A SIMULATION STUDY OF CONTROL FOR A SYNCHRONOUS DIESEL GENERATOR SYSTEM SUPPLYING A LARGE POWER LOAD USING ARTIFICIAL NEURAL NETWORKS

Abstract

This paper, presents the theoretical basis for controlling a diesel-synchronous generator system, a common power supply system on ships. Based on this, a simulation of the voltage and frequency control system for the synchronous generator is built using Matlab and Simulink. The simulation results show that the neural network controller meets the system requirements, automatically stabilizing the voltage and frequency of the synchronous generator when the load power changes significantly. The application of neural networks in control engineering offers natural noise filtering and better nonlinear control capabilities than conventional control. Furthermore, the content of this paper provides a foundation for students and trainees to further research neural networks in identification and and control techniques.