Application of Single Neuron Adaptive PID Controller in Flow Control System
2014 ◽
Vol 602-605
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pp. 1052-1055
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Oxide concentration at reactor inlet is one of the most important factor effecting the quality of ethylene oxide concentration. A control method with adaptive PID of single neuron is propose using the parameter self-learning with adaptive PID controller of single neuron for the oxide flow control system. The simulation results show that this design scheme has a better dynamic performance than traditional PID scheme to verify the feasibility of this method.
2014 ◽
Vol 945-949
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pp. 2266-2271
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2021 ◽
Vol 1073
(1)
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pp. 012053
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2006 ◽
Vol 72
(714)
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pp. 394-401
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