Model based approach to closed loop control of 1-D engine simulation models

Cieslar, Dariusz; Dickinson, Paul; Darlington, Alex; Glover, K.; Collings, Nick

doi:10.1016/j.conengprac.2014.01.021

Cited by 10 publications

(4 citation statements)

References 11 publications

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“…10–13 Continuous mass and energy flows are considered in the MVEMs, so accurate cylinder pressure and temperature cannot be obtained. 8,14–16 The MVEMs have a fast speed because of lot simplification, and they are suitable for the scenarios where real-time simulation is needed, 9 such as controller design, 17,18 hardware-in-loop, 19,20 and fault diagnosis. 21,22 The gas working medium in the cylinder and its subsystems is considered uniform in the zero-dimensional models.…”

Section: Introductionmentioning

confidence: 99%

Modeling and performance analysis of diesel engine considering the heating effect of blow-by on cylinder intake gas

Shen

et al. 2021

International Journal of Engine Research

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Recently, the stringent international regulations on ship energy efficiency and NOx emissions from ocean-going ships make energy conservation and emission reduction be the theme of the shipping industry. Due to its fuel economy and reliability, most large commercial vessels are propelled by a low-speed two-stroke marine diesel engine, which consumes most of the fuel in the ship. In the present work, a zero-dimensional model is developed, which considers the blow-by, exhaust gas bypass, gas exchange, turbocharger, and heat transfer. Meanwhile, the model is improved by considering the heating effect of the blow-by gas on the intake gas. The proposed model is applied to a MAN B&W low-speed two-stroke marine diesel engine and validated with the engine shop test data. The simulation results are in good agreement with the experimental results. The accuracy of the model is greatly improved after considering the heating effect of blow-by gas. The model accuracy of most parameters has been improved from within 5% to within 2%, by considering the heating effect of blow-by gas. Finally, the influence of blow-by area change on engine performance is analyzed with considering and without considering the heating effect of blow-by.

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Section: Introductionmentioning

confidence: 99%

Modeling and performance analysis of diesel engine considering the heating effect of blow-by on cylinder intake gas

Shen

et al. 2021

International Journal of Engine Research

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“…To save time and cost, a computer environment verification process is required at the early stage of control system design. The need for real-time numerical analysis is increasing because it can save time and money compared with traditional engine test procedures [1][2][3][4][5][6][7][8][9][10][11][12][13][14][15][16][17][18]. A hardware-in-the-loop (HiL) system simulates the engine test environment by combining engine components into hardware and plant models into a virtual engine system.…”

Section: Introductionmentioning

confidence: 99%

“…For the exchange of interfaces between the simulation subsystems, the input and output quantities were exchanged at specific time intervals. Simulations between the plant model and the hardware environment can interact through the function mock-up interface (FMI) standard of Simulink [16][17][18][19]. The FMI standard provides a means of developing a model-based system and is used to design functions driven by electronic devices inside the vehicle.…”

Section: Introductionmentioning

confidence: 99%

Diesel Mean Value Engine Modeling Based on Thermodynamic Cycle Simulation Using Artificial Neural Network

Park

2019

Energies

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This study aims to construct a reduced thermodynamic cycle model with high accuracy and high model execution speed based on artificial neural network training for real-time numerical analysis. This paper proposes a method of constructing a fast average-value model by combining a 1D plant model and exhaust gas recirculation (EGR) control logic. The combustion model of the detailed model uses a direct-injection diesel multi-pulse (DI-pulse) method similar to diesel combustion characteristics. The DI-pulse combustion method divides the volume of the cylinder into three zones, predicting combustion- and emission-related variables, and each combustion step comprises different correction variables. This detailed model is estimated to be within 5% of the reference engine test results. To reduce the analysis time while maintaining the accuracy of engine performance prediction, the cylinder volumetric efficiency and the exhaust gas temperature were predicted using an artificial neural network. Owing to the lack of input variables in the training of artificial neural networks, it was not possible to predict the 0.6–0.7 range for volumetric efficiency and the 1000–1200 K range for exhaust gas temperature. This is because the mean value model changes the fuel injection method from the common rail fuel injection mode to the single injection mode in the model reduction process and changes the in-cylinder combustion according to the injection timing of the fuel amount injected. In addition, the mean value model combined with EGR logic, i.e., the single-input single-output (SISO) coupled mean value model, verifies the accuracy and responsiveness of the EGR control logic model through a step-transient process. By comparing the engine performance results of the SISO coupled mean value model with those of the mean value model, it is observed that the SISO coupled mean value model achieves the desired target EGR rate within 10 s. The EGR rate is predicted to be similar to the response of volumetric efficiency. This process intuitively predicted the main performance parameters of the engine model through artificial neural networks.

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“…Evaluation of the transient response is becoming increasingly important as levels of downsizing increase if acceptable driveability is to be maintained. With many boosting systems using actively controlled actuators there has been an increased interest in MPC for demonstrating the potential closed loop system performance for simulation purposes (Cieslar et al (2014)). The benefits include the coordination of actuators and the ability to control within constraints without the need for a significant amount of tuning effort.…”

Section: Introductionmentioning

confidence: 99%

On-Engine Validation of Mean Value Models for IC Engine Air-Path Control and Evaluation

Dickinson

Cieslar

Glover

et al. 2014

IFAC Proceedings Volumes

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Model based approach to closed loop control of 1-D engine simulation models

Cited by 10 publications

References 11 publications

Modeling and performance analysis of diesel engine considering the heating effect of blow-by on cylinder intake gas

Modeling and performance analysis of diesel engine considering the heating effect of blow-by on cylinder intake gas

Diesel Mean Value Engine Modeling Based on Thermodynamic Cycle Simulation Using Artificial Neural Network

On-Engine Validation of Mean Value Models for IC Engine Air-Path Control and Evaluation

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