DocumentCode :
2344934
Title :
Analysis and design of adaptive internal model control for unstable process with dead time
Author :
Jin, Xiu-zhang ; Sun, Jian-ping ; Liu, Ji-zhen ; Zhang, Li-Feng
Author_Institution :
Fac. of Control Sci. & Eng., North China Electr. Power Univ., Baoding, China
Volume :
2
fYear :
2004
fDate :
26-29 Aug. 2004
Firstpage :
983
Abstract :
A scheme of adaptive IMC for unstable process with dead time is proposed in This work. A negative feedback element is used to make this object stable, and adaptive internal model control strategy is adopted to design a control system. Because of the shortage of the classical internal model control system the performance of the control system would slip back if there exist large errors between the real plant and the model, an adaptive mechanism based single neuron which can tune the parameters of the internal model and that of controller in the control system on line is designed. The simulation results show that the adaptive internal model control system designed in This work has good performance of overcoming disturbance and deviations of model parameters.
Keywords :
adaptive control; control system analysis; control system synthesis; process control; adaptive internal model control system; control system design; dead time; industrial process; negative feedback element; unstable process; Adaptive control; Control system synthesis; Control systems; Electrical equipment industry; Neurons; Power engineering and energy; Predictive models; Process control; Programmable control; Sun;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Machine Learning and Cybernetics, 2004. Proceedings of 2004 International Conference on
Print_ISBN :
0-7803-8403-2
Type :
conf
DOI :
10.1109/ICMLC.2004.1382330
Filename :
1382330
Link To Document :
بازگشت