Title :
A novel method of dynamic decoupling for multi-axis sensor
Author_Institution :
Sch. of Comput. & Inf. Eng., Harbin Univ. of Commerce, Harbin, China
Abstract :
The error of dynamic coupling of a multi-axis sensor is a key factor of precision affection. In this paper, a new multi-axis sensor dynamic decoupling method based on a niche genetic algorithm is proposed. The method first gets the calibration data of the multi-sensor, and then uses the system identification method and the niche genetic algorithm to calculate and optimize the decoupling network based on the analysis method of transform function matrix. In addition, it also avoids the high precision requirement of the sensor model in the traditional dynamic decoupling method. Finally, the simulation results show the method is correct and effective.
Keywords :
genetic algorithms; matrix algebra; sensor fusion; dynamic decoupling method; multiaxis sensor; niche genetic algorithm; precision affection; system identification method; transform function matrix; Algorithm design and analysis; Calibration; Genetic algorithms; Optimization methods; Output feedback; Performance analysis; Production; Sensor systems; System identification; Testing; dynamic decoupling; multi-axis sensor; niche genetic algorithm;
Conference_Titel :
Test and Measurement, 2009. ICTM '09. International Conference on
Conference_Location :
Hong Kong
Print_ISBN :
978-1-4244-4699-5
DOI :
10.1109/ICTM.2009.5412977
