Decentralized iterative learning control of building temperature control system

Tuynh Van Pham, Dinh Hoa Nguyen, David Banjerdpongchai

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

    4 Citations (Scopus)

    Abstract

    This paper aims to design decentralized iterative learning control (ILC) for building temperature control system (BTCS). The BTCS is described by a large-scale interconnected dynamic equation and modeled as a linear multiagent system subjected to undirected communication topology using graph theory. Typically, there are two types of control strategies for BTCS, namely, distributed and decentralized schemes. The main idea of designing for the decentralized scheme is to separate the whole system into a number of subsystems. In this research, we formulate and apply decentralized ILC to a four-connected-room model. In particular, we design D-type ILC for each room in the building separately, and each controller does not communicate with other controllers. The main task of the local controller is to achieve the tracking objective, i.e., the temperature of each room tracks its own desired reference temperature. Finally, numerical results illustrate the effectiveness of decentralized ILC and are compared with that of distributed consensus controller (DCC). The results show that output responses of both controllers can track trapesoidal reference and consume the same amount of total power at steady state. Decentralized ILC gives response without overshoot, and its convergence is faster than that of DCC. Convergence analysis reveals that tracking speed depends on the choice of learning gain.

    Original languageEnglish
    Title of host publicationProceedings of 2017 SICE International Symposium on Control Systems, ISCS 2017
    PublisherInstitute of Electrical and Electronics Engineers Inc.
    ISBN (Electronic)9784907764548
    Publication statusPublished - Mar 29 2017
    Event3rd SICE International Symposium on Control Systems, ISCS 2017 - Okayama, Japan
    Duration: Mar 6 2017Mar 9 2017

    Publication series

    NameProceedings of 2017 SICE International Symposium on Control Systems, ISCS 2017

    Other

    Other3rd SICE International Symposium on Control Systems, ISCS 2017
    CountryJapan
    CityOkayama
    Period3/6/173/9/17

    All Science Journal Classification (ASJC) codes

    • Control and Systems Engineering
    • Control and Optimization

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