Jili Zhang Professor

Recommended Ph.D.Supervisor

Recommended MA Supervisor

Institutional Repository Personal Page

Paper Publications

Fuzzy control model and simulation of supply air system in a test rig of low-temperature hot-water radiator system

Release time:2019-03-09  Hits:

Indexed by:期刊论文

Date of Publication:2010-03-01

Journal:ENERGY AND BUILDINGS

Included Journals:SCIE、EI

Document Type:J

Volume:42

Issue:3

Page Number:386-392

ISSN No.:0378-7788

Key Words:Built environment chamber; Parameter identification; Self-extracting rules fuzzy control; Control simulation

Abstract:This paper proposes a typical multi-variable, large time delay and nonlinear system, self-extracting rules fuzzy control (SERFC) method to maintain a stable temperature value in a built environment chamber with supply air system and hot-water system. The parameters of the transfer functions in every control loop were identified by experimental data in a format of time sequences obtained from the experiment of dynamical responding performance. Fuzzy control simulations were implemented based on adjustment of the supply air system and hot-water system by SERFC. The simulation results show that SERFC for environment chamber has satisfied performance. There is no higher overshoot and stable error. The work presented in here can be used to deal with those complex thermal processes with difficulties in modeling of fuzzy control rules and provide a foundation for further application of fuzzy control in HVAC system. (C) 2009 Elsevier B.V. All rights reserved.

Date of Publication:2010-03-01

Click:

The Last Update Time:--

PC Version

中文