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

Cheng Peng; Wenlong Zhang; Masayoshi Tomizuka

doi:10.1109/ACC.2016.7525087

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

Cheng Peng, Wenlong Zhang, Masayoshi Tomizuka

Polytechnic School, The (IAFSE-PS)

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

10 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 language	English (US)
Title of host publication	2016 American Control Conference, ACC 2016
Publisher	Institute of Electrical and Electronics Engineers Inc.
Pages	1241-1246
Number of pages	6
ISBN (Electronic)	9781467386821
DOIs	https://doi.org/10.1109/ACC.2016.7525087
State	Published - Jul 28 2016
Event	2016 American Control Conference, ACC 2016 - Boston, United States Duration: Jul 6 2016 → Jul 8 2016

Publication series

Name	Proceedings of the American Control Conference
Volume	2016-July
ISSN (Print)	0743-1619

Other

Other	2016 American Control Conference, ACC 2016
Country/Territory	United States
City	Boston
Period	7/6/16 → 7/8/16

ASJC Scopus subject areas

Electrical and Electronic Engineering

Access to Document

10.1109/ACC.2016.7525087

Cite this

Peng, C., Zhang, W., & Tomizuka, M. (2016). Iterative design of feedback and feedforward controller with input saturation constraint for building temperature control. In 2016 American Control Conference, ACC 2016 (pp. 1241-1246). [7525087] (Proceedings of the American Control Conference; Vol. 2016-July). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/ACC.2016.7525087

Iterative design of feedback and feedforward controller with input saturation constraint for building temperature control. / Peng, Cheng; Zhang, Wenlong; Tomizuka, Masayoshi.

2016 American Control Conference, ACC 2016. Institute of Electrical and Electronics Engineers Inc., 2016. p. 1241-1246 7525087 (Proceedings of the American Control Conference; Vol. 2016-July).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

Peng, C, Zhang, W & Tomizuka, M 2016, Iterative design of feedback and feedforward controller with input saturation constraint for building temperature control. in 2016 American Control Conference, ACC 2016., 7525087, Proceedings of the American Control Conference, vol. 2016-July, Institute of Electrical and Electronics Engineers Inc., pp. 1241-1246, 2016 American Control Conference, ACC 2016, Boston, United States, 7/6/16. https://doi.org/10.1109/ACC.2016.7525087

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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.",

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N2 - 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.

AB - 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.

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

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