Iterative design of feedback and feedforward controller with input saturation constraint for building temperature control

Cheng Peng, Wenlong Zhang, Masayoshi Tomizuka

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

8 Scopus citations

Abstract

In this paper, an iterative design of feedforward and feedback controller is proposed for a building temperature regulation application. An iterative learning control (ILC) strategy is utilized to eliminate the influence of repetitive disturbance and an iteratively tuned feedback controller is applied to reduce the influence of non-repetitive disturbance components. With constraints from input saturation, the controller design is formulated into a constrained optimization problem. To reduce the complexity of the problem, an alternating procedure is proposed to solve the optimization problem, separating the original problem into two parts, namely, constrained ILC problem and iterative feedback tuning problem. The proposed algorithm is demonstrated by simulations on a four-room testbed system.

Original languageEnglish (US)
Title of host publication2016 American Control Conference, ACC 2016
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages1241-1246
Number of pages6
ISBN (Electronic)9781467386821
DOIs
StatePublished - Jul 28 2016
Event2016 American Control Conference, ACC 2016 - Boston, United States
Duration: Jul 6 2016Jul 8 2016

Publication series

NameProceedings of the American Control Conference
Volume2016-July
ISSN (Print)0743-1619

Other

Other2016 American Control Conference, ACC 2016
CountryUnited States
CityBoston
Period7/6/167/8/16

ASJC Scopus subject areas

  • Electrical and Electronic Engineering

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