Abstract
The dynamic coupling of a multi-axis sensor is defined as a situation that the output signal of one direction includes the additional value, which affected by the input in other direction. Obviously, the dynamic coupling error will decrease the sensor measurement precision seriously. In this paper, a new multi-axis sensor dynamic decoupling method is proposed based on a niche genetic algorithm (NGA). 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 can avoid the high precision requirement to the sensor model in the traditional dynamic decoupling method. Finally, the simulation results show the correctness and the affectivity of the proposed method.
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References
Kejun, X., Ming, Y., Ying, Z.: A Kind of Dynamic Decoupling Method for Wrist Force Sensor. Journal of Applied Science 17(1), 39–44 (1999)
Kejun, X., Cheng, L.: Dynamic Decoupling and Compensation Methods of Multi-axis Force Sensors. IEEE Transactions on Instrumentation and Measurement 49(5), 935–941 (2000)
Kejun, X., Cheng, L.: The Stationary and Dynamic United Decoupling and Compensating Method in a Multi-axis Force Sensor. Journal of Applied Science 18(3), 189–191 (2000)
Guomin, S., Weigong, Z., Yujian, Z.: Study of Dynamic Decoupling of Sensor Based on Diagonal Predominance Compensation. Chinese Journal of Scientific Instrument 22(4), 165–167 (2001)
Deb, K., Goldberg, D.E.: An Investigation of Niche and Species Formation in Genetic Function Optimization. In: Proceedings of the Third ICGA, San Mateo, pp. 42–50 (1989)
Kim, J.-K., Cho, D.-H., Jung, H.-K., Lee, C.-G.: Niching Genetic Algorithm Adopting Restricted Competition Selection Combined With Pattern Search Method. IEEE Transaction on Magnetic 38(2), 1001–1004
Fuzhen, X., Yan, T., Meng, L.: The Design of a Multivariable Dynamic Precompensation Matrix Based on GA. Industry Instrumentation and Automation 5, 68–71 (2002)
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© 2006 Springer-Verlag Berlin Heidelberg
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Mingli, D., Dongxue, D., Qi, W. (2006). Study of Dynamic Decoupling Method for Multi-axis Sensor Based on Niche Genetic Algorithm. In: Sattar, A., Kang, Bh. (eds) AI 2006: Advances in Artificial Intelligence. AI 2006. Lecture Notes in Computer Science(), vol 4304. Springer, Berlin, Heidelberg. https://doi.org/10.1007/11941439_82
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DOI: https://doi.org/10.1007/11941439_82
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-49787-5
Online ISBN: 978-3-540-49788-2
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