Title :
A fuzzy controller with a fuzzy adaptive mechanism for the speed control of a PMSM
Author :
Net, J. L Silva ; Le-Huy, Hoang
Author_Institution :
Dept. of Electrotechnic, Fed. Univ. of Rio de Janeiro, Brazil
Abstract :
In this paper, the authors describe a novel fuzzy adaptation method to construct or change the rules in the fuzzy controller rule base table. The objective of the fuzzy logic adaptation mechanism (FLAM) is to change the rules definition in the FLC rule base table, according to the comparison between a reference model output signal and the system output. So, the learning algorithm defines the output linguistic values for each rule, based on a desired trajectory. They show the efficiency of this method in a TMS320C30 DSP-based speed fuzzy control of a permanent magnet synchronous motor (PMSM). The fuzzy logic adaptive strategy can be readily implemented. It has very fast learning features and very good tracking characteristics even under severe variations of the system parameters. At each sample instant, the FLAM will affect only the active rules
Keywords :
control system synthesis; fuzzy control; machine control; machine testing; machine theory; model reference adaptive control systems; permanent magnet motors; synchronous motors; velocity control; control design; control performance; fast learning features; fuzzy adaptive control; fuzzy logic adaptation mechanism; learning algorithm; permanent magnet synchronous motor; reference model output signal; rule base table; rules definition; speed control; tracking characteristics; Adaptive control; Control systems; Fuzzy control; Fuzzy logic; Fuzzy systems; Motion control; Nonlinear dynamical systems; Programmable control; Robust control; Velocity control;
Conference_Titel :
Industrial Electronics, Control and Instrumentation, 1997. IECON 97. 23rd International Conference on
Conference_Location :
New Orleans, LA
Print_ISBN :
0-7803-3932-0
DOI :
10.1109/IECON.1997.668411
