TR2018-213

Automotive Applications of Model Predictive Control

    •  Di Cairano, S., Kolmanovsky, I.V., "Automotive Applications of Model Predictive Control" in Handbook of Model Predictive Control, Raković S. and Levine W., Eds., DOI: 10.1007/​978-3-319-77489-3_21, pp. 493-527, Birkhäuser, February 2018.
      BibTeX TR2018-213 PDF
      • @incollection{DiCairano2018feb,
      • author = {Di Cairano, Stefano and Kolmanovsky, Ilya V.},
      • title = {Automotive Applications of Model Predictive Control},
      • booktitle = {Handbook of Model Predictive Control},
      • year = 2018,
      • editor = {Raković S. and Levine W.},
      • pages = {493--527},
      • month = feb,
      • publisher = {Birkhäuser},
      • doi = {10.1007/978-3-319-77489-3_21},
      • url = {https://www.merl.com/publications/TR2018-213}
      • }
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  • Research Area:

    Control

Abstract:

Model Predictive Control (MPC) has been investigated for a significant number of potential applications to automotive systems. The treatment of these applications has also stimulated several developments in MPC theory, design methods and algorithms, in recent years. This chapter provides an overview of automotive applications for which MPC has been considered and approaches to MPC development, deployment and implementation that have been pursued. First, a brief history of MPC applications to automotive systems and features that make MPC appealing for such applications are discussed. Then, for the main automotive control sub-domains, key first principle models and opportunities that these provide for the application of MPC are described. Next, we detail the key steps and guidelines of the MPC design process which is tailored to automotive systems. Finally, we discuss numerical algorithms for implementing MPC, and their suitability for automotive applications.