Design and Noise Reduction for Fuzzy-Proportional-Integral-Derivative Logic Controller Using Kalman Filter

The controlling of diesel engine speed always is essential to keep stable and effective in engine operation process on ships. The diesel engine speed directly relates on the fuel oil consumption of marine diesel engine. The choice of optimal engine speed always refers to many researches in the field of ship energy efficiency management and diesel engine speed control theory. This paper will investigate the above issues through approaching the novelty method. The proposed method in this research is more effective than traditional control methods. First, the traditional PID controller of marine diesel engine speed is established. Secondly, this controller will be adopted the online tuning through fuzzy logic control theory by Kalman Filter method. After that, fuzzy logic controller and genetic algorithm are applied to tune the traditional PID (Proportional- Integral- Derivative) controller. The main purpose of this research will get the optimal diesel engine speed controller with better dynamic and static performance than the traditional control methods. The research results have been compared and verified with the equivalence fuzzy PID controller. The advantages of this proposed controller are useful and significant in the field of marine engineering in order to increase the stable and responded characteristics of marine diesel engine speed controller