Fuzzy identification and control of a liquid level rig

Citation

Graham B & Newell RB (1988) Fuzzy identification and control of a liquid level rig. Fuzzy Sets and Systems, 26 (3), pp. 255-273. https://doi.org/10.1016/0165-0114%2888%2990122-4

Abstract
The most difficult problem in fuzzy control is the development of a control rule set that is both complete and correct. We describe a fuzzy adaptive controller that can learn a control algorithm on-line and adapt it to changing process conditions. The controller makes use of fuzzy identification techniques for learning and adaption. Its control algorithm is based not on an explicit control rule set, but on predictions obtained from a fuzzy model of the process. The learning properties of the controller are demonstrated by its application to the control of a laboratory liquid level rig. Experimental results are given, and a comparison is made with traditional PI/feedforward control techniques.

Keywords
Fuzzy control; Fuzzy identification; Adaptive control; Learning

Journal
Fuzzy Sets and Systems: Volume 26, Issue 3