Title :
Fuzzy logic-based PID autotuner design using simulated annealing
Author :
Zhou, G. ; Birdwell, J.D.
Author_Institution :
Dept. of Electr. & Comput. Eng., Tennessee Univ., Knoxville, TN, USA
Abstract :
A method to automatically design a fuzzy logic autotuner (FLA) for PID regulators is described. The autotuner evaluates a fuzzy logic rule base obtained by application of simulated annealing (SA) optimization procedures to a set of chosen initial controllers for a system. Both autotuner and the SA procedures optimize an objective function defined by a set of system performance criteria. The autotuner is evaluated by tuning different initial controllers. A discussion of the merits and potential problems of using the design-by-example approach is included
Keywords :
control system CAD; fuzzy logic; intelligent control; simulated annealing; three-term control; tuning; design-by-example approach; fuzzy logic rule base; fuzzy logic-based PID autotuner; objective function; performance criteria; simulated annealing; Automatic control; Computational modeling; Design methodology; Fuzzy logic; Programmable control; Regulators; Simulated annealing; System performance; Three-term control; Tuning;
Conference_Titel :
Computer-Aided Control System Design, 1994. Proceedings., IEEE/IFAC Joint Symposium on
Conference_Location :
Tucson, AZ
Print_ISBN :
0-7803-1800-5
DOI :
10.1109/CACSD.1994.288947