Title :
Self-organizing fuzzy logic control for servo systems
Author :
Tarn, J.H. ; Hsu, F.Y.
Author_Institution :
Inst. of Aeronaut. & Astronaut., Nat. Cheng Kung Univ., Tainan, Taiwan
Abstract :
To enhance the performance of linear servo control systems, a gain-scheduling-type nonlinear control strategy is utilized. A fuzzy linguistic control structure is used as the infrastructure for organizing a panoply of local linear controllers. To reach high-performance goals, a learning scheme for automatically fine-tuning the fuzzy control rules is proposed. The method uses a computational approach to optimize prescribed performance evaluations. The training process utilizes simulation and/or experimental data and is guided by linguistic learning laws derived heuristically from the performance requirements
Keywords :
fuzzy control; learning (artificial intelligence); self-adjusting systems; fuzzy control rule fine-tuning; fuzzy linguistic control structure; gain-scheduling-type nonlinear control strategy; heuristically derived learning laws; learning scheme; linear servo control systems; local linear controllers; self-organizing fuzzy logic control; servo systems; Automatic control; Computational modeling; Control systems; Fuzzy control; Fuzzy logic; Nonlinear control systems; Optimization methods; Organizing; Servomechanisms; Servosystems;
Conference_Titel :
Systems, Man and Cybernetics, 1992., IEEE International Conference on
Conference_Location :
Chicago, IL
Print_ISBN :
0-7803-0720-8
DOI :
10.1109/ICSMC.1992.271608
