Title :
Process automation using adaptive fuzzy control
Author :
Hammerschmidt, Oliver ; Doersam, Thomas
Author_Institution :
Inst. for Microcomput. & Autom., Karlsruhe Univ., Germany
Abstract :
In process automation the control of plants with uncertainty or unknown parameters normally requires either a costly identification phase or an intensive fine-tuning of the controller. An easy adaptive fuzzy control is proposed which allows automatic controller tuning during operation with respect to desired closed loop behaviour. This adaptive control was added to the fuzzy kernel of an existing process automation system. Finally, experimental results of a three fingered robot gripper using this adaptive fuzzy control are presented
Keywords :
adaptive control; closed loop systems; controllers; fuzzy control; industrial manipulators; industrial plants; process control; tuning; uncertain systems; adaptive fuzzy control; automatic controller tuning; closed loop behaviour; fuzzy kernel; identification phase; plant control; process automation; three fingered robot gripper; uncertainty; unknown parameters; Adaptive control; Automatic control; Fuzzy control; Fuzzy systems; Grippers; Kernel; Process control; Programmable control; Robotics and automation; Uncertainty;
Conference_Titel :
Artificial Neural Networks and Expert Systems, 1995. Proceedings., Second New Zealand International Two-Stream Conference on
Conference_Location :
Dunedin
Print_ISBN :
0-8186-7174-2
DOI :
10.1109/ANNES.1995.499458
