Title :
Self-learning neural network fuzzy control applied to the synthetic ammonia production
Author :
Li, Shaoyuan ; Xi, Yugeng ; Xiaoye, Wang
Author_Institution :
Inst. of Autom., Shanghai Jiaotong Univ., China
Abstract :
Proposes a fuzzy control scheme based on a neural network (NN) structure. The control system includes two NNs. One NN carries out the inference process of the control rules by fuzzy inference and the other one optimizes the fuzzy domain of the language variable in the forward channel by tracking the system dynamics. Hence, the scheme can improve the system performance. The example of the synthetic ammonia system shows the effectiveness of the control scheme
Keywords :
ammonia; chemical technology; fuzzy control; fuzzy logic; neurocontrollers; process control; self-adjusting systems; temperature control; control rules; fuzzy inference; inference process; self-learning neural network fuzzy control; synthetic ammonia production; Biological neural networks; Control systems; Error correction; Fuzzy control; Fuzzy neural networks; Fuzzy reasoning; Fuzzy sets; Fuzzy systems; Neural networks; Production;
Conference_Titel :
Control Applications, 2000. Proceedings of the 2000 IEEE International Conference on
Conference_Location :
Anchorage, AK
Print_ISBN :
0-7803-6562-3
DOI :
10.1109/CCA.2000.897447
