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.

References

References
1.
Hovgaard
,
T. G.
,
Larsen
,
L. F. S.
,
Edlund
,
K.
, and
Jørgensen
,
J. B.
,
2012
, “
Model Predictive Control Technologies for Efficient and Flexible Power Consumption in Refrigeration Systems
,”
Energy
,
44
(
1
), pp.
105
116
.
2.
Khayyam
,
H.
,
Nahavandi
,
S.
,
Hub
,
E.
,
Kouzani
,
A.
,
Chonka
,
A.
,
Abawajy
,
J.
,
Marano
,
V.
, and
Davis
,
S.
,
2011
, “
Intelligent Energy Management Control of Vehicle Air Conditioning Via Look-Ahead System
,”
Appl. Therm. Eng.
,
31
(
16
), pp.
3147
3160
.
3.
Liu
,
J.
,
Zhou
,
H.
,
Zhou
,
X.
,
Cao
,
Y.
, and
Zhao
,
H.
,
2011
, “
Automotive Air Conditioning System Control—A Survey
,”
2011 International Conference on Electronic and Mechanical Engineering and Information Technology
, Aug. 12–14,
Harbin, Heilongjiang
,
China
, Vol.
7
, pp.
3408
3412
.
4.
Leva
,
A.
,
Piroddi
,
L.
,
Di Felice
,
M.
,
Boer
,
A.
, and
Paganini
,
R.
,
2010
, “
Adaptive Relay-Based Control of Household Freezers With On–Off Actuators
,”
Control Eng. Pract.
,
18
(
1
), pp.
94
102
.
5.
Li
,
B.
,
Otten
,
R.
,
Chandan
,
V.
,
Mohs
,
W. F.
,
Berge
,
J.
, and
Alleyne
,
A. G.
,
2010
, “
Optimal On–Off Control of Refrigerated Transport Systems
,”
Control Eng. Pract.
,
18
(
12
), pp.
1406
1417
.
6.
Afram
,
A.
, and
Janabi-Sharifi
,
F.
,
2014
, “
Theory and Applications of HVAC Control Systems—A Review of Model Predictive Control (MPC)
,”
Build. Environ.
,
72
, pp.
343
355
.
7.
Høgh
,
G.
, and
Nielsen
,
R.
,
2008
, “
Model Based Nonlinear Control of Refrigeration Systems
,” Master thesis, AAU Section for Automation and Control,
Aalborg
,
Denmark
.
8.
Petersen
,
A.
, and
Lund
,
P. A.
,
2004
, “
Modeling and Control of Refrigeration Systems
,” Master thesis, Aalbory University Institute of Electronic Systems,
Aalborg
,
Denmark
.
9.
Rasmussen
,
B. P.
, and
Alleyne
,
A. G.
,
2006
, “
Dynamic Modeling and Advanced Control of Air Conditioning and Refrigeration Systems
,” Air Conditioning and Refrigeration Center, College of Engineering, University of Illinois at Urbana-Champaign, Report No. TR-244.
10.
Mohanraj
,
M.
,
Jayaraj
,
S.
, and
Muraleedharan
,
C.
,
2012
, “
Applications of Artificial Neural Networks for Refrigeration, Air-Conditioning and Heat Pump Systems—A Review
,”
Renewable Sustainable Energy Rev.
,
16
(
2
), pp.
1340
1358
.
11.
Koo
,
B.
,
Yoo
,
Y.
, and
Won
,
S.
,
2012
, “
Super-Twisting Algorithm-Based Sliding Mode Controller for a Refrigeration System
,”
12th International Conference on Control, Automation and Systems (ICCAS)
, Oct. 17–21, Jeju Island, South Korea, IEEE, pp.
34
38
.
12.
Shah
,
R.
,
Alleyne
,
A. G.
,
Bullard
,
C. W.
,
Rasmussen
,
B. P.
, and
Hrnjak
,
P. S.
,
2003
, “
Dynamic Modeling and Control of Single and Multi-Evaporator Subcritical Vapor Compression Systems
,”
component of ACRC
Project No. 123, Air Conditioning and Refrigeration Center, College of Engineering, University of Illinois at Urbana-Champaign, Urbana, IL.
13.
Rasmussen
,
B. P.
, and
Alleyne
,
A. G.
,
2004
, “
Control-Oriented Modeling of Transcritical Vapor Compression Systems
,”
ASME J. Dyn. Sys., Meas., Control
126
(
1
), pp.
54
64
.
14.
He
,
X. D.
,
1996
, “
Dynamic Modeling and Multivariable Control of Vapor Compression Cycles in Air Conditioning Systems
,” Doctoral dissertation,
Massachusetts Institute of Technology
,
Cambridge, MA
.
15.
Larsen
,
L. F. S.
,
2006
, “
Model Based Control of Refrigeration Systems
,” Ph.D. dissertation,
Department of Control Engineering, Aalborg University
,
Aalborg, Denmark
.
16.
He
,
M.
,
Cai
,
W.
, and
Li
,
S.
,
2005
, “
Multiple Fuzzy Model-Based Temperature Predictive Control for HVAC Systems
,”
Inf. Sci.
,
169
(
1–2
), pp.
155
174
.
17.
