Details

Autor(en) / Beteiligte

• Zheying Song
• Chaoying Liu
• Xueling Song
• Yingbao Zhao
• Jun Wang

Titel

A virtual level temperature compensation system based on information fusion technology

Ist Teil von

• 2007 IEEE International Conference on Robotics and Biomimetics (ROBIO), 2007, p.1529-1533

Ort / Verlag

IEEE

Erscheinungsjahr

2007

Link zum Volltext

• IEEE_Xplore

Quelle

IEEE/IET Electronic Library (IEL)

Beschreibungen/Notizen

• The output of ultrasonic object-location meter changes with the environmental temperature. In order to eliminate such a situation, a new information fusion algorithm based on neural network is presented. A virtual ultrasonic object-location measurement temperature compensation system is realized based on a method of the hybrid programming of MATLAB and LabVIEW with MATLAB Script node. A improved BP algorithm - LM algorithm is used to train the neural network, it can improve the data's convergent speed. Experimental results show that the method can eliminates impacts of temperature to object-location and improves the accuracy of sensor. This virtual object-location measurement system based on BP neural network is of wide and factual application value.