Title :
Achieving strongly stable adaptive control system using intelligent auto-tuning
Author :
Ratiroch-anant, Phornsuk ; Prijapanij, Vipan ; Ngamwiwit, Jongkol ; Anabuki, Masatoshi ; Hirata, Hiroshi
Author_Institution :
Fac. of Eng., King Mongkut´´s Inst. of Technol., Bangkok, Thailand
Abstract :
The practical design method of a strongly stable system for adaptive control is proposed. The stable pole of an optimal servo system is specified to the pole placement of a closed-loop in the adaptive control system and the stability index is introduced for the evaluation of the relative stability. The appropriate characteristics can be derived, by adjusting automatically the weight of a performance index in optimal control by means of the fuzzy inference on the basis of a stability index. Numerical simulation is used to prove that the proposed method provides sufficient performance regarding both tuning and control
Keywords :
adaptive control; control system analysis; control system synthesis; numerical analysis; optimal control; performance index; poles and zeros; stability; tuning; closed-loop; fuzzy inference; intelligent auto-tuning; numerical simulation; optimal servo system; performance index weight; pole placement; stability index; stable pole; strongly stable adaptive control system design; Adaptive control; Design methodology; Fuzzy control; Intelligent control; Intelligent systems; Optimal control; Performance analysis; Servomechanisms; Stability; State feedback;
Conference_Titel :
TENCON 99. Proceedings of the IEEE Region 10 Conference
Conference_Location :
Cheju Island
Print_ISBN :
0-7803-5739-6
DOI :
10.1109/TENCON.1999.818437
