Abstract
In order to solve the strong coupling problem existing between the frequency converter-fan-pressure difference loop and the return air damper-CO2 content loop in the pneumatic membrane structure inflation system, this paper studies PID neural network decoupling control algorithm based on neural network theory and PID theory, establishes double-variable dual-output PID neural network decoupling control system model. The application results show that the PID neural network decoupling control algorithm is effective on decoupling of two loops of pneumatic membrane structure inflation system, gets better control effect, and improves the system real-time control.
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Liu, Qs., Xu, Xl., Chen, Yf. (2011). Study on PID Neural Network Decoupling Control of Pneumatic Membrane Structure Inflation System. In: Qi, L. (eds) Information and Automation. ISIA 2010. Communications in Computer and Information Science, vol 86. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-19853-3_104
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DOI: https://doi.org/10.1007/978-3-642-19853-3_104
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-642-19852-6
Online ISBN: 978-3-642-19853-3
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