Identification and Adaptive Neural Network ...

Marine diesel engine is of characteristics of non-linear and time-varied, so it is difficult to be controlled with traditional PID controller. An adaptive controller based on back-propagation (BP) neural network and Wiener neural network was put forwarded to tune PID parameters for marine diesel engine speed control system, where Wiener neural network structure is applied to identify diesel engine nonlinear dynamic system. The weights in the Wiener neural network are adjusted with backward-propagation methods. The adaptive controller was improved via introduce relative error in target evaluation function of the BP neural network, and obtain sensitivity function of diesel engine output with respect to its input using the WNN identifier. A simulated test on a diesel engine demonstrated that the adaptive controller improved control performance over the conventional PID control.