Fuzzy Logic Control Based PID Controller for Diesel Engine with Variable Sampling Rate Control Theory

Marine diesel engines are widely used in the domain of ship. Uncertain environment coupled with external disturbance affects the stability of the engine speed, hence, keeping engine speed steady is a crucial task. Fuzzy logic control based PID controller for diesel engine with variable sampling is proposed in this paper. The fuzzy logic employed in this study is different from previous works. The input parameter engine speed is divided into three parts and three PID controllers are used to adjust speed in each divided part. Couple of controllers are compared by simulations on Matlab/Simulink environment with a mean value engine model. The results demonstrate that the fuzzy logic controller with variable integral PID can retain the speed well both in speed tracking and load variation conditions. On the basis of the mentioned controller above, we propose a new controller where the coefficient k_p is variable and depends on the speed error (e). The simulations prove that the new controller has better adaptation in the condition of the load change.