DocumentCode :
553083
Title :
Research of predictive system for feed quantity of combine based on fuzzy neural network
Author :
Jin Chen ; Shiyu Zheng ; Shijie Lv ; Yuelan Zheng ; Yaoming Li
Author_Institution :
Sch. of Mech. Eng., Jiangsu Univ., Zhenjiang, China
Volume :
2
fYear :
2011
fDate :
26-28 July 2011
Firstpage :
863
Lastpage :
867
Abstract :
A predictive system for feed quantity of combine based on fuzzy neural network was proposed to solve the delay problem of measuring feed quantity. This paper constructed the predictive system according to the actual destination and then decided the input and output of the network and its fuzzy dividing. At the same time, this paper investigated the construction of fuzzy rule base and designed the topological structure of networks. From experiments, this paper selected the example data for testing and abstracted initial fuzzy rules and trained the network using the example data and checked the generalizing ability of the network. The result proved the network of predictive system to be practicable. It was useful to improve real-time performance of control system of combine.
Keywords :
agricultural machinery; delays; fuzzy neural nets; knowledge based systems; predictive control; combine control system; combine feed quantity; delay problem; fuzzy neural network; fuzzy rule base construction; predictive system; Agricultural machinery; Axles; Feeds; Fuzzy control; Fuzzy neural networks; Sensors; Torque; Combine harvester; Feed quantity; Fuzzy Neural Network; Predictive control;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Fuzzy Systems and Knowledge Discovery (FSKD), 2011 Eighth International Conference on
Conference_Location :
Shanghai
Print_ISBN :
978-1-61284-180-9
Type :
conf
DOI :
10.1109/FSKD.2011.6019644
Filename :
6019644
Link To Document :
بازگشت