Control Techniques in heating, ventilating and air conditioning systems

Journal of Computer Science

Volumn 4, Issue 9, 2008, Pages 777-783

  Mirinejad, Hossein ^a   Sadati, Seyed Hossein ^a   Ghasemian, Maryam ^b   Torab, Hamid ^c  

^a K N TOOSI UNIVERSITY OF TECHNOLOGY   (Iran)

^b ISLAMIC AZAD UNIVERSITY   (Iran)

^c IRAN UNIVERSITY OF SCIENCE AND TECHNOLOGY   (Iran)

Author keywords

Fuzzy control; HVAC; Neural network; Thermal comfort

Indexed keywords

EID: 59349119889     PISSN: 15493636     EISSN: None     Source Type: Journal    
DOI: 10.3844/jcssp.2008.777.783     Document Type: Review

References (29)

1. Chiang, M.L. and L.C. Fu, 2006. Hybrid system based adaptive control for the nonlinear HVAC system. Proceeding of the Conference on American Control Minneapolis, June 14-16, Minnesota, USA., pp: 5324-5329. http://ieeexplore.ieee.org/xpls/abs_all.jsp?arnumber=1657569.
2. Arguello-Serrano B. and M. Velez-Reyes, 1995. Design of a nonlinear HVAC control system with thermal load estimation. Proceeding of the IEEE Conference on Control Applications, Sept. 28-29, IEEE Computer Society, Washington DC., USA., pp: 33-39. http://ieeexplore.ieee.org/xpl/ tocresult.jsp?isnumber=12105.
3. Huaguang, Z. and L. Cai, 2002. Decentralized nonlinear adaptive control of an HVAC system. Trans. Syst. Part C., 32: 493-498. DOI: 10.1109/ TSMCC.2002.807271.
4. Imbabi, M.S., 1990. Computer validation of scale model tests for building energy simulation. Int. J. Energ. Res., 14: 727-736. DOI: 10.1243/0957650981536907.
5. Li, S., X. Zhang, J. Xu and W. Cai, 2006. An improved fuzzy RBF based on cluster and its application in HVAC system. Proceedings of the 6th World Congress on Intelligent Control and Automation, June 21-23, Dalian, China, pp: 6455-6459. DOI: 10.1109/WCICA.2006.1714328.
6. Hongli, J.L.L. and W. Cai, 2006. Model predictive control based on fuzzy linearization technique for HVAC systems temperature control. Proceedings of the 1st IEEE Conference on Industrial Electronics and Applications, May 24-26, Singapore, pp: 1-5. DOI: 10.1109/ ICIEA.2006.257295.
7. Anderson, M., P. Young, D. Hittle, C. Anderson, J. Tu and D. Hodgson, 2002. MIMO robust control for Heating, Ventilating and Air Conditioning (HVAC) systems. Proceeding of the 41st IEEE Conference on Decision and Control, Dec. 2002, Las Vegas, Nevada, USA., pp:167-172. http://ieeexplore.ieee.org/xpls/abs_all.jsp?arnumber=1184486
8. Liang, J. and R. Du, 2005. Thermal comfort control based on neural network for HVAC application. Proceeding of the IEEE Conference on Control Applications, Aug. 28-31, Toronto, Canada, pp: 819-824. DOI: 10.1109/CCA.2005.1507230.
9. Fanger, P.O., 1972. Thermal Comfort Analysis and Applications in Environmental Engineering. 1st Edn., McGraw Hill, New York.
10. Hamdi, M. and G. Lachiver, 1998. A fuzzy control system based on the human sensation of thermal comfort. Proceeding of the IEEE International Conference on Fuzzy System, Aug. 8, IEEE Computer Society, Washington DC., USA., pp: 4-9. DOI: 10.1109/FUZZY.1998.687534.
11. Cuip, C.H., M.L. Rhodes, B.C. Krafthefcr and M. Listvan, 1993. Silicon infrared sensors for thermal comfort and control. ASHRAE J., 35:38-42. http://cat.inist.fr/?aModele=afficheN&cpsidt=4692653.
12. Funakoshi S. and K. Matsuo, 1995. PMV-Based train air conditioning control system. ASHRAE Trans., 101: 423-430. http://direct.bl.uk/bld/ PlaceOrder.do?UIN=028676621&ETOC=EN&from=searchengine.
13. MacArthur, J.W., 1986. Humidity and predicted-mean-vote-based comfort control. ASHRAE Trans. 92: 5-17.
