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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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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