Skip to main content
Top

2015 | OriginalPaper | Chapter

Fuzzy Adaptive Controller Design for Control of Air in Conditioned Room

Authors : Štefan Koprda, Martin Magdin

Published in: Intelligent Computing Theories and Methodologies

Publisher: Springer International Publishing

Activate our intelligent search to find suitable subject content or patents.

search-config
loading …

Abstract

In the paper we describe an adaptive controller for control of air in conditioned room. We know, that exist more procedures for management of change of climate air in room (for setup and maintain of optimal temperature) - classical control by using the button on/of, management by bimetallic sensors, temperature management through control elements and the like. The human body perceives the minimum temperature difference (+3/−3) in your area. Where it is necessary to maintain a constant temperature for a very long time (e.g. in offices, server rooms), we need to consider the controlled system. Control system is part of the control circuit and may be considered as transfer element with certain characteristics. In the choice of the controller and its configuration is important to know the dynamic properties of the system. The simplest is to determine the dynamic characteristics of the system obtained from the its step response. We may also use the frequency response, which is much more difficult to obtain. Dynamic properties of the control system can we mathematically to express as the relationship between the change in input (Action) and a change the output value of controlled variable. On the basis of the current research, as the most appropriate way to set up and maintain a constant temperature in room at minimum operating costs may be solution by using fuzzy adaptive controller.

Dont have a licence yet? Then find out more about our products and how to get one now:

Springer Professional "Wirtschaft+Technik"

Online-Abonnement

Mit Springer Professional "Wirtschaft+Technik" erhalten Sie Zugriff auf:

  • über 102.000 Bücher
  • über 537 Zeitschriften

aus folgenden Fachgebieten:

  • Automobil + Motoren
  • Bauwesen + Immobilien
  • Business IT + Informatik
  • Elektrotechnik + Elektronik
  • Energie + Nachhaltigkeit
  • Finance + Banking
  • Management + Führung
  • Marketing + Vertrieb
  • Maschinenbau + Werkstoffe
  • Versicherung + Risiko

Jetzt Wissensvorsprung sichern!

Springer Professional "Technik"

Online-Abonnement

Mit Springer Professional "Technik" erhalten Sie Zugriff auf:

  • über 67.000 Bücher
  • über 390 Zeitschriften

aus folgenden Fachgebieten:

  • Automobil + Motoren
  • Bauwesen + Immobilien
  • Business IT + Informatik
  • Elektrotechnik + Elektronik
  • Energie + Nachhaltigkeit
  • Maschinenbau + Werkstoffe




 

Jetzt Wissensvorsprung sichern!

Springer Professional "Wirtschaft"

Online-Abonnement

Mit Springer Professional "Wirtschaft" erhalten Sie Zugriff auf:

  • über 67.000 Bücher
  • über 340 Zeitschriften

aus folgenden Fachgebieten:

  • Bauwesen + Immobilien
  • Business IT + Informatik
  • Finance + Banking
  • Management + Führung
  • Marketing + Vertrieb
  • Versicherung + Risiko




Jetzt Wissensvorsprung sichern!

