Title :
Model-based fuzzy control of TORA system: fuzzy regulator and fuzzy observer design via LMIs that represent decay rate, disturbance rejection, robustness, optimality
Author :
Tanaka, Kazuo ; Taniguchi, Tadanari ; Wang, Hua O.
Author_Institution :
Kanazawa Univ., Japan
Abstract :
This paper presents a model-based fuzzy control of translational oscillations with a proof mass actuator (TORA) which is well known as a nonlinear control benchmark problem. The fuzzy regulator and fuzzy observer are designed by solving linear matrix inequalities (LMIs) that represent control performance such as the decay rate, disturbance rejection, robust stability, minimization of quadratic performance function and constraints on the control input and output. Simulation results show the utility of the model-based fuzzy control utilizing the LMIs
Keywords :
control system synthesis; fuzzy control; lifts; matrix algebra; nonlinear systems; observers; optimal control; oscillations; robust control; TORA system; decay rate; disturbance rejection; elevator; fuzzy control; fuzzy observer; linear matrix inequality; minimisation; model-based control; nonlinear control systems; optimal control; oscillation control; proof mass actuator; robust control; stability; Actuators; Automatic control; Control design; Control systems; Fuzzy control; Fuzzy systems; Observers; Regulators; Robust stability; Weight control;
Conference_Titel :
Fuzzy Systems Proceedings, 1998. IEEE World Congress on Computational Intelligence., The 1998 IEEE International Conference on
Conference_Location :
Anchorage, AK
Print_ISBN :
0-7803-4863-X
DOI :
10.1109/FUZZY.1998.687504
