Research of predictive system for feed quantity of combine based on fuzzy neural network

• Published in: 2011 Eighth International Conference on Fuzzy Systems and Knowledge Discovery (FSKD) Vol. 2; pp. 863 - 867
• Main Authors: Jin Chen, Shiyu Zheng, Shijie Lv, Yuelan Zheng, Yaoming Li
• Format: Conference Proceeding
• Language: English
• Published: IEEE 01-07-2011
• Subjects: Agricultural machinery; Axles; Combine harvester; Feed quantity; Feeds; Fuzzy control; Fuzzy Neural Network; Fuzzy neural networks; Predictive control; Sensors; Torque
• ISBN: 9781612841809; 1612841805
• DOI: 10.1109/FSKD.2011.6019644

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.