Title :
Study on the application of the fuzzy RBF neural network in the MIMO furnace control system
Author :
Yun Zhang ; Daofeng Zhou ; Xuemei Chen ; Ming shuang Bi
Author_Institution :
Sch. of Electr. & Inf. Eng., Changchun Inst. of Technol., Changchun, China
Abstract :
A multi-input/multi-output (MIMO) furnace control system based on the PID control and the fuzzy radical basis functions neural network(FRBFNN) control is presented, in this paper. In addition, the structure models and relative learning algorithms of the FRBFNN controller are gived. At last, simulation and experiment results based on an application of the MIMO furnace control system are provided to show that FRBFNN-control system has more robustness than the PID-control system especially in reducing noise and overcoming non linearities.
Keywords :
MIMO systems; control nonlinearities; furnaces; fuzzy control; fuzzy neural nets; learning systems; neurocontrollers; noise; radial basis function networks; robust control; three-term control; FRBFNN controller; FRBFNN-control system; MIMO furnace control system; PID control; PID-control system; fuzzy RBF neural network; fuzzy radical basis functions neural network control; multiinput/multioutput furnace control system; noise reduction; nonlinearity; relative learning algorithms; robustness; structure models; Automotive engineering; Control systems; Educational institutions; Furnaces; Fuzzy control; MIMO; Robustness; furnace control system; fuzzy radical basis functions neural network(FRBFNN); learning algorithms; multi-input/multi-output (MIMO);
Conference_Titel :
Computer Science & Education (ICCSE), 2011 6th International Conference on
Conference_Location :
Singapore
Print_ISBN :
978-1-4244-9717-1
DOI :
10.1109/ICCSE.2011.6028781
