Title :
Evolutionary robust fuzzy control for the rejection of sinusoidal disturbances with unknown frequency
Author :
Tang, Yu ; Vélez-Díaz, Daniel
Author_Institution :
DEPFI-UNAM, Nat. Univ. of Mexico, Mexico City, Mexico
Abstract :
This paper presents a fuzzy controller to reject sinusoidal disturbances in a dynamical system. First, the fuzzy rules used in the fuzzy control are automatically tuned by evolutionary programming. These fuzzy rules are then used to reject the disturbances in a dynamical system. The robust control technique is applied to compensate for the uncertainties arising from the unknown optimal weight matrix and reconstruction error by using a fuzzy logic system. Simulation results are presented to illustrate the performance of the proposed control
Keywords :
compensation; control system analysis; evolutionary computation; fuzzy control; optimal control; performance index; perturbation techniques; robust control; simulation; uncertain systems; automatic tuning; control performance; dynamical system; evolutionary algorithms; evolutionary robust fuzzy control; fuzzy logic system; fuzzy rules; reconstruction error; simulation; sinusoidal disturbance rejection; sinusoidal disturbances with unknown frequency; uncertainty compensation; unknown optimal weight matrix; Automatic control; Automatic programming; Control systems; Error correction; Fuzzy control; Fuzzy logic; Fuzzy systems; Genetic programming; Robust control; Uncertainty;
Conference_Titel :
IFSA World Congress and 20th NAFIPS International Conference, 2001. Joint 9th
Conference_Location :
Vancouver, BC
Print_ISBN :
0-7803-7078-3
DOI :
10.1109/NAFIPS.2001.944701