Research On Adaptive Control Agorithms For Marine Diesel Engine Speed Regulation System

The main function of the full-scale digital electronic speed regulation system of marine main diesel engine is to adjust the fuel injection amount matching the changing load in time in various working conditions of the ship,so as to ensure the stable and efficient operation of the diesel engine at the approved speed.The PID control algorithm has the characteristics of easy engineering implementation and strong robustness,and is suitable for diesel engine speed regulation system.However,the three parameters of the traditional PID controller are off-line based on the empirical formula,and can not match the different speed regulation characteristics under the different working conditions,and the controller parameters are frequently disturbed in the main diesel engine load.Under the working conditions,it cannot be adjusted in time,and the adaptability needs to be improved.In order to solve the above problems,first of all,the speed regulation system must determine the speed regulation characteristics under the different working conditions,and then find out the most suitable parameters of the controller;secondly,for the uncertain disturbance factors under the working conditions,the controller parameters must be able to adjust online.Therefore,this paper proposes an adaptive control algorithm based on the optimized basic parameters,and does the following work:The common load change conditions of marine diesel engines are analyzed,and propose different optimal control requirements for different working conditions.A single closed-loop speed regulation system for marine main diesel engine is designed.For the identification of working conditions,it is necessary to read the requirements of a large number of ship operating state information,analyze the information sharing mechanism,and give the methods of signal transmission and reception;The search range of the solution is determined by off-line engineering tuning method,and then the optimal solution under different optimization targets are obtained by genetic algorithm as the basic parameters of the fuzzy PID controller.A two-dimensional fuzzy controller is designed.The basic parameters are modified according to the real-time status of the system,and the values of the integral and differential are modified to realize the real-time output of the controller parameters according to the working conditions.The genetic optimization of the adaptive control algorithm in this paper is off-line tuning,which does not occupy the control system resources.The basic parameters of the controller can be optimized according to the working conditions,and the basic parameters can be revised online.The simulation and experimental results show that the response speed and anti-interference ability of this algorithm are better than the comparison algorithm.