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Accurate Adaptive Compensation Method for Mechanical Structure Error of the Blade Measuring System

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  • Wei Shao
  • Peng Peng
  • Awei Zhou
  • Quanquan Zhu
  • Di Zhao

Abstract

In view of the high precision requirement for mechanical structure of aeronautical blade measuring system, this paper proposes a laser interferometer to measure the error of the spatial nodes of the measuring system based on a comprehensive analysis of domestic and foreign error compensation methods for the measuring system. The optimized algorithm backpropagation (BP) neural network (OA-BPNN) compensation method is utilized to adaptively compensate for the systematic error of the mechanical system. Compared with the traditional polynomial fitting and genetic algorithm BP neural network (GA-BPNN) algorithm, the results show that the OA-BPNN algorithm is characterized by the best adaptability, precision, and efficiency for the adaptive error compensation. The spatial errors in the XYZ directions are reduced from 10.9, 60.1, and 84.2 μ m to 1.3, 4.0, and 2.4 μ m, respectively. The method is of great theoretical significance and practical value.

Suggested Citation

  • Wei Shao & Peng Peng & Awei Zhou & Quanquan Zhu & Di Zhao, 2018. "Accurate Adaptive Compensation Method for Mechanical Structure Error of the Blade Measuring System," Mathematical Problems in Engineering, Hindawi, vol. 2018, pages 1-10, October.
    • Handle: RePEc:hin:jnlmpe:7527392
    DOI: 10.1155/2018/7527392
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