This paper proposes a neuron-based adaptive PID algorithm for the gas collector's pressure control ofcoke oven. The parameters of PID controller can be adjusted by on-line learning. The numerical simulation resultswith Matlab/Simulink are shown the novel algorithm is effective. Compared with conventional PID, the proposedmethod is more robust. The neuron-based adaptive PID algorithm has been successfully applied to control the gascollector in coke oven. The algorithm can improve the disturbance rejection robust of the gas collector controlsystem, and obtain good control performance under the industrial environment.
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