Diesel Engine Speed Control Research Articles

Research on Diesel Engine Speed Control Based on Improved Salp Algorithm

To better regulate the speed of diesel engines and optimize the speed overshoot and fast response, a speed control method combining the improved salp swarm algorithm (ISSA) with the proportional integral and differential (PID) controller was proposed. A real-time simulation model for a high-pressure common rail diesel engine was established. Addressing the challenges of the salp swarm algorithm (SSA), such as uneven population distribution and its tendency to become trapped in local optima, logistic-tent chaotic mapping, adaptive parameters was introduced, as well as adaptive dynamic inertia weights, elite strategy, and a dynamic inverse strategy. These enhancements bolstered the algorithm’s precision and efficiency in both global and local searches. Using the enhanced SSA, the parameters of the PID controller for the diesel engine model was optimized. The results indicated that the ISSA offers superior parameter identification precision, strengthening speed control stability. During sudden changes in speed and load, the overshoot decreased by an average of more than 30.3% and more than 8.6%, respectively. Moreover, the settling time decreased by an average of more than 0.76 s and 1.52 s, respectively, significantly enhancing the quality of diesel engine speed control.

Research on Diesel Engine Speed Control Based on BPNN Self-tuning PID Controller

As a more efficient power machine, diesel engine is widely used in industry, large vehicles, ships, power generation and other industries. Because of its high thermal efficiency, low fuel consumption, strong power and long service life, diesel engine will continue to occupy a leading position in its application field in the coming decades. Therefore, the speed control of diesel engine has always been a hot research topic. However, there are some disadvantages if only using PID controller for diesel engine speed control. This paper studies the structure of diesel engine speed control and the form of neural network. The combination of BPNN (Back Propagation Neural Network) and PID control makes it adjust the PID parameters in real time according to the speed error and achieve the tracking of actual speed and ideal speed. The realization of this method solves the problem of difficult PID parameters selection to a certain extent. And it has the characteristic of automatically adjusting parameters under variable working conditions. So that the engine can still maintain the desired speed under variable working conditions.

Disturbance Observer-Based Discrete Sliding-Mode Control for a Marine Diesel Engine with Variable Sampling Control Technique

This paper proposes a disturbance observer-based discrete sliding-mode control scheme with the variable sampling rate control for the marine diesel engine speed control in the presence of system uncertainties and disturbances. Initially, a sliding-mode controller based on the fast power reaching law is employed, which has a good dynamic quality of the arrival stage and can suppress chattering. To satisfy the practical requirements in the digital controller and the crank angle-based fuel injection in engine speed control, the proposed method is discretized under the variable sampling rate condition. A disturbance observer based on the second-order sliding-mode control is designed to compensate the system uncertainties and disturbances, by doing such the requirement of the parameters of the sliding-mode controller to be reduced significantly. In addition, a cylinder-by-cylinder mean value engine model (MVEM) is built by restructuring the combustion torque model, based on which numerical simulations are carried out by comparing the proposed method with PID and the extended state observer (ESO)-based sliding mode controllers. The common operation situations of the marine diesel engines are taken into account, including starting process, acceleration and deceleration, load variation, and varied propulsion system parameters. The results demonstrate that the proposed disturbance observer-based sliding-mode controller has prominent control performance and strong robustness.

ПОВЫШЕНИЕ НАДЕЖНОСТИ РАБОТЫ СИСТЕМЫ РЕГУЛИРОВАНИЯ ЧАСТОТЫ ВРАЩЕНИЯ СУДОВЫХ ДВИГАТЕЛЕЙ КАММИНГС

The analysis of using cooling devices possibility on the basis of two–phase thermal siphons in «Cummins» marine diesel engine speed control systems is carried out.

Study of Advanced Control Based on the RBF Neural Network Theory in Diesel Engine Speed Control

Study of Advanced Control Based on the RBF Neural Network Theory in Diesel Engine Speed Control

The Optimization of Marine Diesel Engine Rotational Speed Control Process by Fuzzy Logic Control Based on Particle Swarm Optimization Algorithm

The marine main diesel engine rotational speed automatic control plays a significant role in determining the optimal main diesel engine speed under impacting on navigation environment conditions. In this article, the application of fuzzy logic control theory for main diesel engine speed control has been associated with Particle Swarm Optimization (PSO). Firstly, the controller is designed according to fuzzy logic control theory. Secondly, the fuzzy logic controller will be optimized by Particle Swarm Optimization (PSO) in order to obtain the optimal adjustment of the membership functions only. Finally, the fuzzy logic controller has been completely innovated by Particle Swarm Optimization algorithm. The study results will be represented under digital simulation form, as well as comparison between traditional fuzzy logic controller with fuzzy logic control–particle swarm optimization speed controller being obtained.

