• DocumentCode
    728017
  • Title

    A switched dynamic programming approach towards optimal control of multiple rooftop units

  • Author

    Putta, Vamsi ; Donghun Kim ; Jie Cai ; Jianghai Hu ; Braun, James E.

  • Author_Institution
    Sch. of Electr. & Comput. Eng., Purdue Univ., West Lafayette, IN, USA
  • fYear
    2015
  • fDate
    1-3 July 2015
  • Firstpage
    281
  • Lastpage
    287
  • Abstract
    Buildings served by multiple rooftop units (RTUs) are widely prevalent in retail and food industries. Till date, most of such buildings utilize plain feedback or heuristic strategies to determine the RTU operations. We present a switched dynamic programming based approach for scheduling rooftop unit operations in an optimal manner. Using a mid-size restaurant served by multiple RTUs as an example, a switched affine dynamic system model is first presented. The RTU coordination control problem is then formulated as a switched optimal control problem with nontrivial switching cost. A dynamical programming based method is proposed for the solution of the switched optimal control problem, which has reasonable computational complexity and can be implemented as a model predictive control algorithm. The proposed method is evaluated through simulations, and its strengths and limitations are discussed.
  • Keywords
    building management systems; computational complexity; dynamic programming; optimal control; predictive control; roofs; switching systems (control); RTU coordination control problem; RTU operations; buildings; computational complexity; dynamical programming based method; mid-size restaurant; model predictive control algorithm; multiple rooftop unit operation scheduling; nontrivial switching cost; switched affine dynamic system model; switched dynamic programming approach; switched optimal control problem; Atmospheric modeling; Buildings; Computational modeling; Dynamic programming; Optimal control; Switches; Temperature measurement;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    American Control Conference (ACC), 2015
  • Conference_Location
    Chicago, IL
  • Print_ISBN
    978-1-4799-8685-9
  • Type

    conf

  • DOI
    10.1109/ACC.2015.7170749
  • Filename
    7170749