Optimal combustion engine control using Model Predictive Control
Volvo Business Services AB / Maskiningenjörsjobb / Göteborg
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hela Sverige Background of thesis project
The combustion engine is a complex multivariable system which conventionally has been controlled with separate feed-forward and feedback. However, as it is challenging to incorporate the multivariable impact in by conventional approach and there is no supporting methodology for constraint handling, a more coordinated control method is desired. Model Predictive Control (MPC) is an attractive method that can control multivariable systems and take constraints into account. It also is a flexible platform where optimization or constraints easily can be added or subtracted. To comply with the more stringent emissions regulation and improved fuel consumption on a combustion engine, the air charge and start of injection must be accurately controlled to ensure that the engine's outflow meets the aftertreatment system's needs.
This work aims at calibrating an engine model and thereafter designing and implementing a nonlinear MPC to control the combustion engine to meet the aftertreatment, fuel consumption, hardware and driverability needs.
Suitable background
Strong skills in modeling, analysis and simulation of dynamical systems
Strong skills in control systems and MPC
Proficiency in MATLAB/Simulink
Suitable for two students
ACTIVITIES AND OBJECTIVES
Basic acquaintance with combustion engine and its objectives
Detailed acquaintance with engine model
Calibrate engine model using test cell data
Developing MPC formulation for engine control
Implementation and evaluation of the resulting MPC controller
in simulation environment (MATLAB/Simulink)
Potential bonus: run the nonlinear MPC in engine in test cell
Thesis Level: Master
Language: English
Starting date: 2024-01-08
Number of students: 2
Tutor
Johan Dahl, Expert system engineer L1, +46 73 9027756
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Så ansöker du Sista dag att ansöka är 2023-12-01
Klicka på denna länk för att göra din ansökan Omfattning Detta är ett heltidsjobb.
Arbetsgivare Volvo Business Services AB (org.nr 556029-5197)
405 08 GÖTEBORG
Arbetsplats Group Trucks Technology
Jobbnummer 8255877
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