Predictive control method of improved double-controller scheme based on neural networks
Release Time:2019-03-11 Hits:
Indexed by: Journal Article
Date of Publication: 2006-01-01
Journal: 3rd International Symposium on Neural Networks (ISNN 2006)
Included Journals: CPCI-S、EI、SCIE
Volume: 3972
Page Number: 949-955
ISSN: 0302-9743
Abstract: This paper considers the problem of stabilizing a black-box plant with time delay using an improved double controller scheme. The PID parameters of the load controller of the double-controller scheme are obtained by a neural network controller with back propagation algorithm. Based on the adaptive algorithm of Universal Learning Network (ULN), ULN is adopted for modeling the plant and being a predictor of the control system. Simulation results prove the applicability and effectiveness of the improved double-controller scheme. ULN and the neural network controller give the double-controller scheme more representing abilities and robust ability.