Nonlinear model predictive air path control for turbocharged SI engines with low pressure EGR and a continuous surge valve
This paper proposes a model predictive strategy for air path control turbocharged Spark Ignition (SI) engines with low pressure Exhaust Gas Recirculation (EGR). The proposed Nonlinear Model Predictive Controller (NMPC) is designed to track manifold pressure and EGR concentration reference, by manipu...
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| Published in | 2017 American Control Conference (ACC) pp. 4741 - 4746 |
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| Main Authors | , , , , |
| Format | Conference Proceeding |
| Language | English |
| Published |
AACC
01.05.2017
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| Subjects | |
| Online Access | Get full text |
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| Abstract | This paper proposes a model predictive strategy for air path control turbocharged Spark Ignition (SI) engines with low pressure Exhaust Gas Recirculation (EGR). The proposed Nonlinear Model Predictive Controller (NMPC) is designed to track manifold pressure and EGR concentration reference, by manipulating throttle, EGR valve, continuous surge valve and waste gate. The NMPC is solved in real time using Sequential Quadratic Programming (SQP) to obtain the desired control actions. Simulation results demonstrate that the proposed model predictive air path control can coordinate all the actuators to track manifold absolute pressure (MAP) and EGR concentration demand with minimal response time. |
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| AbstractList | This paper proposes a model predictive strategy for air path control turbocharged Spark Ignition (SI) engines with low pressure Exhaust Gas Recirculation (EGR). The proposed Nonlinear Model Predictive Controller (NMPC) is designed to track manifold pressure and EGR concentration reference, by manipulating throttle, EGR valve, continuous surge valve and waste gate. The NMPC is solved in real time using Sequential Quadratic Programming (SQP) to obtain the desired control actions. Simulation results demonstrate that the proposed model predictive air path control can coordinate all the actuators to track manifold absolute pressure (MAP) and EGR concentration demand with minimal response time. |
| Author | Prucka, Robert Feng, Lujia Onori, Simona Koli, Rohit Zhu, Qilun |
| Author_xml | – sequence: 1 givenname: Qilun surname: Zhu fullname: Zhu, Qilun organization: Clemson University-International Center for Automotive Research, Greenville, 29607, USA – sequence: 2 givenname: Rohit surname: Koli fullname: Koli, Rohit organization: Clemson University-International Center for Automotive Research, Greenville, 29607, USA – sequence: 3 givenname: Lujia surname: Feng fullname: Feng, Lujia organization: Clemson University-International Center for Automotive Research, Greenville, 29607, USA – sequence: 4 givenname: Simona surname: Onori fullname: Onori, Simona organization: Clemson University-International Center for Automotive Research, Greenville, 29607, USA – sequence: 5 givenname: Robert surname: Prucka fullname: Prucka, Robert organization: Clemson University-International Center for Automotive Research, Greenville, 29607, USA |
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| Snippet | This paper proposes a model predictive strategy for air path control turbocharged Spark Ignition (SI) engines with low pressure Exhaust Gas Recirculation... |
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| SubjectTerms | Atmospheric modeling Computational modeling Delays Engines Manifolds Surges Valves |
| Title | Nonlinear model predictive air path control for turbocharged SI engines with low pressure EGR and a continuous surge valve |
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