Literature
1.
go back to reference Guillemin, A., Morel, n: An innovative lighting controller integrated in a self adaptive building control system. Energy Build. 33, 477–487 (2001)CrossRef Guillemin, A., Morel, n: An innovative lighting controller integrated in a self adaptive building control system. Energy Build. 33, 477–487 (2001)CrossRef
2.
go back to reference Dounis, A.I., Santamouris, M., Lefas, C.C., Argiriou, A.: Design of a fuzzy set environment comfort system. Energy Build. 22, 81–87 (1994)CrossRef Dounis, A.I., Santamouris, M., Lefas, C.C., Argiriou, A.: Design of a fuzzy set environment comfort system. Energy Build. 22, 81–87 (1994)CrossRef
3.
go back to reference Dounis, A.I., Santamouris, M.J., Lefas, C.C.: Building Visual comfort control with fuzzy reasoning. Energy Convers. Manag. 34, 17–28 (1993)CrossRef Dounis, A.I., Santamouris, M.J., Lefas, C.C.: Building Visual comfort control with fuzzy reasoning. Energy Convers. Manag. 34, 17–28 (1993)CrossRef
4.
go back to reference Amrich, M., Hrubý, D.: Možnosti simulácie a návrhu Fuzzy Riadiacich Algoritmov. In: International Professional Seminar Topical Questions of Instruction of Electricaal Engineering Subjects at Faculties with Non-electrical Orientation “SEKEL2006. 12–14 Sept 2006, Vrátna, Slovakia. pp. 29–33. ISBN 80-8070-584-4 (2006) Amrich, M., Hrubý, D.: Možnosti simulácie a návrhu Fuzzy Riadiacich Algoritmov. In: International Professional Seminar Topical Questions of Instruction of Electricaal Engineering Subjects at Faculties with Non-electrical Orientation “SEKEL2006. 12–14 Sept 2006, Vrátna, Slovakia. pp. 29–33. ISBN 80-8070-584-4 (2006)
5.
go back to reference Altrock, C.V., Arend, H.O., Krause, B., Steffens, C., Behrens-Rommler, E.: Adaptive fuzzy control applied to home heating system. Fuzzy Sets Syst. 61, 29–35 (1994)CrossRef Altrock, C.V., Arend, H.O., Krause, B., Steffens, C., Behrens-Rommler, E.: Adaptive fuzzy control applied to home heating system. Fuzzy Sets Syst. 61, 29–35 (1994)CrossRef
6.
go back to reference Chen, T.: Real-time predictive supervisory operation of building thermal systems with thermal mass. Energy Build. 33(2), 141–150 (2001)CrossRef Chen, T.: Real-time predictive supervisory operation of building thermal systems with thermal mass. Energy Build. 33(2), 141–150 (2001)CrossRef
7.
go back to reference Chiang, M.L., Fu, L.C.: Hybrid Systém based adaptive control for the nonlinear hvac system. In: Proceeding of the Conference on American Control Minneapolis, 14–16 June 2006 Minnesota, USA pp. 5324–5329 (2006) Chiang, M.L., Fu, L.C.: Hybrid Systém based adaptive control for the nonlinear hvac system. In: Proceeding of the Conference on American Control Minneapolis, 14–16 June 2006 Minnesota, USA pp. 5324–5329 (2006)
8.
go back to reference Collewet, C., Rault, G., Quellec, S., Marchai, P.: fuzzy adaptive controller design for the joint space control of an agricultural robot. Fuzzy Sets Syst. 99(1), 1–25 (1998)CrossRef Collewet, C., Rault, G., Quellec, S., Marchai, P.: fuzzy adaptive controller design for the joint space control of an agricultural robot. Fuzzy Sets Syst. 99(1), 1–25 (1998)CrossRef
9.
go back to reference Curtis, P.S., Shavit, G., Kreider, K.: neural networks applied to buildings—a tutorial and case studies in prediction and adaptive control. ASHRAE Trans. 102(1), 24 (1996) Curtis, P.S., Shavit, G., Kreider, K.: neural networks applied to buildings—a tutorial and case studies in prediction and adaptive control. ASHRAE Trans. 102(1), 24 (1996)
10.
