Air handling control of a diesel engine with a complex dual-loop EGR and VGT air system using MPC

Borhan, Hoseinali; Kothandaraman, Govindarajan; Pattel, Bibin

doi:10.1109/acc.2015.7172039

Cited by 15 publications

(12 citation statements)

References 12 publications

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“…The three main MPC methods that have been implemented on ICEs are Linear, Economic, and Nonlinear MPC as shown in Table 1. Due to the limited computational capability of engine ECU, linear methods, such as Explicit MPC [30,[38][39][40]43,45,47,50], single MPC [24,28,36,37,40,49,108,142,145,151], switching MPC [27,29,33,46,53,147,149], and linear parameter varying (LPV) MPC [21,22,29,42,48,129,143,150], have been widely implemented in ICEs.…”

Section: Methods Of Mpc In Icesmentioning

confidence: 99%

“…This paper builds upon our prior experience for the design and implementation of model-based ICE controllers [2,4,5,7,21,22,46,. In this review paper, we searched for relevant papers in the field of MPC and ICE using the Scopus, Web of Science, IEEE Xplore, ScienceDirect, Springer, SAE, ASME, Wiley, Taylor & Francis, arXiv, and SAGE databases.…”

Section: Scope Of the Papermentioning

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: Methods Of Mpc In Icesmentioning

confidence: 99%

Section: Scope Of the Papermentioning

confidence: 99%

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

et al. 2021

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“…Diesel engines achieve relatively attractive fuel economy due to their higher compression ratio. 1 To further improve the engine's fuel economy while satisfying the progressively stricter emission legislation, more and more new technologies have been applied to the airpath of modern automotive diesel engines. 2 Among these technologies, exhaust gas recirculation (EGR) is very effective in suppressing the nitrogen oxides (NOx) emissions.…”

Section: Introductionmentioning

confidence: 99%

Intelligent transient calibration of a dual-loop EGR diesel engine using chaos-enhanced accelerated particle swarm optimization algorithm

Zhang

Zhou

et al. 2018

Proceedings of the Institution of Mechanical Engineers, Part D:

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This paper proposes an intelligent transient calibration method for the air-path controller of a light-duty diesel engine. This method is developed based on the chaos-enhanced accelerated particle swarm optimization (CAPSO) algorithm. The target is to reduce the engine's fuel consumption during transient scenarios by optimizing the controller parameters. The advanced dual-loop EGR system is firstly introduced. Then it formulates the transient calibration process as a multiple-objective optimization problem with constraints. Different from steady state calibration, the proposed method designs a new cost-function to evaluate the controller's transient performance. The intelligent transient calibration module is programmed in MATLAB code. Interface between the calibration module and a physical engine plant is established via ETAS INCA. The optimization result of the proposal method is discussed by comparing it with the result of existing calibration methods. The engine performance with the calibrated controller is evaluated based on engine tests.

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“…Due to the systematic approach to building an MPC controller, adding more inputs and outputs to the controller does not increase the complexity of the controller's design. 23 The MPC controller, however, is challenged when designing local controllers for systems with strong nonlinearities and sudden changes in the operating conditions.…”

Section: Introductionmentioning

confidence: 99%

Tuneable model predictive control of a turbocharged diesel engine with dual loop exhaust gas recirculation

Zhang

2017

Proceedings of the Institution of Mechanical Engineers, Part D:

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The air path of a turbocharged diesel engine is a multi-input multi-output (MIMO) system with strong nonlinearity, coupling effect, delay and actuator constraints. This makes the design and tuning of the controller complex. In this paper, a tuneable model predictive control (TMPC) controller for a diesel engine's air path with dual loop exhaust gas recirculation (DLEGR) is presented. The objective is to regulate the intake manifold pressure and exhaust gas recirculation (EGR) mass flow in each loop to meet the time-varying setpoints through coordinated control of the variable geometry turbocharger (VGT) and EGR valves. The TMPC controller adopts the design framework of an MPC controller. This controller is also able to provide a map-based switching scheme for the local controller and the controller's weightings. A comparison between the TMPC controller and a conventional PID controller is conducted on a validated real-time engine model. The simulation results show that the TMPC controller achieves lower overshoot, faster response and a shorter settling time on the manipulated objects. These improvements are beneficial for obtaining lower fuel consumption. In order to test the capability of the TMPC controller, it is validated on a hardware in the loop (HIL) platform. The results show that the agreement between the simulation and the actual ECU's response is good.

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Air handling control of a diesel engine with a complex dual-loop EGR and VGT air system using MPC

Cited by 15 publications

References 12 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

Intelligent transient calibration of a dual-loop EGR diesel engine using chaos-enhanced accelerated particle swarm optimization algorithm

Tuneable model predictive control of a turbocharged diesel engine with dual loop exhaust gas recirculation

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