A Feed-Forward Approach for the Real-Time Estimation and Control of MFB50 and SOI In Diesel Engines

Finesso, Roberto; Spessa, Ezio

doi:10.4271/2014-01-9046

Cited by 10 publications

(10 citation statements)

References 35 publications

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“…With Eqns. (20), (32), and (33), the control system can track CA50 with its reference value. A proof of the stability of this adaptive control system stability is given in the Appendix.…”

Section: Adaptive Control System Structurementioning

confidence: 99%

Cylinder-specific model-based control of combustion phasing for multiple-cylinder diesel engines operating with high dilution and boost levels

Sui

Hall

Kapadia

2018

International Journal of Engine Research

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Accurate control of combustion phasing is indispensable for diesel engines due to the strong impact of combustion timing on efficiency. In this work, a non-linear combustion phasing model is developed and integrated with a cylinder-specific model of intake gas. The combustion phasing model uses a knock integral model, a burn duration model and a Wiebe function to predict CA50 (the crank angle at which 50% of the mass of fuel has burned). Meanwhile, the intake gas property model predicts the EGR fraction and the incylinder pressure and temperature at intake valve closing (IVC) for different cylinders. As such, cylinder-to-cylinder variation of the pressure and temperature at intake valves closing is also considered in this model. This combined model is simplified for controller design and validated. Based on these models, two combustion phasing control strategies are explored. The first is an adaptive controller that is designed for closed-loop control and the second is a feedforward model-based control strategy for open-loop control. These two control approaches were tested in simulations for all six cylinders and the results demonstrate that the CA50 can reach steady state conditions within 10 cycles. In addition, the steady state errors are less than ±0.1 crank angle degree (CAD) with the adaptive control approach, and less than ±1.3 CAD with feedforward model-based control. The impact of errors on the control algorithms is also discussed in the paper.

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“…With Eqns. (20), (32), and (33), the control system can track CA50 with its reference value. A proof of the stability of this adaptive control system stability is given in the Appendix.…”

Section: Adaptive Control System Structurementioning

confidence: 99%

Cylinder-specific model-based control of combustion phasing for multiple-cylinder diesel engines operating with high dilution and boost levels

Sui

Hall

Kapadia

2018

International Journal of Engine Research

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“…Clearly a trade off between the accuracy of the model and the response time is required. Sophisticated control techniques of the combustion phase are also crucial for high thermal efficiencies and low emissions in diesel engines [18,19,20,21,22,23,24,25,26,27,28,29,30,31,32]. Model-based combustion control strategies allow to predict in advance key engine combustion parameters such as the MFB50 (i.e.…”

Section: Introductionmentioning

confidence: 99%

“…The MFB50 is a parameter commonly used to characterize combustion phasing and to control the efficiency of the combustion, the emission levels and noise, [31,24,7,33,34,35,36], while the IMEP correlates the injected chemical energy to the torque requirement.…”

Section: Introductionmentioning

confidence: 99%

“…it is possible to derive inverse functions that express the required targets (MFB50 and IMEP) as a function of the engine operation parameters [37,38,26,27,28,29,39]. In fact zero-dimensional models rely on a limited set of parameters calibrated for different engine applications thus combining good reliability, simplicity and a low computational effort and allow for a real-time response [16,25,31,30]. However efficient implementation techniques, capable of drastically reducing the computational cost of the simulations are still necessary to effectively implement model based control strategies in current technology engine ECUs.…”

Section: Introductionmentioning

confidence: 99%

“…In the present work we obtain an analytical solution of the approximated heat release rate, as described in red [26,31], which is then used for the prediction of the MFB50 combustion parameter. A lean implementation for the numerical resolution of the model for the prediction of the IMEP is also proposed.…”

Section: Introductionmentioning

confidence: 99%

See 2 more Smart Citations

Efficient combustion parameter prediction and performance optimization for a diesel engine with a low throughput combustion model

Benedetto

Berrone

Scialò

2015

Energy Conversion and Management

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In this work, an efficient implementation of a redzero-dimensional model is described for the estimation of key engine parameters for combustion control in compression-ignition engines. The direct problems of the estimation of the angle of 50% of fuel mass fraction burnt (MFB50) and of the mean effective pressure (IMEP) are addressed as well as the inverse problems of determining optimal start of injection (SOI) timing for target values of MFB50 and IMEP. The main focus is on the computational cost of the algorithms proposed, designed in order to keep the number of operations as low as possible without compromising the applicability of the methods to different engine configurations and operation points. red Execution time of the order of few milliseconds are achieved for parameters prediction and of the order of one tenth of a second for the optimization problems, such that an implementation in engine ECU for model-based control purposes can be envisaged.

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Fast estimation of combustion metrics in DI diesel engines for control-oriented applications

Finesso

Spessa

Yang

2016

Energy Conversion and Management

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A Feed-Forward Approach for the Real-Time Estimation and Control of MFB50 and SOI In Diesel Engines

Cited by 10 publications

References 35 publications

Cylinder-specific model-based control of combustion phasing for multiple-cylinder diesel engines operating with high dilution and boost levels

Cylinder-specific model-based control of combustion phasing for multiple-cylinder diesel engines operating with high dilution and boost levels

Efficient combustion parameter prediction and performance optimization for a diesel engine with a low throughput combustion model

Fast estimation of combustion metrics in DI diesel engines for control-oriented applications

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