Fuel-Efficient Model-Based Optimal MIMO Control for PCCI Engines

Drews, P.; Albin, Thivaharan; Heßeler, Frank-Josef; Peters, N.; Abel, Dirk

doi:10.3182/20110828-6-it-1002.01138

Cited by 14 publications

(5 citation statements)

References 9 publications

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“…First, some examples of studies on models intended for control applications are introduced here. There are several modeling methods, including physics-based models (white box models) (23)(24)(25)(26) and models based on system identification (black-box models) (27)(28)(29)(30)(31)(32)(33) .…”

Section: Combustion Control Of Advanced Enginesmentioning

confidence: 99%

“…The combustion phenomena in engines are complicated because of the many parameters involved. In addition, with the increase in the number of actuators in recent years, the degree of freedom of the control system also increases, and therefore machine learning methods are used to build models that include many parameters and their mutual interferences (27,28,32,33) ．Drews et al (27) constructed a combustion model using neural network (NN) for premixed-charge compression ignition (PCCI) combustion and designed a controller that optimizes the evaluation function comprising CA50 (i.e., crank angle when 50% of the fuel has burned), the indicated mean effective pressure (IMEP), and maximum cylinder pressure gradient. Janakiraman et al (28) proposed a NN based method and developed a black-box model to predict HCCI combustion behavior during transient operations.…”

Section: Combustion Control Of Advanced Enginesmentioning

confidence: 99%

See 1 more Smart Citation

Control Technologies for Advanced Engines and Powertrains: A Review

Yamasaki,

Kim

2024

IJAE

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Control technology for engines and/or powertrains is becoming increasingly important for achieving higher energy efficiency and lower CO2 emissions in the real world in terms of the carbon neutrality of automobiles. CO2 emissions can be reduced using advanced combustion technologies and/or powertrain systems including hybrid powertrains. Such advanced combustion technologies show low robustness to changes in operation conditions, and advanced powertrain systems are difficult to optimize for complicated systems and uncertainty in the real road driving. Therefore, control technology is essential for taking full advantage of such hardware capabilities. Furthermore, the effective use of various information that is currently available, such as that on traffic signals, maps, and other cars, could lead to further reductions in CO2 emissions and energy consumption. This review summarizes the research on control technology, especially for advanced combustion and powertrain systems, and discusses the role of powertrain control and its future prospects.

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Section: Combustion Control Of Advanced Enginesmentioning

confidence: 99%

Section: Combustion Control Of Advanced Enginesmentioning

confidence: 99%

Control Technologies for Advanced Engines and Powertrains: A Review

Yamasaki,

Kim

2024

IJAE

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“…Multivariable control of the CA50 and the IMEP with the start and the duration of a single injection as actuator values therefore became a well-researched topic. [13][14][15] For constant air-path conditions, such control structures completely define the injection parameters and therefore the engine operation conditions, such as the efficiency and emissions at a reference load. Implemented in an engine control unit, they are able to compensate for various disturbances such as temperature changes, aging effects or variations in fuel properties.…”

Section: Cylinder Pressure-based Feedback Controlmentioning

confidence: 99%

The potential of heat release rate and cylinder pressure feedback control for conventional and premixed charge compression ignition combustion

Hänggi

Moretto

Albin

et al. 2020

International Journal of Engine Research

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Cylinder pressure or heat release rate tracking algorithms for direct-injected compression ignition engines allow to account for various disturbances, such as changes in the fuel characteristics or the effects of engine wear. They are suited for flex-fuel engines and allow the use of multi-injection strategies; hence, they show potential for mobile applications. However, they are based on the assumption that the heat release rate or cylinder pressure correlates well with engine efficiency and emissions and therefore allows a clean and efficient engine operation. With the objective to evaluate the potential of such tracking algorithms, this assumption is investigated for conventional as well as for low-temperature combustion strategies with diesel as fuel of choice. Based on experimental data, exploratory data analysis methods are applied to evaluate how sensitive engine efficiency and emissions are to changes of the heat release rate or cylinder pressure. Furthermore, an extended tracking algorithm is proposed, which can be applied for premixed charge compression ignition combustion concepts.

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“…In-cylinder pressure feedback control finds application in classical spark-ignition engines 5,6 and compression ignition engines, 7,8 but also in advanced combustion concepts. [9][10][11][12] Control is an important topic for modern internal combustion engines and will even become more important as the systems are getting more complex in the future. [13][14][15] General information about engine control and modeling can be found in the literature.…”

Section: Introductionmentioning

confidence: 99%

Fast and robust adaptation of lookup tables in internal combustion engines: feedback and feedforward controllers designed independently

Zurbriggen

Ott

Onder

2015

Proceedings of the Institution of Mechanical Engineers, Part D:

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Adaptive feedforward control is a common approach for handling uncertainties and time-varying effects in automotive control applications. The adaptation of the feedforward controller, usually formed by a lookup table, is often combined with a linear feedback controller. The feedforward controller is used to overcome the nonlinearities that are due to variations of the operating point. The feedback controller is used to deal with fast disturbances. If the system behavior is changing, for example due to varying fuel qualities or aging effects, the feedforward controller has to be adapted. A common problem is the fact that the bandwidths of the feedback controller and the adaptation of the feedforward controller have to be separated, i.e. the adaptation of the feedforward controller has to be slower than the feedback controller. Otherwise, the coupling effects lead to an unexpected behavior of the control system, which may also lead to instability. This paper presents an analysis of this effect using a linear representation of the adaptation of the feedforward controller. Based on the results of this analysis, the paper presents a method to decouple the feedback controller and the adaptation of the feedforward controller, which allows a fast adaptation of the feedforward controller. Ideally, the adaptation is as fast as the feedback controller. The system is then able to adapt during operating point transients without the need to stay at some operating points for longer periods. The proposed method does not depend on the structure of the feedforward controller, nor does it depend on the method of the adaptation. Experiments on a natural gas-diesel dual-fuel engine are used to validate the proposed method.

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Fuel-Efficient Model-Based Optimal MIMO Control for PCCI Engines

Cited by 14 publications

References 9 publications

Control Technologies for Advanced Engines and Powertrains: A Review

Control Technologies for Advanced Engines and Powertrains: A Review

The potential of heat release rate and cylinder pressure feedback control for conventional and premixed charge compression ignition combustion

Fast and robust adaptation of lookup tables in internal combustion engines: feedback and feedforward controllers designed independently

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