Title :
State feedback effects in fuzzy logic control: a fuzzy modeling approach
Author :
Jang, J.-S. ; Chen, Yung-Yaw
Author_Institution :
Dept. of Electr. Eng. & Comput. Sci., California Univ., Berkeley, CA, USA
Abstract :
Fuzzy set theory and the fuzzy logic controller are reviewed. A fuzzy modeling algorithm that can construct a set of fuzzy linguistic rules to imitate the behavior of a state feedback and/or PID controller is presented. The outputs of both the fuzzy and the state feedback schemes are displayed as 3-D diagrams and the mean square error is minimized over the parameter β. Three properties of the proposed algorithm and its extensions to the n-variable case and to the PID controller are presented. An inverted pendulum system is used to compare the performance of the two control schemes. It is concluded that a fuzzy controller should be able to achieve a performance at least as good as that of a state feedback controller, if property designed
Keywords :
control system analysis; controllers; feedback; fuzzy logic; fuzzy set theory; three-term control; PID controller; fuzzy linguistic rules; fuzzy logic controller; fuzzy modeling; fuzzy set theory; inverted pendulum system; mean square error; state feedback; Aircraft navigation; Automatic control; Automobiles; Control systems; Fuzzy control; Fuzzy logic; Fuzzy sets; Mean square error methods; Set theory; State feedback;
Conference_Titel :
Systems, Man and Cybernetics, 1990. Conference Proceedings., IEEE International Conference on
Conference_Location :
Los Angeles, CA
Print_ISBN :
0-87942-597-0
DOI :
10.1109/ICSMC.1990.142142
