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The study of film tension control system based on RBF neural network and PID
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作者 Jia Chunying Ding Zhigang Chen Yuchen 《International English Education Research》 2014年第8期82-85,共4页
In the BOPP (Biaxially Oriented Polypropylene) production line, the tension size and smooth film received change volume has a decisive effect on the rolling quality, casting machine is a complicated electromechanica... In the BOPP (Biaxially Oriented Polypropylene) production line, the tension size and smooth film received change volume has a decisive effect on the rolling quality, casting machine is a complicated electromechanical control system, tension control of casting machine are the main factors that influence the production quality. Analyzed the reason and the tension control mathematical model generation casting machine tension in the BOPP production line, for the constant tension control of casting machine, put forward a kind of improved PID control method based on RBF neural network. By the method of Jacobian information identification of RBF neural network, combined with the incremental PID algorithm to realize the self-tuning tension control parameters, control simulation and implementation of the model using Matlab software programming. The simulation results show that, the improved algorithm has better control effect than the general PID. 展开更多
关键词 Control PID algorithm jacobian information identification RBF neural network Matlab
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