The Control Technology of Air-Conditioning Based RBF Adaptive Neural Network

Abstract:

The central air-conditioning control system is a nonlinear, large inertia, delay system, controller the performance, relates directly to the control effect, energy loss and comfort level. This paper analyzes the working principle and characteristics of the air-conditioning system, and needle air-conditioning control deficiencies, with a prediction neural network control technology, established the neural network predictive controller model. Through the combination of sensor and controller predict, the simulation results show that the neural network predictive control has the characteristic of high speed and high control accuracy, and a strong ability to adapt and so on.

• Periodical: Advanced Materials Research (Volumes 490-495)
• Pages: 693-697
• DOI: https://doi.org/10.4028/www.scientific.net/AMR.490-495.693
• Online since: March 2012
• Authors: Jie Jia Li, Hao Chen, Dai Yan Liu
• Keywords: Central Air-Conditioning, Controller, Variable Air Volume

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