NDLI: Multi-sensor High Frequency Weld Control Based on Particle Filtering and Fuzzy Fusion

Content Provider	IEEE Xplore Digital Library
Author	Gaoyu Zhang Jimin Liang Heng Zhao Wanghai Yang
Copyright Year	2006
Description	Author affiliation: Dept. of Electron. Eng., Xidian Univ., Xi'an (Gaoyu Zhang; Jimin Liang; Heng Zhao; Wanghai Yang)
Abstract	For power control problem in high frequency weld with tube, a control algorithm based on multi-sensor particle filtering and fuzzy fusion is proposed here. For adjust weld power, the signals from the tube walking speed sensor and lossless detection sensor are monitored and fused. Not only the relation between the target control function and the tube walking speed or the weld wound is nonlinear but also the state equation of the speed or the weld wound is nonlinear, the sequential importance resampling Bayesian filtering is used to track and predict the speed and wound. These predictive signals are considered the input of the fuzzy neural network to predict the weld state. The weld power is adjusted according to the weld state prediction so the melted weld or lack weld is avoided. Finally a simulation example is given and a good result is obtained
Starting Page	6283
Ending Page	6287
File Size	276681
Page Count	5
File Format	PDF
ISBN	1424403324
DOI	10.1109/WCICA.2006.1714292
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2006-06-21
Publisher Place	China
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Frequency Welding Fuzzy control Wounds Legged locomotion Sensor fusion Power control Filtering algorithms Monitoring Nonlinear equations high frequency weld multi-sensor particle filtering resampling fusion
Content Type	Text
Resource Type	Article

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