Turbocharged Two-Stroke Diesel Engine of Large Vessels Modeling and Simulation

2012 ◽  
Vol 235 ◽  
pp. 233-238
Author(s):  
Zhe Tian ◽  
Xin Ping Yan ◽  
Ye Ping Xiong
Keyword(s):  
Diesel Engine ◽  
Engine Speed ◽  
Mean Value ◽  
Control Law ◽  
Model Design ◽  
Engine Model ◽  
Speed Controller ◽  
Volume Method ◽  
Method Model ◽  
Large Vessels

In this article, according to the work principle of turbocharged two-stroke diesel engine, the characteristic of volume method model is referenced to package the diesel engine and the packaged model is calculated. According to the Matlab/Simulink software platform, the model will be combined to form a full mean value engine model and join speed controller to control diesel engine speed. The variation of diesel engine’s various performance parameter and the dynamic characteristics based on the speed control law will be observed, which means reaching better purpose of using diesel engine. In the process of mean value engine model design, joining a scavenging coefficient and improving the excess air ratio will increase simulation precision. By means of the correlation analysis, the diesel engine models complying with the control requirements can be determined.

Study on Electro-Pneumatic Clutch for Automatic Mechanical Transmission

2011 ◽  
Vol 148-149 ◽  
pp. 1149-1153
Author(s):  
Wu Chao Zhang ◽  
Yong Zhai
Keyword(s):  
Diesel Engine ◽  
Field Experiment ◽  
Control Strategy ◽  
Engine Speed ◽  
Mechanical Transmission ◽  
Control Law ◽  
Clutch Engagement ◽  
Automotive Powertrain ◽  
System Requirements ◽  
Clutch Control

The clutch control is one of the cores and most difficult issues in the development of an AMT system. In this paper the pneumatic clutch engagement characteristic is analyzed. Thereto, a simulation model of an automotive powertrain comprises a diesel engine, drivetrain and wheels driving a vehicle through tire-road adhesion are built using Matlab/Simulink. In the simulation, a refined control law of constant engine speed in part process is proposed and tested. The engaging speed and displacement of the clutch vary with the accelerate paddle opening, engine speed, clutch driven plate speed and gears according the control law. Field experiment results show that the control strategy fulfills the system requirements.

Adaptive sliding mode observer for updating maps with an application to mass air flow sensors in diesel engines

2016 ◽  
Vol 39 (12) ◽  
pp. 1885-1897 ◽  
Author(s):  
Changhui Wang ◽  
Zhiyuan Liu
Keyword(s):  
Diesel Engine ◽  
Sliding Mode ◽  
Air Flow ◽  
Mean Value ◽  
Sliding Mode Observer ◽  
Model Errors ◽  
Sensor Error ◽  
Adaptive Sliding Mode ◽  
Engine Model ◽  
Estimation Precision

A novel method for mass air flow (MAF) sensor bias compensation and error map (or look-up table) adaptation with model error correction is proposed. A key feature of the approach is its method of handling and storing operating-point-dependent MAF sensor errors due to installation and ageing in diesel engines; such errors lead to adverse impacts on emission performance. The model of the MAF sensor error depending on the engine operating point is represented as a two-dimensional (2D) map, which is described as a piecewise bilinear interpolation model in the form of a vector–vector dot product. The mean-value engine model of a diesel engine with additional model biases is analysed and employed to improve the estimation precision of the 2D map. Based on the combination of the 2D map regression model and diesel engine mean-value engine model with additional model biases, a linear parameter varying adaptive sliding mode observer is designed, which achieves the disturbance suppression for the nonlinear model errors, as well as the simultaneous estimation of the system state, linear model errors and map parameters. The convergence of the proposed algorithm is proven under the conditions of the persistent excitation and given inequalities. The observer is validated against simulation data from the engine software enDYNA provided by TESIS. The results demonstrate that the estimation precision of the MAF sensor error map can be improved using the proposed method.

A Theoretical Control Strategy for a Diesel Engine

2005 ◽  
Vol 128 (2) ◽  
pp. 453-457 ◽  
Author(s):  
R. Outbib ◽  
X. Dovifaaz ◽  
A. Rachid ◽  
M. Ouladsine
Keyword(s):  
Diesel Engine ◽  
Engine Speed ◽  
Closed Loop ◽  
Lyapunov Theory ◽  
Loop System ◽  
Control Law ◽  
Closed Loop System ◽  
Nonlinear Method ◽  
New Approach ◽  
Fuel Rate

In this paper we present a theoretical strategy for diesel engine control. More precisely, we propose a new approach to control the speed of the engine using the fuel rate as the control law and we show how this approach can be used to control the opacity. We first establish a mathematical model that describes the behavior of the engine. Afterward, we propose a new nonlinear method to design a controller for a class of nonlinear systems. The proposed method, based on Lyapunov theory, is used to design a smooth feedback law that renders the closed-loop system asymptotically stable around a desired engine speed value. Finally, simulation results are proposed to highlight the performances of the closed-loop system.

scholarly journals Multiple Model Predictive Functional Control for Marine Diesel Engine

2018 ◽  
Vol 2018 ◽  
pp. 1-20 ◽  
Author(s):  
Runzhi Wang ◽  
Xuemin Li ◽  
Yufei Liu ◽  
Wenjie Fu ◽  
Shuang Liu ◽  
...  
Keyword(s):  
Diesel Engine ◽  
Mean Value ◽  
Open Loop ◽  
Marine Diesel Engine ◽  
Multiple Model ◽  
Pid Algorithm ◽  
Engine Model ◽  
Predictive Functional Control ◽  
Marine Diesel ◽  
Functional Control

A novel control scheme based on multiple model predictive functional control (MMPFC) is proposed to solve the cumbersome and time-consuming parameters tuning of the speed controller for a marine diesel engine. It combines the MMPFC with traditional PID algorithm. In each local linearization, a first-order plus time delay (FOPTD) model is adopted to be the approximate submodel. To overcome the model mismatches under the load disturbance conditions, we introduce a method to estimate the open-loop gain of the speed control model, by which the predictive multimodels are modified online. Thus, the adaptation and robustness of the proposed controller can be improved. A cycle-detailed hybrid nonlinear engine model rather than a common used mean value engine model (MVEM) is developed to evaluate the control performance. In such model, the marine engine is treated as a whole system, and the discreteness in torque generation, the working imbalance among different cylinders, and the cycle delays are considered. As a result, more reliable and practical validation can be achieved. Finally, numerical simulation of both steady and dynamic performances of the proposed controller is carried out based on the aforementioned engine model. A conventional well-tuned PID with integral windup scheme is adopted to make a comparison. The results emphasize that the proposed controller is with stable and adaptive ability but without needing complex and tough parameters regulation. Moreover, it has excellent disturbance rejection ability by modifying the predictive multimodels online.

Sign in / Sign up

Export Citation Format

Share Document