go back to reference Kolokotsa, D., Tsiavos, D., Stavrakakis, G.S., Kalaitzakis, K., Antonidakis, E.: Advanced fuzzy logic controllers design and evaluation for buildings’ occupants thermal visual comfort and indoor air quality satisfaction. Energy Build. 33, 531–543 (2001)CrossRef Kolokotsa, D., Tsiavos, D., Stavrakakis, G.S., Kalaitzakis, K., Antonidakis, E.: Advanced fuzzy logic controllers design and evaluation for buildings’ occupants thermal visual comfort and indoor air quality satisfaction. Energy Build. 33, 531–543 (2001)CrossRef
11.
go back to reference Dounis, A.I., Caraiscos, C.: Advanced control systems engineering for energy and comfort management in a building environment-a review. Renew. Sustain. Energy Rev. 13(6–7), 1246–1261 (2009)CrossRef Dounis, A.I., Caraiscos, C.: Advanced control systems engineering for energy and comfort management in a building environment-a review. Renew. Sustain. Energy Rev. 13(6–7), 1246–1261 (2009)CrossRef
12.
go back to reference Calvino, F., Gennusca, M.L., Rizzo, G., Scaccianoce, G.: The control of indoor thermal comfort conditions: introducing a fuzzy adaptive controller. Energy Build. 36, 97–102 (2004)CrossRef Calvino, F., Gennusca, M.L., Rizzo, G., Scaccianoce, G.: The control of indoor thermal comfort conditions: introducing a fuzzy adaptive controller. Energy Build. 36, 97–102 (2004)CrossRef
13.
go back to reference Huaguang, Z., Cai, L.: Decentralized nonlinear adaptive control of an HVAC system. Trans. Syst. Part C. 32, 493–498 (2002)CrossRef Huaguang, Z., Cai, L.: Decentralized nonlinear adaptive control of an HVAC system. Trans. Syst. Part C. 32, 493–498 (2002)CrossRef
14.
go back to reference Inoue, T., Kawase, T., Ibamoto, T., Takakusa, S., Matsuo, Y.: The development of an optimal control system for window shading devices based on investigations in office buildings. ASHRAE Trans. 104, 1034–1049 (1998) Inoue, T., Kawase, T., Ibamoto, T., Takakusa, S., Matsuo, Y.: The development of an optimal control system for window shading devices based on investigations in office buildings. ASHRAE Trans. 104, 1034–1049 (1998)
15.
go back to reference Ang, K.H., Chong, G.C.Y., Li, Y.: PID Control system analysis, design, and technology. IEEE Trans. Control Syst. Technol. 13(4), 559–576 (2005)CrossRef Ang, K.H., Chong, G.C.Y., Li, Y.: PID Control system analysis, design, and technology. IEEE Trans. Control Syst. Technol. 13(4), 559–576 (2005)CrossRef
16.
go back to reference Kummert, M., Andre, P., Nicolas, J.: Optimal heating control in a passive solar commercial building. Solar Energy 69(1–6), 103–116 (2001)CrossRef Kummert, M., Andre, P., Nicolas, J.: Optimal heating control in a passive solar commercial building. Solar Energy 69(1–6), 103–116 (2001)CrossRef
17.
go back to reference Lam, H.N.: Stochastic modeling and genetic algorithm based optimal control of air conditioning systems. In: Proceedings of the 3rd International Conference of the International Building Performance Simulation Association, Adelaide, Australia, pp. 435–441 (1993) Lam, H.N.: Stochastic modeling and genetic algorithm based optimal control of air conditioning systems. In: Proceedings of the 3rd International Conference of the International Building Performance Simulation Association, Adelaide, Australia, pp. 435–441 (1993)
18.
go back to reference Li, S., Zhang, X., Xu, J., Cai, W.: An improved fuzzy RBF based on cluster and its application in HVAC system. In: Proceedings of the 6th World Congress on Intelligent Control and Automation, 21–23 June 2006 Dalian, China, pp. 6455–6459 (2006) Li, S., Zhang, X., Xu, J., Cai, W.: An improved fuzzy RBF based on cluster and its application in HVAC system. In: Proceedings of the 6th World Congress on Intelligent Control and Automation, 21–23 June 2006 Dalian, China, pp. 6455–6459 (2006)
