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Study of Dynamic Decoupling Method for Multi-axis Sensor Based on Niche Genetic Algorithm

  • Ding Mingli
  • Dai Dongxue
  • Wang Qi
Conference paper
Part of the Lecture Notes in Computer Science book series (LNCS, volume 4304)

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.

Keywords

Dynamic Coupling Recursive Less Square Sensor Model System Identification Method Dynamic Decoupling 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

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Copyright information

© Springer-Verlag Berlin Heidelberg 2006

Authors and Affiliations

  • Ding Mingli
    • 1
  • Dai Dongxue
    • 1
  • Wang Qi
    • 1
  1. 1.Dept. of Automatic Test and ControlHarbin Institute of TechnologyHarbinChina

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