Nonlinear model predictive control of an internal combustion engine exposed to measured disturbances |
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Affiliation: | 1. Institute of Automation and Control Engineering, UMIT GmbH, Eduard-Wallnöfer-Zentrum 1, 6060 Hall i.T., Austria;2. GE Jenbacher GmbH & Co OG, Achenseestr. 1-3, 6200 Jenbach, Austria;3. Institute for Robotics and Mechatronics, JOANNEUM RESEARCH - Forschungsgesellschaft mbH, Lakeside B08a, 9020 Klagenfurt, Austria;1. University of Bayreuth, Mathematical Institute, Germany;2. Ruhr-University Bochum, Institute of Automation and Computer Control, Germany;1. German Aerospace Center (DLR), Oberpfaffenhofen, Germany;2. AIRBUS Flight Control Systems, Toulouse, France;3. DEIMOS-SPACE S.L.U., Madrid, Spain (now with the University of Bristol) |
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Abstract: | This work presents the design procedure of a speed controller for a large, lean burn, natural gas engine in island mode operation. This is a disturbance rejection problem with a measured, large disturbance. The core element is a nonlinear model predictive control (NMPC) algorithm that serves as outer loop controller in a cascaded control structure and generates set-points for low level control loops. The NMPC relies on a control oriented model that includes the physics based equations, assumptions on underlying control loops and constraints given by the control requirements. It is shown how to design the running cost such that the stability of the NMPC without terminal cost and constraints can be guaranteed for the nominal system and for the perturbed system exposed to parametric uncertainties and un-modeled dynamics. The functionality of the control strategy is demonstrated in simulation and by experimental results derived at the engine-testbed. |
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Keywords: | Engine control Model predictive control Internal combustion engine Island mode Gas engine |
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