Title :
A robust modal controller with fuzzy tuning for multi-mass electromechanical systems
Author :
Ha, Q.P. ; Negnevitsky, M.
Author_Institution :
Tasmania Univ., Hobart, Tas., Australia
Abstract :
This paper outlines the design procedure of a robust modal controller (RMC) for linear servo systems. It focuses on the application of simple fuzzy logic schemes for tuning the controller coefficients to improve robustness with respect to load and parameter variations. The proposed method is illustrated through the simulation of a two-mass position drive
Keywords :
control system synthesis; drives; fuzzy control; fuzzy logic; position control; robust control; servomechanisms; tuning; controller coefficient tuning; fuzzy logic schemes; fuzzy tuning; linear servo systems; load variations; multi-mass electromechanical systems; parameter variations; robust modal controller; two-mass position drive simulation; Control systems; Drives; Electromechanical systems; Fuzzy control; Fuzzy logic; Fuzzy systems; Robust control; Servomechanisms; Sliding mode control; Vectors;
Conference_Titel :
Intelligent Information Systems, 1995. ANZIIS-95. Proceedings of the Third Australian and New Zealand Conference on
Conference_Location :
Perth, WA
Print_ISBN :
0-86422-430-3
DOI :
10.1109/ANZIIS.1995.705743