Title :
Neuron double-layer control
Author_Institution :
Nat. Key Lab. of Ind. Control Technol., Zhejiang Univ., Hangzhou, China
Abstract :
The neuron PID double-layer control system is set up and the double-layer control method is proposed for control system with uncertainties in this paper. In this control system, a conventional PID controller is used in the insider layer control loop, and the neuron model-free controller is used in the outsider layer control loop. As a result of utilizing the double layer control structure, the PID control parameters can be selected imprecisely and the control system dynamics can be improved efficiently. The application of the proposed control method to the liquid level control of a tower of the fluid catalytic cracking unit (FCCU) is described. The excellent performance obtained in practice shows that the new control method has powerful vitality in industrial control.
Keywords :
industrial control; level control; neurocontrollers; oil refining; three-term control; uncertain systems; control system dynamics; conventional PID controller; fluid catalytic cracking unit; industrial control; insider layer control loop; liquid level control; neuron PID double-layer control system; neuron model-free controller; outsider layer control loop; uncertainties; Control system synthesis; Control systems; Hebbian theory; Industrial control; Level control; Machine learning; Neurons; Poles and towers; Three-term control; Uncertainty;
Conference_Titel :
Machine Learning and Cybernetics, 2003 International Conference on
Print_ISBN :
0-7803-8131-9
DOI :
10.1109/ICMLC.2003.1264543