Speed Control System Of Diesel Engine Research Articles

Research on Engine Speed Control System Based on Fuzzy Adaptive PID Controller

Traditional PID fails to meet the requirements in control precision and response speed while implementing a nonlinear control. Such problem can be easily solved by adaptive fuzzy PID, which indicates that the adaptive fuzzy PID will realize the precise control in engine speed control system, a typical nonlinear system. This paper first discusses the mathematical control model of diesel engine speed-control system and the characteristics of the traditional PID control. Then, the speed control principle of the adaptive fuzzy PID controller is analyzed. Besides, the membership function of fuzzy logical, the fuzzy logical variable and the fuzzy reasoning rules are determined. Next, the adaptive correction method is briefly introduced. Finally, the model of traditional PID and adaptive fuzzy PID controller are simulated and the same disturb is added into the control systems. The simulation results show that the adaptive fuzzy PID controller has better performance in dynamic response and robustness than that of traditional PID.

A Mathematical Model of Marine Diesel Engine Speed Control System

Diesel engine is inherently an unstable machine and requires a reliable control system to regulate its speed for safe and efficient operation. Also, the diesel engine may operate at fixed or variable speeds depending upon user’s needs and accordingly the speed control system should have essential features to fulfil these requirements. This paper proposes a mathematical model of a marine diesel engine speed control system with droop governing function. The mathematical model includes static and dynamic characteristics of the control loop components. Model of static characteristic of the rotating fly weights speed sensing element provides an insight into the speed droop features of the speed controller. Because of big size and large time delay, the turbo charged diesel engine is represented as a first order system or sometimes even simplified to a pure integrator with constant gain which is considered acceptable in control literature. The proposed model is mathematically less complex and quick to use for preliminary analysis of the diesel engine speed controller performance.

Research on the Speed of Diesel Engine Based on Improved BP Neural Network Controller

Marine diesel engine is of characteristics of non-linear and time-invariant, so it is difficult to be controlled with traditional PID controller. An adaptive controller based on back-propagation (BP) neural networks was put forwarded for marine diesel engine speed control system, where two neural networks are proposed to control the position loop and speed loop. The adaptive controller was improved was improved via introducing relative error in target evaluation function of the BP neural network, and obtain sensitivity function of diesel engine output with respect to its input using a differential equation. The controller has self-learning and adaptive capacity. It can also optimize the PID controller parameters online. The controller was experimentally evaluated on rack position actuator of marine diesel engine simulated based on a diesel hardware-in-loop system of dSPACE. Finally, tests on a diesel engine demonstrated that the controller can satisfy the transient and steady demands of speed regulation system.

Marine Diesel Engine Speed Control System Based on Fuzzy-PID

The traditional PID control effect is not ideal when the controlled object is nonlinear and contains variable parameters. In order to adapt marine diesel engines to variable working conditions, the fuzzy-PID control method was proposed to be used in the speed control system of marine diesel engine to realize online adjustment of PID parameters. The composition of marine diesel engine speed control system was introduced, and the design of fuzzy–PID controller was analyzed in detail. The fuzzy-PID diesel engine speed governor was simulated through MATLAB. The simulation results show that fuzzy-PID can improve the system dynamic performance, reduce system oscillation and improve the response speed. The results also show that the fuzzy-PID marine diesel engine speed governor has high anti-interference ability and strong robustness.