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- W2258201901 abstract "With characteristics of non-linear and time-varied, so it is difficult for a marine Diesel Engine to be controlled with traditional PID controller. An adaptive controller based on back-propagation (BP) neural network and Wiener model identifier was put forwarded to tune PID parameters for marine diesel engine speed control system. In the controller, a Wiener neural network structure was applied to identify Wiener model of diesel engine nonlinear model. The weights in the Wiener neural network are adjusted with backward-propagation methods, and those weights stand for the parameters of the Wiener model. In order to satisfy the different work conditions, the adaptive controller is improved via introducing relative error in target evaluation function of the BP neural network. Moreover, with the sensitivity function of diesel engine output with respect to its input obtained by the WNN identifier, the convergence speed of optimizing PID parameters is improved. A simulated test on a diesel engine demonstrated that the adaptive controller improved control performance over the traditional PID control." @default.
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- W2258201901 date "2012-11-01" @default.
- W2258201901 modified "2023-09-23" @default.
- W2258201901 title "Identification and Adaptive Neural Network Control of the Speed of Marine Diesel Engine" @default.
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