Integral Discrete-time Sliding Mode Control of Homogeneous Charge Compression Ignition (HCCI) Engine Load and Combustion Timing

Norouzi, Armin; Ebrahimi, Khashayar; Koch, Charles Robert

doi:10.1016/j.ifacol.2019.09.025

Cited by 18 publications

(11 citation statements)

References 16 publications

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“…Internal Combustion Engines (ICEs) are widely used for small power applications, such as lawnmower and string trimmers, to large applications, such as power generation and commercial transportation, such as ships, locomotives, and heavy-duty trucks [1][2][3][4][5][6][7][8][9][10]. Due to widespread and broad application, ICEs contribute more than 20% of total GHG (greenhouse gas) emissions in the world [11].…”

Section: Introduction 1progress In Engine Controlmentioning

confidence: 99%

“…However, systematic optimization methods based on a model developed and identified using experimental results are ideal ways to tackle this problem. Several model-based controllers have been used in engine feedback control to address this, such as the Linear Quadratic Regulator (LQR) controller [17], Linear Quadratic Gaussian (LQG) controller [18], Sliding Model Controller (SMC) [5,19,20], Adaptive [20], and Model Predictive Control (MPC) controller [21,22]. Among these mode-based controllers, MPC is one of the most promising controllers that can deal with the highly constrained nonlinear system of ICEs.…”

Section: Introduction 1progress In Engine Controlmentioning

confidence: 99%

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Model Predictive Control of Internal Combustion Engines: A Review and Future Directions

et al. 2021

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An internal combustion engine (ICE) is a highly nonlinear dynamic and complex engineering system whose operation is constrained by operational limits, including emissions, noise, peak in-cylinder pressure, combustion stability, and actuator constraints. To optimize today’s ICEs, seven to ten control actuators and 10–20 feedback sensors are often used, depending on the engine applications and target emission regulations. This requires extensive engine experimentation to calibrate the engine control module (ECM), which is both cumbersome and costly. Despite these efforts, optimal operation, particularly during engine transients and to meet real driving emission (RDE) targets for broad engine speed and load conditions, has still not been obtained. Methods of model predictive control (MPC) have shown promising results for real-time multi-objective optimal control of constrained multi-variable nonlinear systems, including ICEs. This paper reviews the application of MPC for ICEs and analyzes the recent developments in MPC that can be utilized in ECMs. ICE control and calibration can be enhanced by taking advantage of the recent developments in the field of Artificial Intelligence (AI) in applying Machine Learning (ML) to large-scale engine data. Recent developments in the field of ML-MPC are investigated, and promising methods for ICE control applications are identified in this paper.

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Section: Introduction 1progress In Engine Controlmentioning

confidence: 99%

Section: Introduction 1progress In Engine Controlmentioning

confidence: 99%

Model Predictive Control of Internal Combustion Engines: A Review and Future Directions

et al. 2021

Self Cite

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“…29,30 In the literature, most papers regarding the design of discrete sliding mode control (DSMC) only consider the discrete-time chaotic systems. 31,32 However, the DSMC is difficult to establish for continuous-time systems when the hybrid control is considered. However, due to the better reliability and lower cost of digital devices, using digital microcontroller to implement the controllers for continuous systems has become an important trend.…”

Section: Introductionmentioning

confidence: 99%

Hybrid H-infinity synchronization for uncertain continuous chaotic systems based on digital redesign approach

Fang

Tsai

Yan

et al. 2021

Measurement and Control

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In this paper, the design of hybrid H-infinity synchronization control for continuous chaotic systems based on sliding mode control (SMC) is considered. H-infinity discrete sliding mode controllers integrated with the digital redesign approach are newly designed to achieve robust chaos synchronization. By the proposed design procedure, an H-infinity discrete-time SMC can be easily obtained to guarantee the robustness of synchronization even if the system is disturbed with unmatched perturbations. Besides, since the saturation function is adopted to eliminate the unexpected chattering phenomenon, this paper also discusses the effect of saturation function in multi-input multi-output (MIMO) SMC and the upper bounds of sliding mode trajectories are obtained which is not indicated in the literature. Finally, we perform the simulation to verify the effectiveness of the proposed controller.

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“…15–17 Various control interactions have been explored to reduce this cyclic coupling and extend the HCCI operating range but with varying success. 18,19…”

Section: Introductionmentioning

confidence: 99%

Homogeneous charge compression ignition combustion stability improvement using a rapid ignition system

Gordon

Wouters

Kinoshita

et al. 2020

International Journal of Engine Research

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When compared to traditional engines, homogeneous charge compression ignition has the potential to significantly reduce NO x raw emissions, while maintaining a high fuel efficiency. Homogeneous charge compression ignition is characterized by compression-induced autoignition of a lean homogeneous air–fuel mixture. Since homogeneous charge compression ignition does not utilize direct ignition control, it is strongly dependent on the state of the cylinder charge and can suffer from high cyclic variability. With spark-assisted compression ignition, it has been demonstrated that misfires can be reduced, while preserving the high thermal efficiency of homogeneous charge compression ignition as a result of the more favorable physical mixture properties due to dilution. However, spark-assisted compression ignition reduces the NO x benefits of homogeneous charge compression ignition, as it increases the local combustion temperatures. To merge the advantages of the homogeneous charge compression ignition and the spark-assisted compression ignition combustion processes, a field-programmable gate array for detailed simulation of the physical gas exchange is combined with a rapid spark system. The low latency and computational speed of the field-programmable gate array allows the simulation process to be implemented in real time. When combined with the rapid reaction time of the high-frequency current-based rapid ignition system, a feedforward controller based on the cylinder pressure or heat release is realized. The developed model-based controller determines if a spark is required to assist the homogeneous charge compression ignition combustion process. The use of the field-programmable gate array and rapid ignition system allows for the calculation of combustion properties and controller output within 0.1 °CA. This article presents the development and experimental validation of the developed controller on a single-cylinder research engine. The combustion stability has been significantly improved as reflected in an improved standard deviation of the indicated mean effective pressure and a reduction of the combustion phasing variations. Furthermore, compared to a traditional homogeneous charge compression ignition system, the hydrocarbon emissions can be reduced, while maintaining low NO x emissions.

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Integral Discrete-time Sliding Mode Control of Homogeneous Charge Compression Ignition (HCCI) Engine Load and Combustion Timing

Cited by 18 publications

References 16 publications

Model Predictive Control of Internal Combustion Engines: A Review and Future Directions

Model Predictive Control of Internal Combustion Engines: A Review and Future Directions

Hybrid H-infinity synchronization for uncertain continuous chaotic systems based on digital redesign approach

Homogeneous charge compression ignition combustion stability improvement using a rapid ignition system

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