Title :
Design of intelligent controller for air-conditioning unit based on fuzzy RBF-NN
Author_Institution :
Dept. of Electron. Sci., Huizhou Univ., Huizhou, China
Abstract :
The intelligent control for air conditioners is important in the field on building automation. A design method of an intelligent air conditioner controller is proposed in this paper. Utilizing the technical characteristics of LonWorks field bus, a master-slave architecture was design with the neuron chips and a main control chip. An adaptive control strategy based on fuzzy radial basis function neural networks (RBF-NN) was proposed for the control loops, a fuzzy neural network controller and a neural network identifier were designed. The effectiveness and advantages of this LonWorks based control system is proved in practice.
Keywords :
adaptive control; air conditioning; building management systems; control system synthesis; field buses; fuzzy control; neural chips; neurocontrollers; radial basis function networks; LonWorks field bus; adaptive control strategy; air conditioners; air-conditioning unit; building automation; control loops; control system; design method; fuzzy RBF-NN; fuzzy neural network controller; fuzzy radial basis function neural networks; intelligent air conditioner controller; intelligent controller design; main control chip; master-slave architecture; neural network identifier; neuron chips; Artificial neural networks; Buildings; Fuzzy control; Fuzzy neural networks; Neurons; Temperature control; Adaptive control algorithm; Air conditioners; Fuzzy neural network; Intelligent controllers; LonWorks;
Conference_Titel :
Machine Learning and Cybernetics (ICMLC), 2010 International Conference on
Conference_Location :
Qingdao
Print_ISBN :
978-1-4244-6526-2
DOI :
10.1109/ICMLC.2010.5580599
