Abstract
System with long time delay is difficult to control, and according to this fact an adaptive predictive controller based on PID neural network is proposed in this paper. This method identifies object model by PID neural network, and overcome the long time delay of the controlled value by recursive prediction. PID neural network based controller realizes the coordination control of overshoot and settling time of the system. A simulation of this control method is implemented on the electric furnace with large time delay, and the results show that the method has a faster system response, stronger adaptability and robustness.
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References
Wen-zhan, D., Hai-chuan, L., Ai-ping, Y.: An overview of neural network predictive control for nonlinear systems. Control Theory & Applications 5, 521–529 (2009)
Xu, Y., Xuyongmao: Single-neuron predictive control for time-variable large delay systems. Journal of Tsinghua University 5, 383–385 (2002)
Shu, H., Youguo: PID neural networks for time delay systems. Computers and Chemical Engineering 28, 859–862 (2000)
Wen, D.: Research on the RBF neural network based intelligent control for improving a control system with time delay. Industrial Instrumentation & Automation 2, 31–34 (2008)
Shu, H.: PID neural network for decoupleing control of strong coupling multivariable time-delay systems. Control Theory and Applications 15, 920–924 (1998)
Shen, Y., Gu, X.: Identification and Control in Nonlinear System Based on PID Neural Network. Journal of East China University of Science and Technology 32, 860–863 (2006)
Shu, H.: PID neural network and control system. National Defence Industry Press, Beijing (2006)
Dong, W., Liu, C., Song, H.: Human perceive system of simulative aircraft based on PIDNN. Journal of Beijing University of Aeronautics and Astronautics 34(2), 153–157 (2008)
Shen, Y., Gu, X.: Identification and Control in Nonlinear System Based on PID Neural Network. Journal of East China University of Science and Technology 32(7), 860–863 (2006)
Lu, C.-H., Tsai, C.-C.: Predictive Control Using Recurrent Neural Networks for Industrial Processes. Journal of the Chinese Institute of Engineers 32(2), 1–9 (2009)
Li, H.-J., Xiao, B.: Multistep recurrent neural network model predictive controller without constraints. Control Theory & Applications 29(5), 642–648 (2012)
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Zhi-gang, Y., Jun-lei, Q. (2013). PID Neural Network Adaptive Predictive Control for Long Time Delay System. In: Yang, Y., Ma, M., Liu, B. (eds) Information Computing and Applications. ICICA 2013. Communications in Computer and Information Science, vol 391. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-53932-9_28
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DOI: https://doi.org/10.1007/978-3-642-53932-9_28
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-642-53931-2
Online ISBN: 978-3-642-53932-9
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