Serrao
,
L.
,
Onori
,
S.
, and
Rizzoni
,
G.
,
2011
, “
A Comparative Analysis of Energy Management Strategies for Hybrid Electric Vehicles
,”
ASME J. Dyn. Syst., Meas., Control
,
133
(
3
), p.
031012
.
18.
Ji
,
J.
,
Khajepour
,
A.
,
Melek
,
W.
, and
Huang
,
Y.
,
2016
, “
Path Planning and Tracking for Vehicle Collision Avoidance Based on Model Predictive Control With Multi-Constraints
,”
IEEE Transactions on Vehicular Technology
, p.
1
.
19.
Saleh
,
B.
, and
Aly
,
A. A.
,
2015
, “
Flow Control Methods in Refrigeration Systems: A Review
,”
Int. J. Control, Autom. Syst.
,
4
(
1
), pp.
14
23
.
20.
Sørensen
,
K. K.
,
Stoustrup
,
J.
, and
Bak
,
T.
,
2015
, “
Adaptive MPC for a Reefer Container
,”
Control Eng. Pract.
,
44
, pp.
55
64
.
21.
Ng
,
B. C.
,
Darus
,
I. Z. M.
,
Jamaluddin
,
H.
, and
Kamar
,
H. M.
,
2014
, “
Application of Adaptive Neural Predictive Control for an Automotive Air Conditioning System
,”
Appl. Therm. Eng.
,
73
(
1
), pp.
1244
1254
.
22.
Huang
,
G.
, and
Dexter
,
A. L.
,
2008
, “
Realization of Robust Nonlinear Model Predictive Control by Offline Optimisation
,”
J. Process Control
,
18
(
5
), pp.
431
438
.
23.
Sousa
,
J. M.
,
Babuška
,
R.
, and
Verbruggen
,
H. B.
,
1997
, “
Fuzzy Predictive Control applied to an Air-Conditioning System
,”
Control Eng. Pract.
,
5
(
10
), pp.
1395
1406
.
24.
He
,
X.-D.
,
Liu
,
S.
, and
Asada
,
H. H.
,
1997
, “
Modeling of Vapor Compression Cycles for Multivariable Feedback Control of HVAC Systems
,”
ASME J. Dyn. Syst., Meas., Control
,
119
(
2
), pp.
183
191
.
25.
Huang
,
Y.
,
Khajepour
,
A.
,
Bagheri
,
F.
, and
Bahrami
,
M.
,
2016
, “
Modelling and Optimal Energy-Saving Control of Automotive Air-Conditioning and Refrigeration Systems
,”
Proc. Inst. Mech. Eng., Part D
, epub.
26.
Li
,
B.
,
2009
, “
Dynamic Modeling and Control of Vapor Compression Cycle Systems With Shut-Down and Start-Up Operations
,” MS thesis, University of Illinois, Urbana, IL.
27.
Larsen
,
L. F. S.
,
Thybo
,
C.
,
Stoustrup
,
J.
, and
Rasmussen
,
H.
,
2004
, “
A Method for Online Steady State Energy Minimization, With Application to Refrigeration Systems
,”
43rd IEEE Conference on Decision and Control
, Dec. 14–17, Paradise Island, The Bahamas IEEE, Vol.
5
, pp.
4708
4713
.
28.
Larsen
,
L. S.
,
Thybo
,
C.
,
Stoustrup
,
J.
, and
Rasmussen
,
H.
,
2003
, “
Control Methods Utilizing Energy Optimizing Schemes in Refrigeration Systems
,”
European Control Conference
Sept. 1–4, Cambridge, UK. IEEE, pp.
1973
1977
.
29.
Larsen
,
L. S.
, and
Thybo
,
C.
,
2004
, “
Potential Energy Savings in Refrigeration Systems Using Optimal Set-Points
,”
Proceedings of the IEEE International Conference on Control Applications
,
IEEE
, Vol.
1
, pp.
701
704
.
30.
Glaoui
,
H.
,
Hazzab
,
A.
,
Boussemaha
,
B.
, and
Bousserhane
,
I. K.
,
2011
, “
SISO and MIMO Sliding Mode Control for Web Winding System
,”
Int. Electr. Eng. J. (IEEJ)
,
2
(
3
), pp.
581
588
.
31.
Benamor
,
A.
,
Chrifi-alaui
,
L.
,
Messaoud
,
H.
, and
Chaabane
,
M.
,
2011
, “
Sliding Mode Control, With Integrator, for a Class of Mimo Nonlinear Systems
,”
Engineering
,
3
(
5
), pp.
435
444
.
32.
Bemporad
,
A.
,
Borrelli
,
F.
, and
Morari
,
M.
,
2002
, “
Model Predictive Control Based on Linear Programming–The Explicit Solution
,”
IEEE Transactions on Automatic Control
,
47
(
12
), pp.
1974
1985
.
33.
Ferreau
,
H. J.
,
Kirches
,
C.
,
Potschka
,
A.
,
Bock
,
H. G.
, and
Diehl
,
M.
,
2013
, “
qpOASES: A Parametric Active-Set Algorithm for Quadratic Programming
,”
Math. Prog. Comp.
,
6
(
4
), pp.
327
363
.
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