Fuzzy identification and control of a liquid level rig (Q582252)

The proposed controller has the advantages of on-line control and adaptability to changing process conditions. The control algorithm is based on prediction obtained from a fuzzy process model. The controller has some learning properties which are demonstrated by its application to the control of a laboratory liquid level rig. Experimental results show that the suggested controller outperforms some convenient controllers. The authors mention some interesting problems which are to be the subject of further research.