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Research on Fuzzy-Neural Networks Controller in Thermostatic and Humidistatic Aircondition System

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Recent Advances in Computer Science and Information Engineering

Part of the book series: Lecture Notes in Electrical Engineering ((LNEE,volume 125))

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Abstract

The thermostatic and humidistatic aircondition control system is a typical nonlinear, time-variant system with great lag and strong interference. It is difficult to control complicated process to get nice control precision by classical control technology or modern control theory, due to rigorous mathematics model.Non optimized control method reduces the efficiency of aircondition, causes enormous loss of energy. A new method of the perfect combining the fuzzy control and the neural Networks control is proposed in this paper. The fuzzy control could generate control laws for structural fuzzy controller based on the expert experience, without the need of the accurate mathematical model of the object. The neural Networks control can adjust the fuzzy rule base online and fine tune parameters in real time to achieve satisfactory precision and good energy saving. The result of the simulation shows, in the condition of the system parameter’s change or the external disturbances, these methods of improvement show high precision and obviously lower energy expenses.

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Author information

Authors and Affiliations

  1. Mechanical and Electronic Engineering and Automation, Shanghai University, Shanghai, 200072, China

    Xing Li, Dingguo Shao & Wei Lv

Authors
  1. Xing Li
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  2. Dingguo Shao
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  3. Wei Lv
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Editor information

Editors and Affiliations

  1. , College of Communication Engineering, Jilin University, Room 313, Building No.1, Changchun, Nanhu Avenue 5372, Jilin, 130012, China, People's Republic

    Zhihong Qian

  2. , Department of Electrical Engineering, The University of Mississippi, Anderson Hall 314, Mississippi, 38677, Mississippi, USA

    Lei Cao

  3. , Department of Electrical and Computer En, Naval Postgraduate School, Rm. 452 Spanagel Bldg. 232, Dyer Road 833, Monterey, 93943-5121, California, USA

    Weilian Su

  4. , Faculty of Computing, London Metropolitan University, Holloway Road 166-220, London, N7 8DB, United Kingdom

    Tingkai Wang

  5. , College of Software, Changchun University of Science and Tech, Changchun, Jilin, 130022, China, People's Republic

    Huamin Yang

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© 2012 Springer-Verlag GmbH Berlin Heidelberg

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Li, X., Shao, D., Lv, W. (2012). Research on Fuzzy-Neural Networks Controller in Thermostatic and Humidistatic Aircondition System. In: Qian, Z., Cao, L., Su, W., Wang, T., Yang, H. (eds) Recent Advances in Computer Science and Information Engineering. Lecture Notes in Electrical Engineering, vol 125. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-25789-6_13

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  • DOI: https://doi.org/10.1007/978-3-642-25789-6_13

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  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-25788-9

  • Online ISBN: 978-3-642-25789-6

  • eBook Packages: EngineeringEngineering (R0)

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