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

Alotaibi, S. and Grimble, M.; (2019) Nonlinear Optimal Generalized Predictive Functional Control applied to quasi-LPV model of automotive electronic throttle. In: 15th International Conference on Control and Automation (ICCA). IEEE, GBR, pp. 1277-1282. ISBN 9781728111643 (https://doi.org/10.1109/ICCA.2019.8899985)

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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.

ORCID iDs

Alotaibi, S. ORCID logoORCID: https://orcid.org/0000-0003-1996-7978 and Grimble, M.;
  • Item type:Book Section
    ID code:70788
    Dates:
    Date
    Event
    14 November 2019
    Published
    14 November 2019
    Published Online
    22 February 2019
    Accepted
    Notes:© 2019 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works
    Subjects:Technology > Electrical engineering. Electronics Nuclear engineering
    Department:Faculty of Engineering > Electronic and Electrical Engineering
    Depositing user: Pure Administrator
    Date deposited:11 Dec 2019 11:49
    Last modified:11 Nov 2024 15:20
    URI:https://strathprints.strath.ac.uk/id/eprint/70788
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