Revolution Control of Generator Diesel Engine by Neural Network Controller

Three types of control system for an electric governor of a diesel engine developed for generators were examined experimentally. The quantity of fuel injection of a diesel engine for generators is usually controlled by an electric governor system in these decades, and a PID controller has been installed for the electric governor. Even when the optimal parameters for PID controller are well tuned, it is difficult to keep constant rotating speed of the engine, because the applied load to generators may vary according to its running conditions. In this research, a neural network was applied to regulate the parameters in PI controller for the axial-moving DC motor to control the quantity of fuel injection. Experimental studies showed that the parameter regulation system using neural network presented here had good performance under various running conditions. Further, the neural network control system without PID controller also showed good performance in controlling diesel engines for generators.