Model Predictive Control of Exhaust Gas Recirculation Valve

Rajaei, Nazila; Han, Xiaoye; Chen, Xiang; Zheng, Ming

doi:10.4271/2010-01-0240

Cited by 6 publications

(4 citation statements)

References 18 publications

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“…MPCs for engine control 2-3 States u=1-2; AFR and EGR tracking in a turbocharged diesel engine [34,47] u = 2; idle speed control of 8 cylinder SI engine [43] u = 2-3; Diesel emission regulation, air path control, fuel path control [30,44,45,48] u = 3; Intake manifold pressure and EGR tracking in a turbocharged diesel engine [26,32] u = 4; Supervisory control for a diesel engine air path for multimode operation [53] 4-6 States u = 2-3; Supervisory control for emission and airpath control of a diesel engine [26,52] u = 2-3; diesel airpath control of a diesel engine with EGR while minimizing emission [29,41,50,137,142] u = 2-3; IMEP, CA50 tracking and constraining MPRR in an RCCI enigne [21,27,37,40,129,130] u = 3; SI engine IMEP control, while minimizing fuel consumption and constraining COV I MEP , and knock [54] u = 4; SI engine torque tracking while minimizing specific fuel consumption [33] u = 4; Control of diesel engine load, combustion phasing, while considering emissions trade-off [28] u = 4; HCCI combustion phasing control [39] seven to nine States u = 2; diesel air path control [49] u = 2; SI engine torque and air fuel ratio control [42] u = 2; Maximize diesel engine waste heat recovery [147] u = 4; Diesel engine control for power generation includes fuel and air path control [35]…”

Section: Number Of States In Designedmentioning

confidence: 99%

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: Number Of States In Designedmentioning

confidence: 99%

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

et al. 2021

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“…Paper [31] presents an MPC method for EGR valve position control which is an important mean for achieving accurate EGR manipulation. A two-state EGR valve model is designed in this work where the model parameters are determined through experiment measurement and the valve plate position is defined as the output from the model.…”

Section: ) Mpc Exhaust Gas Recirculation Valve Position Controlmentioning

confidence: 99%

Tutorial of model-based powertrain and aftertreatment system control design and implementation

Zhu

Wang

Sun

et al. 2015

2015 American Control Conference (ACC)

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This paper introduces the needs for applying model-based control techniques to vehicle powertrain and aftertreatment systems. A tutorial overview of model-based control techniques and methodologies for modern powertrain and aftertreatment systems is presented and compared with the traditional approaches. The control-oriented powertrain and aftertreatment system modeling techniques are also addressed along with their real-time simulation requirement for HIL (hardware-in-the-loop) simulations. The application examples of the model-based control of internal combustion engine, transmission, and aftertreatment systems are given in detail.Guoming Zhu is with the Department of Mechanical Engineering and the

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“…Model predictive control and nonlinear internal mode control are modern control methods that are suitable for complex systems with dynamic characteristics. Rajaei et al [ 21 ] proposed an EGR valve position servo control system based on model predictive control and experimentally proved that the full-open response time and the shut-off response time of the EGR valve are 500 ms and 200 ms, respectively. The study in [ 22 ] designed a nonlinear internal mode control strategy for linear motion valve position control to compensate for the effect of rate-dependent hysteresis.…”

Section: Introductionmentioning

confidence: 99%

“…State observer is usually used to measure the system state that cannot be measured directly. Rajaei [ 24 ] proposed generalized predictive control to achieve closed-loop control of valve position. In order to control the valve more accurately, the torque spring is considered an external disturbance torque, and then the Kalman filter is used to estimate the torque value of the torque spring.…”

Section: Introductionmentioning

confidence: 99%

Design and Implementation of a Linear Active Disturbance Rejection Control-Based Position Servo Control System of an Electromotive Valve for Exhaust Gas Recirculation

Cheng,

Yin,

et al. 2024

Sensors

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An exhaust gas recirculation (EGR) valve is used to quickly and dynamically adjust the amount of recirculated exhaust gas, which is critical for improving engine fuel economy and reducing emissions. To address problems relating to the precise positioning of an electromotive (EM) valve under slowly varying plant dynamics and uncertain disturbances, we propose a servo control system design based on linear active disturbance rejection control (LADRC) for the EGR EM valve driven by a limited angle torque motor (LATM). By analyzing the structure of the LATM and the transmission, the dynamic model of the system is derived. In addition, to solve the problems caused by slowly varying plant dynamics and uncertain disturbances, we combine the effects of uncertain model parameters and external disturbances as the total disturbance, which is estimated in real time by an extended state observer (ESO) and then compensated. In addition, accurate angular information is obtained using a non-contact magnetic angle measurement method, and a high-speed digital communication channel is established to help implement a closed-loop position control system with improved responsiveness and accuracy. Simulation and experimental results show that the proposed servo system design can effectively ensure the precision and real-time performance of the EM valve under slowly changing plant dynamics and uncertain disturbances. The proposed servo system design achieves a full-stroke valve control accuracy of better than 0.05 mm and a full-stroke response time of less than 100 ms. The controlled valve also has good robustness under shock-type external disturbances and excellent airflow control capability. The repeatability of the airflow control is generally within 5%, and the standard deviation is less than 0.2 m3/h.

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Model Predictive Control of Exhaust Gas Recirculation Valve

Cited by 6 publications

References 18 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

Tutorial of model-based powertrain and aftertreatment system control design and implementation

Design and Implementation of a Linear Active Disturbance Rejection Control-Based Position Servo Control System of an Electromotive Valve for Exhaust Gas Recirculation

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