Marine diesel engine speed control based on adaptive state-compensate extended state observer-backstepping method

The marine diesel engine propulsion system is a nonlinear system with time delay. In order to realize the accurate and real-time control of the marine diesel engine speed, a new method based on state-compensate extended state observer, backstepping method and beetle antennae search algorithm, that is, adaptive state-compensate extended state observer-backstepping, is proposed. First of all, the response relationship model between the engine speed and the fuel injection is established on the basis of the mean value model of diesel engine. Then, to deal with the load disturbances and model parameter perturbation of diesel engine, a state-compensate extended state observer is used to estimate lumped disturbances and states of the diesel engine, and a backstepping method combined with the state-compensate extended state observer, namely state-compensate extended state observer-backstepping, is used to control the marine diesel engine speed. Then, an adaptive state-compensate extended state observer-backstepping controller is proposed by introducing the beetle antennae search algorithm for online optimization of the control parameters. Finally, simulation experiments based on the model of the 12K98ME marine diesel engine are conducted to verify the effectiveness of the proposed controller under conditions of random disturbances, sudden dumping load and parameter perturbation. The experiment results show that the proposed adaptive state-compensate extended state observer-backstepping control method has a better control effect and stronger disturbance rejection ability in comparison of the standard linear active disturbance rejection control.

Speed control with incremental algorithm of minimum fuel consumption tracking for variable speed diesel generator

This paper presents a model of a diesel-combustion-engine-based variable speed generation unit driving a permanent magnet generator loaded by a power converter. Variable speed operation of the internal combustion engine facilitates fuel saving when the load profile changes, but it requires a power conditioning unit such as an electronic converter. Power converter operation is well known from wind energy conversion systems, in which variable speed operation increases their efficiency. The paper presents modeling and speed control of an exemplary diesel engine, and control of output voltage and current of the power electronics converter loading the generator. Special attention has been paid to elaboration of the methods of minimum specific fuel consumption points tracking for the given load. Incremental algorithms can find minimum specific fuel consumption in the case in which the details of fuel consumption curves are not exactly known. The incremental algorithm has been adopted from wind energy conversion systems and partly modified to avoid torque peaks during incremental step changes of reference speed. The concept has been validated in a simulation using data of a real model of an internal combustion engine through a three-dimensional approximation of fuel consumption characteristics.

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.

Parallel Control for Hybrid Propulsion of Multifunction Ships

Multifunction ships, naval vessels in particular, need to reduce fuel consumption while maintaining manoeuvrability. Hybrid propulsion that runs a main diesel engine and electric drive in parallel can achieve this. However, a parallel control strategy needs to be developed. In this paper, we use a simulation model of a hybrid propulsion system to investigate two parallel control strategies for diesel mechanical and electrical propulsion on multifunction ships. For the case study frigate, parallel control can increase the ship top speed with 3 kts when using two 4 MW electric drives and two 10 MW main diesel engines, compared with the same baseline hybrid propulsion without parallel control. The diesel engine speed control with electric drive torque control strategy increases ship acceleration rate with 17% and reduces average engine thermal loading with 150 K. Moreover, the electric drive speed control with diesel engine torque control strategy can improve acceleration rate by 40%, while eliminating thermal loading fluctuation due to heavy seas, and also reducing engine average thermal loading with 150 K. Future combination of the proposed electric drive speed control strategy with an adaptive pitch control and optimal power split strategy can potentially further increase hybrid propulsion plant performance.

Study on a Load Predictive Governor Control Method Based on Diesel Engine Models

This paper briefly reviewed the development process of diesel engine speed control, analyzed the control characteristics of high real-time. Also, the basic methods of conditions predictive control were put forward. Then, a load predictive governor control method based on diesel model was studied focusing on the model, simulation and experiments. The results show that this method has a significant effect to improve the engine speed control dynamic performance, and has a useful engineering application prospects.

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.

Study on the Speed Control of Diesel Engine Based on Neural Sliding Mode Control

A neural adaptive controller based on System Recognition and sliding mode control theory is proposed. Matlab/Simulink simulations show that the controller has a good performance in the speed control system of diesel engine.

Diesel engine speed control with handling of driveline resonances

A vehicular driveline transfer engine torque to the wheels. Resonances in the elastic parts of the driveline are important to handle when control of the engine and the transmission is optimized. Traditional diesel engine speed control maintains a well-damped engine speed set by the driver. However, the resonance modes of the driveline are easily excited by accelerator-position changes or by road disturbances. A speed-control strategy is proposed that includes the behavior of the driveline, and reduces driveline resonances and vehicle shuffle by engine control. Implementation shows significant reduction, also when facing nonlinear torque limitations from maximum torque and diesel smoke delimiters.

Diesel-Engine Speed Control with Handling of Driveline Resonances

A vehicular driveline transfer engine torque to the wheels. Resonances in the elastic parts of the driveline are important to handle when control of the engine and the transmission is optimized. Traditional diesel engine speed control maintains a well damped engine speed set by the driver. However, the resonance modes of the driveline are easily excited by accelerator-position changes or by road disturbances. A speed-control strategy is proposed that includes the behavior of the driveline, and reduces driveline resonances and vehicle shuffle by engine control. Implementation shows significant reduction, also when facing nonlinear torque limitations from maximum torque and diesel smoke delimiters.

Stability of Retarded Control

This paper is concerned with a theoretical study on the stability of control system with constant dead time. It is well known that the time lag gives a serious effect to the stability of the control system. Stability limit of control of first-order retarded controlled plant by the controller with proportional plus reset plus derivative control is given by G.H. Cohen and G.A. Coon. The author investigated the effect of dead time on the stability of control of second-order retarded system and of direct type governor used in the speed control of Diesel engine.