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Adaptive Control Algorithm Improving the Stability of Micro Force Measurement System

  • Yelong Zheng
  • Xiaoli Yang
  • Meirong Zhao
  • Tao Guan
  • Meihua Jiang
Conference paper
Part of the Lecture Notes in Electrical Engineering book series (LNEE, volume 246)

Abstract

Based on the electrostatics principle, the measurement and realization of micro forces in the order of 10-6 N to 10-4 N (the resolution is 10-8 N) can be realized and it can be traced back to the SI such as length, voltage, capacitance, etc. Because the stiffness and damping ratio of the system are very small, both the external interference and the parameter variation would make the system unstable so that it is hardly to make the system get optimal by using the traditional PID control algorithm. This dissertation introduces an adaptive control algorithm based on minimum variance. Adjust the parameter values of the controller continuously to make the transient response and the output of the control object get optimal when the measurement system working. The system performance is tested by measuring standard weights of 5, 10 and 20 mg. The result shows that it can not only speed up the convergence but also reduce residual vibration, decreasing variance to 0.01 μm.

Keywords

Electrostatic force Traceability Adaptive Control Measurement Minimum variance 

Notes

Acknowledgements

This work was supported by National Natural Science Foundation (No. 51175377) and Tianjin Natural Science Foundation (No. 12JCQNJC02700).

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Copyright information

© Springer International Publishing Switzerland 2014

Authors and Affiliations

  • Yelong Zheng
    • 1
  • Xiaoli Yang
    • 2
  • Meirong Zhao
    • 1
  • Tao Guan
    • 1
  • Meihua Jiang
    • 1
  1. 1.State Key Laboratory of Precision Measuring Technology and InstrumentsTianjin UniversityTianjinChina
  2. 2.China Petroleum Technology & Development CorporationBeijingChina

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