19.
go back to reference Liang, J., Du, R.: Thermal comfort control based on neural network for HVAC application. In: Proceeding of the IEEE Conference on Control Applications, 28–31 Aug 2005, Toronto, Canada, pp. 819–824 (2005) Liang, J., Du, R.: Thermal comfort control based on neural network for HVAC application. In: Proceeding of the IEEE Conference on Control Applications, 28–31 Aug 2005, Toronto, Canada, pp. 819–824 (2005)
20.
go back to reference Eftekhari, M., Marjanovic, L., Angelov, P.P.: Design and performance of a rulebased controller in a naturally ventilated room. Comput. Ind. 51, 299–326 (2003)CrossRef Eftekhari, M., Marjanovic, L., Angelov, P.P.: Design and performance of a rulebased controller in a naturally ventilated room. Comput. Ind. 51, 299–326 (2003)CrossRef
21.
go back to reference Gouda, M., Danaher, S., Underwood, C.: Thermal comfort based fuzzy logic controller. Build. Serv. Eng. Res. Technol. 22(4), 237–253 (2001)CrossRef Gouda, M., Danaher, S., Underwood, C.: Thermal comfort based fuzzy logic controller. Build. Serv. Eng. Res. Technol. 22(4), 237–253 (2001)CrossRef
22.
go back to reference Lah, M.T., Borut, Z., Krainer, A.: Fuzzy control for the illumination and temperature comfort in a test chamber. Build. Environ. 40, 1626–1637 (2005)CrossRef Lah, M.T., Borut, Z., Krainer, A.: Fuzzy control for the illumination and temperature comfort in a test chamber. Build. Environ. 40, 1626–1637 (2005)CrossRef
23.
go back to reference Mirinejad, H., Sadati, S.H., Ghasemian, M., Torab, H.: Control techniques in heating, ventilating and air conditioning systems. J. Comput. Sci. 4, 777–783 (2008)CrossRef Mirinejad, H., Sadati, S.H., Ghasemian, M., Torab, H.: Control techniques in heating, ventilating and air conditioning systems. J. Comput. Sci. 4, 777–783 (2008)CrossRef
24.
go back to reference Morel, N., Bauer, M., Khoury, M., El-Krauss, J.: Neurobat a predictive and adaptive heating control system using artificial neural networks. Int. J. Solar Energy 21, 161–201 (2000)CrossRef Morel, N., Bauer, M., Khoury, M., El-Krauss, J.: Neurobat a predictive and adaptive heating control system using artificial neural networks. Int. J. Solar Energy 21, 161–201 (2000)CrossRef
25.
go back to reference Paris, B., Eynard, J., Grieu, S., Polit, M.: Hybrid PID-fuzzy control Scheme for managing energy resources in buildings. Appl. Soft Comput. J. 11(8), 5068–5080 (2001)CrossRef Paris, B., Eynard, J., Grieu, S., Polit, M.: Hybrid PID-fuzzy control Scheme for managing energy resources in buildings. Appl. Soft Comput. J. 11(8), 5068–5080 (2001)CrossRef
26.
go back to reference Winn, C.B.: Controls in solar energy systems. Adv. Solar Energy (Am. Solar Energy Soc.) 1, 209–220 (1982) Winn, C.B.: Controls in solar energy systems. Adv. Solar Energy (Am. Solar Energy Soc.) 1, 209–220 (1982)
27.
go back to reference Li, Y., Ang, K.H., Chong, G.C.Y.: PID control system analysis and design – problems, remedies, and future directions. IEEE Control Syst. Mag. 26(1), 32–41 (2006)CrossRef Li, Y., Ang, K.H., Chong, G.C.Y.: PID control system analysis and design – problems, remedies, and future directions. IEEE Control Syst. Mag. 26(1), 32–41 (2006)CrossRef
Metadata
Title
Fuzzy Adaptive Controller Design for Control of Air in Conditioned Room
Authors
Štefan Koprda
Martin Magdin
Copyright Year
2015
DOI
https://doi.org/10.1007/978-3-319-22186-1_31

Premium Partner