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Technical Brief

A Comparative Study of the Energy-Saving Controllers for Automotive Air-Conditioning/Refrigeration Systems

[+] Author and Article Information
Yanjun Huang

Department of Mechanical and Mechatronics Engineering,
University of Waterloo,
Waterloo, ON N2L3G1, Canada
e-mail: y269huan@uwaterloo.ca

Amir Khajepour

Department of Mechanical and Mechatronics Engineering,
University of Waterloo,
Waterloo, ON N2L3G1, Canada
e-mail: a.khajepour@uwaterloo.ca

Milad Khazraee

Department of Mechanical and Mechatronics Engineering,
University of Waterloo,
Waterloo, ON N2L3G1, Canada
e-mail: milad.khazraee@uwaterloo.ca

Majid Bahrami

School of Mechatronic System Engineering,
Simon Fraser University,
Surry, BC V3T 0A3, Canada
e-mail: mbahrami@sfu.ca

1Corresponding author.

Contributed by the Dynamic Systems Division of ASME for publication in the JOURNAL OF DYNAMIC SYSTEMS, MEASUREMENT, AND CONTROL. Manuscript received November 10, 2015; final manuscript received August 10, 2016; published online October 17, 2016. Assoc. Editor: Yang Shi.

J. Dyn. Sys., Meas., Control 139(1), 014504 (Oct 17, 2016) (9 pages) Paper No: DS-15-1566; doi: 10.1115/1.4034505 History: Received November 10, 2015; Revised August 10, 2016

With the extensive application of air-conditioning/refrigeration (A/C-R) systems in homes, industry, and vehicles, many efforts have been put toward the controller development for A/C-R systems. Therefore, this paper proposes an energy-saving model predictive controller (MPC) via a comparative study of several control approaches that could be applied in automotive A/C-R systems. The on/off controller is first presented and used as a basis to compare with others. The conventional proportional-integral (PI) as well as a set-point controller follows. In the set-point controller, the sliding mode control (SMC) strategies are also employed. Then, the MPC is elaborated upon. Finally, the simulation and experimental results under the same scenario are compared to demonstrate how the advanced MPC can bring more benefits in terms of performance and energy saving (10%) over the conventional controllers.

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Figures

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Fig. 1

Schematic diagram of an A/C-R system

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Fig. 3

Experimental system

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Fig. 4

Diagram of A/C-R system with on/off controller

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Fig. 5

Controlled temperature performance

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Fig. 6

Three inputs of the system

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Fig. 7

Diagram of A/C-R system with PI controller

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Fig. 8

Controlled temperature performance

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Fig. 9

Three inputs of the system

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Fig. 10

Diagram of A/C-R system with set-point controller

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Fig. 11

Controlled temperature performance

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Fig. 12

Three inputs of the system

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Fig. 13

(a) Diagram of A/C-R system with MPC and (b) structure of MPC

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Fig. 14

Structure of the discrete MPC

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Fig. 15

Controlled temperature performance

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Fig. 16

Three inputs of the system

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Fig. 17

Diagram of experimental system with controllers

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Fig. 18

Controlled temperature performance by on/off controller

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Fig. 19

Three inputs of the system by on/off controller

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Fig. 20

Controlled temperature performance by set-point controller

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Fig. 21

Three inputs of the system by set-point controller

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Fig. 22

Controlled temperature performance by MPC

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Fig. 23

Three inputs of the system by MPC

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