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Model-based Predictive Control of IC Engine Involving an Algebraic Link between Plant Inputs and Outputs

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Part of the book series: Advances in Intelligent Systems and Computing ((AISC,volume 393))

Abstract

The paper deals with the predictive control of a supercharged IC engine, based on a real-time predictive model of the engine. This allows for using signals in the feedback loop are not actually measured, just estimated by the predictive model. New approach to the control law computation is proposed, involving a direct algebraic link between the inputs and outputs of the controlled plant. The control is tested using both the MIL and HIL approach.

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References

  1. Nelles, O.: Nonlinear system identification with local linear fuzzy-neuro models. Automatisierungs technik, Shaker Verlag, Aachen, 1999

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  4. Sika, Z., Valasek, M., Florian, M., Macek, J., Polasek, M.: Multilevel Predictive Models of IC Engine for Model Predictive Control Implementation. SAE Technical Paper 2008-01-0209, doi: 10.4271/2008-01-0209

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Correspondence to Martin Florian .

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© 2016 Springer International Publishing Switzerland

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Florian, M., Dolecek, V., Sika, Z., Steinabauer, P. (2016). Model-based Predictive Control of IC Engine Involving an Algebraic Link between Plant Inputs and Outputs. In: Jabłoński, R., Brezina, T. (eds) Advanced Mechatronics Solutions. Advances in Intelligent Systems and Computing, vol 393. Springer, Cham. https://doi.org/10.1007/978-3-319-23923-1_5

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  • DOI: https://doi.org/10.1007/978-3-319-23923-1_5

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-23921-7

  • Online ISBN: 978-3-319-23923-1

  • eBook Packages: EngineeringEngineering (R0)

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