DocumentCode :
2709230
Title :
Stable fuzzy state space controllers for an AGV
Author :
Kodagoda, K.R.S. ; Wijesoma, W.S. ; Teoh, E.K.
Author_Institution :
Sch. of Electr. & Electron. Eng., Nanyang Technol. Univ., Singapore
Volume :
2
fYear :
2000
fDate :
2000
Firstpage :
672
Abstract :
The primary focus of this paper is on the development of an intelligent control scheme which is insensitive to parametric uncertainty and load and parameter fluctuations, and, most importantly, is amenable to real-time implementation. We present a stable, uncoupled, direct fuzzy PD/PI control scheme for an outdoor automatic guided vehicle (AGV), which is a converted electrically powered golf-car. The controller performance was assessed both through simulations and experimental results. It was established that the fuzzy logic controller (FLC) yielded good performance even under uncertain and variable parameters in the model, unlike the computed torque technique (CTT) or conventional PID control. In terms of real-time implementation, the availability of custom fuzzy chips and the reduced computational complexity of the fuzzy controller, as against that of the CTT, makes the fuzzy controller an ideal choice between the two schemes
Keywords :
automatic guided vehicles; computational complexity; controllers; fluctuations; fuzzy control; intelligent control; performance evaluation; real-time systems; stability; state-space methods; two-term control; automatic guided vehicle; computational complexity; computed torque technique; controller performance; converted electrically powered golf-car; custom fuzzy chips; fuzzy logic controller; intelligent control scheme; load fluctuations; outdoor AGV; parameter fluctuations; parametric uncertainty; real-time implementation; simulations; stable fuzzy state-space controllers; stable uncoupled direct fuzzy PD/PI control scheme; uncertain model parameters; variable parameters; Automatic control; Electric variables control; Fluctuations; Fuzzy control; Intelligent control; PD control; Pi control; State-space methods; Torque control; Uncertainty;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Neural Networks for Signal Processing X, 2000. Proceedings of the 2000 IEEE Signal Processing Society Workshop
Conference_Location :
Sydney, NSW
ISSN :
1089-3555
Print_ISBN :
0-7803-6278-0
Type :
conf
DOI :
10.1109/NNSP.2000.890146
Filename :
890146
Link To Document :
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