Title :
Precise angle-measuring system based on data fusion skill by applying BP neural network
Author :
Zhu, Yueqing ; Zhang, Zhili ; Tan, Lilong
Author_Institution :
Second Artillery Eng. Coll., Xi´´an, China
Abstract :
The inclined status of platform of optical equipment is significant for the measuring work of the equipment. Traditional way in measuring and adjusting the inclined status of optical platform was low in precise and speed, so a set of precise angle-measuring system was designed to solve the problem. Two orthogonal electronic tilt sensors are used to measure the tilt angle. Sampling precision of sensor output voltage was improved by applying median filter. Moreover, for eliminating the affection caused by environment temperature, BP neural network was adopted to fuse the output voltage signal and environment temperature signal. Experiment result shows that the real-time measuring system is significant in improving the equipment to be more intelligent with high measuring speed and precision.
Keywords :
angular measurement; backpropagation; computerised instrumentation; median filters; neural nets; optical sensors; real-time systems; sensor fusion; signal sampling; BP neural network; angle-measuring system; data fusion; environment temperature; median filter; optical equipment; orthogonal electronic tilt sensor; real-time measuring system; Goniometers; Intelligent sensors; Neural networks; Optical computing; Optical design; Optical filters; Optical sensors; Temperature sensors; Velocity measurement; Voltage; BP neural network; angle-measuring; data fusion; median filter; platform;
Conference_Titel :
Electronic Measurement & Instruments, 2009. ICEMI '09. 9th International Conference on
Conference_Location :
Beijing
Print_ISBN :
978-1-4244-3863-1
Electronic_ISBN :
978-1-4244-3864-8
DOI :
10.1109/ICEMI.2009.5274554
