Optimization-based constrained iterative learning control with application to building temperature control systems

Cheng Peng, Liting Sun, Wenlong Zhang, Masayoshi Tomizuka

    Research output: Chapter in Book/Report/Conference proceedingConference contribution

    8 Scopus citations

    Abstract

    In this paper, an optimization-based constrained iterative learning control (ILC) with an iteratively tunable feedback controller is proposed for building temperature control systems. To guarantee good control performance in the presence of both repetitive and non-repetitive disturbances, the ILC input and the feedback controller are optimized simultaneously in each iteration. Considering constraints from the input saturation, the ILC convergence requirement and the closed-loop stability, the controller design is formulated as a convex optimization problem. The influence of disturbance uncertainties is also incorporated into the optimization problem in the form of chance constraints. To reduce the complexity of the problem, special techniques such as relaxation and projection on convex sets are introduced to make the algorithm more efficient. The effectiveness of the proposed algorithm is verified by simulations conducted on a four-room testbed system.

    Original languageEnglish (US)
    Title of host publication2016 IEEE International Conference on Advanced Intelligent Mechatronics, AIM 2016
    PublisherInstitute of Electrical and Electronics Engineers Inc.
    Pages709-715
    Number of pages7
    Volume2016-September
    ISBN (Electronic)9781509020652
    DOIs
    StatePublished - Sep 26 2016
    Event2016 IEEE International Conference on Advanced Intelligent Mechatronics, AIM 2016 - Banff, Canada
    Duration: Jul 12 2016Jul 15 2016

    Other

    Other2016 IEEE International Conference on Advanced Intelligent Mechatronics, AIM 2016
    CountryCanada
    CityBanff
    Period7/12/167/15/16

    ASJC Scopus subject areas

    • Electrical and Electronic Engineering
    • Control and Systems Engineering
    • Computer Science Applications
    • Software

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  • Cite this

    Peng, C., Sun, L., Zhang, W., & Tomizuka, M. (2016). Optimization-based constrained iterative learning control with application to building temperature control systems. In 2016 IEEE International Conference on Advanced Intelligent Mechatronics, AIM 2016 (Vol. 2016-September, pp. 709-715). [7576851] Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/AIM.2016.7576851