Model-based control of gasoline-controlled auto-ignition

Ritter, Daniel; Andert, Jakob; Abel, Dirk; Albin, Thivaharan

doi:10.1177/1468087417717399

Cited by 22 publications

(12 citation statements)

References 27 publications

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“…Due to their challenging controllability, LTC concepts drove the research community to develop advanced control strategies 24–27 and the use of an in-cylinder pressure sensor for a proper combustion analysis and feedback diagnostic is generally assumed to be a high potential solution. 28–30…”

Section: Introductionmentioning

confidence: 99%

Closed-loop control of a dual-fuel engine working with different combustion modes using in-cylinder pressure feedback

Guardiola

Plá

Bares

et al. 2019

International Journal of Engine Research

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This work presents a closed-loop combustion control concept using in-cylinder pressure as a feedback in a dual-fuel combustion engine. At low load, reactivity controlled compression ignition combustion was used while a diffusive dual-fuel combustion was performed at higher loads. The aim of the presented controller is to maintain the indicated mean effective pressure and the combustion phasing at a target value, and to keep the maximum pressure derivative under a limit to avoid engine damage in all the combustion modes by cyclically adapting the injection settings. Various tests were performed at steady-state conditions showing good abilities to fulfil the expected operating conditions but also to reject disturbances such as intake pressure or exhaust gas recirculation variations. Finally, the proposed control strategy was tested during a load transient resulting in a combustion switching-mode and the results exhibited the closed-loop potential for controlling such combustion concept.

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Section: Introductionmentioning

confidence: 99%

Closed-loop control of a dual-fuel engine working with different combustion modes using in-cylinder pressure feedback

Guardiola

Plá

Bares

et al. 2019

International Journal of Engine Research

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“…However, the measured data include some non gaussian outliers the model does not capture. Reaching late combustion in terms of CA50, GCAI enters a specific behaviour that has been intensively investigated [1,9,10]. Figure 5b shows a qualitative comparison between an open loop simulation of the presented model and another experimental GCAI setup.…”

Section: Simulation Resultsmentioning

confidence: 99%

Reduced Order Modeling for Multi-scale Control of Low Temperature Combustion Engines

Nuss

Ritter

Wick

et al. 2018

Notes on Numerical Fluid Mechanics and Multidisciplinary Design

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Internal combustion engines face tightening limits on pollutant and greenhouse gas emissions. Therefore, new solutions for clean combustion have to be found. Low Temperature Combustion is a promising technology in this regard, as it is able to reduce pollutant emissions while increasing the engine's efficiency. Recent research has shown that closed-loop control manages to stabilize the process. Nevertheless, sensitivity to varying boundary conditions and a narrow operating range remain unfavorable. To investigate new control concepts such as in-cycle feedback, computationally feasible cycle-resolved models become necessary. This work presents a low order model for Gasoline Controlled Auto Ignition (GCAI) that is continuous in time and computes the pressure trace over the entire combustion cycle. A comparison between simulation and measurement supports the suitability of the modeling approach. Furthermore, the model captures the characteristic transition of system dynamics in case GCAI during late combustion.

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“…Nevertheless, the controllability in transient operation remains challenging due to the strong dependence on boundary conditions and the coupling of consecutive cycles. A new approach to reduce the cyclic variability by active cycle decoupling has been shown by Wick et al 8 and Ritter et al 10 These approaches underline that very fast signal analysis, and low-latency is a key enabler for closed-loop control of sensitive combustion principles.…”

Section: Symposium For Combustion Control 2016mentioning

confidence: 99%