Title :
A non-model-based controller used in process control
Author_Institution :
Dept. of Mech. & Autom. Eng., Chinese Univ. of Hong Kong, Shatin, Hong Kong
Abstract :
A non-model-based controller (NMBC) used in process control is presented. It has three features: 1) it does not need any mathematical model; 2) the adjustable parameters of the NMBC have practical interpretation, so they can be determined easily using human experience; and 3) the contribution of NMBC to a controlled plant is separated into two parts-steady state contribution and transient contribution. Two methods are employed to tune the NMBC parameters. The experiment and simulation results show that NMBC is very effective especially when there are variations in the process dynamics
Keywords :
controllers; dynamics; fuzzy control; inference mechanisms; process control; self-adjusting systems; tuning; fuzzy reasoning; gradient descent algorithm; nonmodel-based controller; process control; process dynamics; self tuning; steady state contribution; transient contribution; Automatic control; Control systems; Control theory; Electrical equipment industry; Fuzzy reasoning; Industrial control; Mathematical model; Open loop systems; Process control; Three-term control;
Conference_Titel :
Decision and Control, 1997., Proceedings of the 36th IEEE Conference on
Conference_Location :
San Diego, CA
Print_ISBN :
0-7803-4187-2
DOI :
10.1109/CDC.1997.650744
