Title :
Sliding mode control with fuzzy tuning
Author :
Ha, Q.P. ; Negnevitsky, M. ; Man, Z.
Author_Institution :
Dept. of Electr. & Electron. Eng., Tasmania Univ., Hobart, Tas., Australia
Abstract :
The paper presents a new technique for linearised systems with uncertainties using sliding mode control with fuzzy tuning. The control signal consists of three components: the equivalent control for assigning the sliding eigenvalues of the nominal closed-loop system, the robust control for driving the representative point to the sliding hyperplane in the reaching phase, and the fuzzy tuned control for accelerating the reaching time and reducing the influence of unstructured uncertainty. Chattering is also taken into account. The validity of the proposed approach is verified by the control of a two-mass servo system. Simulation results show that the controlled system is highly robust against parameter and load variations, and backlash nonlinearity
Keywords :
eigenvalues and eigenfunctions; fuzzy control; fuzzy systems; linear systems; robust control; servomechanisms; simulation; tuning; uncertainty handling; variable structure systems; backlash nonlinearity; chattering; control signal; equivalent control; fuzzy tuned control; fuzzy tuning; linearised systems; load variations; nominal closed-loop system; parameter variations; reaching phase; reaching time acceleration; representative point driving; robust control; simulation; sliding eigenvalue assignment; sliding hyperplane; sliding mode control; two-mass servo system control; uncertainties; unstructured uncertainty; Acceleration; Control system synthesis; Control systems; Eigenvalues and eigenfunctions; Fuzzy control; Fuzzy systems; Robust control; Servomechanisms; Sliding mode control; Uncertainty;
Conference_Titel :
Intelligent Information Systems, 1996., Australian and New Zealand Conference on
Conference_Location :
Adelaide, SA
Print_ISBN :
0-7803-3667-4
DOI :
10.1109/ANZIIS.1996.573939
