Nonlinear Optimal Generalized Predictive Functional Control applied to quasi-LPV model of automotive electronic throttle

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Abstract

A Nonlinear Optimal Generalized Predictive Functional Control algorithm is presented for the control of quasi linear parameter varying state-space systems. A scalar automotive electronic throttle body is simulated to demonstrate typical results. The controller structure is specified in a restricted structure form including a set of pre-specified linear transfer-functions and a vector of gains that are found to minimize a GPC cost-index. This approach enables a range of classical controller structures to be used in the feedback loop such as extended PI, PID or of a more general transfer-function form. The controller is introduced along with a dynamic cost-weighting tuning future. A simulation is used to validate the performance of the restricted structure controller for regulation and tracking problems assessed against automotive performance standards.
Original languageEnglish
Title of host publication15th International Conference on Control and Automation (ICCA)
Place of PublicationPiscataway, NJ
PublisherIEEE
Pages1277-1282
Number of pages6
ISBN (Electronic)9781728111643
ISBN (Print)9781728111643
DOIs
Publication statusE-pub ahead of print - 14 Nov 2019
EventThe 15th IEEE International Conference on Control & Automation - Edinburgh, United Kingdom
Duration: 16 Jul 201919 Jul 2019
Conference number: 15th
http://www.ieee-icca.org

Conference

ConferenceThe 15th IEEE International Conference on Control & Automation
Abbreviated titleIEEE ICCA 2019
CountryUnited Kingdom
CityEdinburgh
Period16/07/1919/07/19
Internet address

Keywords

  • nonlinear systems and control
  • time-varying Systems
  • optimal control

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