variable structure control (VSC). In the conventional approach to VSC, the control surface does not change the shape during a step response. A morphological type of VSC changes the shape of the control surface during each step response to increase system performance. This MC\´s "varying structure" property provides an extra degree of flexibility to combine different control goals such as robustness and minimum time control. A TSK type FLC with sliding mode controller (SMC) functions as the rule output function is developed, which is used as a controller in MC approach. Simulation results with a DC motor model are presented.
Keywords :
adaptive control; fuzzy logic; robust control; simulation; step response; DC motor model; adaptive morphological controllers; control surface; fuzzy logic; minimum time control; robustness; rule output function; simulation results; sliding mode controller; system performance; variable structure control; Adaptive control; Control systems; Fuzzy control; Fuzzy logic; Programmable control; Robust control; Shape control; Sliding mode control; Surface morphology; System performance;
Conference_Titel :
Fuzzy Information Processing Society Biannual Conference, 1994. Industrial Fuzzy Control and Intelligent Systems Conference, and the NASA Joint Technology Workshop on Neural Networks and Fuzzy Logic,
Print_ISBN :
0-7803-2125-1
DOI :
10.1109/IJCF.1994.375127