14. Schumacher, B., G. Bachmann and M. Guebeli, 1998. Economiser tx2 [Air conditioning control algorithm]. Proceeding of the UKACC International Conference on Control, Sep. 1-4, IEEE Computer Society, Washington DC., USA., pp: 1711-1716. http://ieeexplore.ieee.org/xpl/ freeabs_all.jsp?arnumber=726177.
15. Harrold, M.V. and D.M. Lush, 1988. Automatic controls in building services. Proc. Elect. Power Appl., 135: 105-133. DOI: 10.1049/ ip-b:19880015.
16. Mirinejad, H., S.H. Sadati, S. Hasanzadeh, A.M. Shahri and M. Ghasemian, 2008. Design and simulation of an automated system for greenhouse using LabVIEW. AEJAES, 3: 279-284. http://www.idosi.org/aejaes/aejaes3(2).htm.
17. Guo, P.Y., Z.H. Guang and Z. Bien, 1998. A simple fuzzy adaptive control method and application in HVAC. Proceeding of the IEEE International Conference on Fuzzy System, IEEE World Congress on Computational Intelligence, May 4-9, Anchorage, Alaska, USA., pp: 528-532. http://ieeexplore.ieee.org/xpls/abs_all.jsp?arnumber=687541.
18. Huang, S. and R.M. Nelson, 1991. A PID-law-combining fuzzy controller for HVAC application. ASHRAE Trans., 97: 768-774.
19. Geng, G. and G.M. Geary, 1993. On performanceand tuning of PID controllers in HVAC systems. Proceeding of the 2nd IEEE Conference on Control Applications, Sep. 13-16, Vancouver, B.C., Canada, pp: 819-824. DOI: 10.1109/CCA.1993.348229.
20. Pinnella, M.J., E. Wechselberger, D.C. Hittle and C.O. Pederson, 1986. Self-tuning digital integral control. ASHRAE Trans., 2: 202-210. http://www.osti.gov/energycitations/product.biblio.jsp?osti_id=6566373.
21. Krakow, K.I. and S. Lin, 1995. PI control of fan speed to maintain constant discharge pressure. ASHRAE Trans. Res., 101: 398-407. http://direct.bl.uk/bld/PlaceOrder.do?UIN=003093384&ETOC= RN&from=searchengine.
22. Wang, Q.G., C.C. Hang, Y. Zhang and Q. Bi, 1999. Multivariable controller auto-tuning with its application in HVAC systems. Proceedings of the Conference on American Control, June 02-04, San Diego, CA, USA., pp: 4353-4357. DOI: 10.1109/ACC.1999.786390.
23. Dexter, L., G. Geng and P. Haves, 1990. The application of self-tuning PID control to HVAC systems. Proceeding of the Colloquium on Control in Building Energy Management Systems, May 30, London, UK., pp: 4/1-4/3. ieeexplore.ieee.org/xpls/abs_all.jsp?arnumber=190273.
24. Arguello-Serrano B. and M. Velez-Reyes. 1999. Nonlinear control of a heating, ventilating and air conditioning system with thermal load estimation. IEEE Trans. Control Syst. Technol., 7: 56-63. DOI: 10.1109/ 87.736752.
25. Semsar, E., M.J. Yazdanpanah and C. Lucas, 2003. Nonlinear control and disturbance decoupling of an HVAC system via feedback linearization and backstepping. Proceedings of the IEEE Conference on Control Applications, June 23-25, Istanbul, Turkey, pp: 646-650. http://ieeexplore.ieee.org/xpl/freeabs_all.jsp?arnumber=1223513.
26. House, J.M. and T.F. Smith, 1995. Optimal control of building and HVAC systems Proceedings of the Conference on American Control, June 21-23, Seattle, WA., USA., pp: 4326-4330. http://ieeexplore.ieee.org/xpl/ freeabs_all.jsp?arnumber=532751.
27. Nizet, J.L., J. Lecomte and F.X. Litt, 1984. Optimal control applied to air conditioning in buildings, ASHRAE Trans., 90: 587-600. http://www.osti.gov/energycitations/product.biblio.jsp?osti_id=6118417
28. Hunt, K.J., D. Sbarbaro, R. Zbikowski and P.J. Gawthrop, 1992. Neural networks for control systems-a survey. Automatica (J. IFAC)., 28: 1083-1112. DOI: 10.1016/0005-1098(92)90053-I.
29. Teeter, J. and M. Chow, 1998. Application of functional link neural network to HVAC thermal dynamic system identification. Trans. Fuzzy Syst., 45: 170-176. DOI: 10.1109/41.661318.