EconPapers    
Economics at your fingertips  
 

Design of VAV BOX Controller Based on Fuzzy-PID Hybrid Control

Jing-liang Wei (), Shu-jiang Li, Xiang-dong Wang and Ming Guo
Additional contact information
Jing-liang Wei: Shenyang University of Technology
Shu-jiang Li: Shenyang University of Technology
Xiang-dong Wang: Shenyang University of Technology
Ming Guo: Shenyang University of Technology

A chapter in Proceedings of 2013 4th International Asia Conference on Industrial Engineering and Management Innovation (IEMI2013), 2014, pp 111-118 from Springer

Abstract: Abstract Hybrid fuzzy-PID controller is a controller that makes fuzzy and PID controller in parallel, it adopts fuzzy control when away from the operating point taking the advantages of solving the nonlinear uncertainty with fuzzy controller. And it adopts PID control around the work area by using PID to control the characteristics of high precision. The fuzzy PID controller is applied to the VAV BOX for many factors influenced by VAV terminal control. It effectively solves the problems of the VAV air conditioning system which is lag, big inertia, random interference and nonlinear. In addition it is verified in the VAV air conditioning test platform, and achieves the expected control effect.

Keywords: Fuzzy control; Fuzzy-PID control; Variable air volume; VAV BOX (search for similar items in EconPapers)
Date: 2014
References: Add references at CitEc
Citations:

There are no downloads for this item, see the EconPapers FAQ for hints about obtaining it.

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:spr:sprchp:978-3-642-40060-5_11

Ordering information: This item can be ordered from
http://www.springer.com/9783642400605

DOI: 10.1007/978-3-642-40060-5_11

Access Statistics for this chapter

More chapters in Springer Books from Springer
Bibliographic data for series maintained by Sonal Shukla () and Springer Nature Abstracting and Indexing ().

 
Page updated 2025-03-23
Handle: RePEc:spr:sprchp:978-3-642-40060-5_11