PIDNN FOR MARINE DIESEL MAIN ENGINE SPEED CONTROL

摘要

This work deals with Marine Diesel Main Engine speed controller which uses ANN to optimize PID controller parameters thus obtaining better transient characteristics and better control properties. To validate this claim, PID Neural Network (PIDNN) controller model was designed using Matlab/Simulink, and implemented in numerical model of the ship propulsion diesel engine [5]. PIDNN controller uses one of the most common ANN structures (multi-layer perceptron) and training algorithm (back-propagation), also briefly described in this work. The effectiveness of the PIDNN controller is shown through simulation and experiment.