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Metrology and Measurement Systems

The Journal of Committee on Metrology and Scientific Instrumentation of Polish Academy of Sciences

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IMPACT FACTOR 2016: 1.598

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ISSN
2300-1941
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Volume 22, Issue 1 (Mar 2015)

Issues

The Static Unbalance Analysis and Its Measurement System For Gimbals Axes of an Inertial Stabilization Platform

Hui Yang
  • School of Instrumentation Science and Opto-electronics Engineering, Beihang University, Beijing 100191, China
  • Other articles by this author:
  • De Gruyter OnlineGoogle Scholar
/ Yan Zhao
  • School of Instrumentation Science and Opto-electronics Engineering, Beihang University, Beijing 100191, China
  • Other articles by this author:
  • De Gruyter OnlineGoogle Scholar
/ Min Li
  • School of Instrumentation Science and Opto-electronics Engineering, Beihang University, Beijing 100191, China
  • Other articles by this author:
  • De Gruyter OnlineGoogle Scholar
/ Falin Wu
Published Online: 2015-02-20 | DOI: https://doi.org/10.1515/mms-2015-0002

Abstract

To reduce the influence of the static unbalance on an infrared missile guidance system, a new static unbalance measure system for the gimbals axes has been developed. Considering the coupling effects caused by a mass eccentricity, the static balance condition and measure sequence for each gimbal axis are obtained. A novel static unbalance test approach is proposed after analyzing the dynamic model of the measured gimbal axis. This approach is to drive the measured gimbal axis to do sinusoidal reciprocating motion in a small angle and collect its drive currents in real time. Then the static unbalance of the measured gimbal axis can be obtained by the current multi-cycle integration. Also a measuring system using the proposed approach has been developed. A balanced simulator is used to verify the proposed approach by the load and repeatability tests. The results show the proposed approach enhances the efficiency of the static unbalance measurement, and the developed measuring system is able to achieve a high precision with a greater stability.

Keywords: inertial stabilization platform; mass eccentricity; angular position turntable; dynamical model; leastsquare fitting

References

  • [1] Hilkert, J. M. (2008). Inertially stabilized platform technology concepts and principles. Control Systems, IEEE, 28(1), 26‒46.Web of ScienceGoogle Scholar

  • [2] Nguyen, H. Q. P., Kang, H. J., Suh, Y. S., Elle, O. J. (2012). A platform stabilization algorithm based on feed forward visual-inertial servoing. International Journal of Precision Engineering and Manufacturing,13(4), 517‒526.CrossrefWeb of ScienceGoogle Scholar

  • [3] Abdo, M. M., Vali, A. R., Toloei, A. R., Arvan, M. R. (2014). Stabilization loop of a two axes gimbal system using self-tuning PID type fuzzy ontroller. ISA Transactions, 53, 591-602.Web of ScienceCrossrefGoogle Scholar

  • [4] Ji, W., Li, Q., Xu, B., Zhao, D., Fang, S. X. (2011). Adaptive fuzzy PID composite control with hysteresis-band switching for line of sight stabilization servo system. Aerospace Science and Technology, 15, 25‒32.CrossrefWeb of ScienceGoogle Scholar

  • [5] Masten, M. K. (2008). Inertially stabilized platforms for optical imaging systems. Control Systems, IEEE, 28(1), 47‒64.Web of ScienceGoogle Scholar

  • [6] Kennedy, P. J., Kennedy, R. L. (2003). Direct versus indirect line of sight (LOS) stabilization. Control Systems Technology, IEEE Transactions on, 11(1), 3‒15.Google Scholar

  • [7] Gajda, J., Sroka, R., Żegleń, T. (2007). Accuracy analysis of WIM systems calibrated using pre-weighed vehicles method. Metrology and Measurement Systems,14(4), 517‒527.Google Scholar

  • [8] Yu, S., Zhao,Y. Z. (2010). A New Measurement Method for Unbalanced Moments in a Two-axis Gimbaled Seeker. Chinese Journal of Aeronautics, 23(1), 117‒122.CrossrefWeb of ScienceGoogle Scholar

  • [9] Kim, K. S. (2002). Eccentricity compensation in optical storage systems: Analysis and experiments.Japanese journal of applied physics, 41(10R), 6302.CrossrefGoogle Scholar

  • [10] Kim, S., Ishimoto, T., Nakaoki, A., Kawakubo, O. (2008). Eccentricity Compensation Mechanism for Improving Reliability of Removable Performance in Near-Field Optical Disc Drive System. Japanese Journal of Applied Physics, 47(7), 5953‒5954.CrossrefWeb of ScienceGoogle Scholar

  • [11] Ebrahimi, B. M., Etemadrezaei, M., Faiz,J. (2011). Dynamic eccentricity fault diagnosis in round rotor synchronous motors. Energy Conversion and Management, 52 (5), 2092‒2097.Web of ScienceCrossrefGoogle Scholar

  • [12] Penoyer, R. F. (2004). Automatic Torque Balance for Magnetic Anisotropy Measurements. Review of Scientific Instruments, 30 (8), 711‒714.CrossrefGoogle Scholar

  • [13] Zhou, S., Stephen, Dyer, S. W., Shin, K. K., Shi, J., Ni, J. (2004). Extended Influence Coefficient Method for Rotor Active Balancing During Acceleration. Journal of Dynamic Systems, Measurement, and Control, 126(1), 219‒223.Google Scholar

  • [14] Kim, J. S., Lee S. H. (2003). The stability of active balancing control using influence coefficients for a variable rotor system. International Journal of Advanced Manufacturing Technology, 22(7-8),562-567.CrossrefGoogle Scholar

  • [15] Moon, J. D., Kim, B. S., Lee, S. H. (2006). Development of the active balancing device for high-speed spindle system using influence coefficients. International Journal of Machine Tools and Manufacture, 46 (9), 978-987.Google Scholar

  • [16] Han, D. J. (2007). Generalized modal balancing for non-isotropic rotor systems. Mechanical Systems and Signal Processing, 21(5), 2137‒2160.Web of ScienceCrossrefGoogle Scholar

  • [17] Deepthikumar, M. B., Sekhar, A. S., Srikanthan, M. R. (2013). Modal balancing of flexible rotors with bow and distributed unbalance. Journal of Sound and Vibration, 332(24), 6216‒6233.Web of ScienceGoogle Scholar

  • [18] Xu, B. G., Qu, L. S. (2001). A new practical modal method for rotor balancing. Proceedings of The Institution of Mechanical Engineers Part C: Journal of Mechanical Engineering Science, 215(2), 179‒189.CrossrefGoogle Scholar

  • [19] Antonov, I. L. (2009). The influence of the inertial properties of the parts of gimbals on the dynamics of a rigid body. Journal of Applied Mathematics and Mechanics, 73(6), 631-636.Web of ScienceGoogle Scholar

  • [20] Chung, J., Ro, D. S. (1999). Dynamic analysis of an automatic dynamic balancer for rotating mechanisms.Journal of Sound and vibration, 228(5), 1035‒1056.CrossrefGoogle Scholar

  • [21] Zhang, X. L., Wen, B. C., Zhao C. Y. (2014). Vibratory synchronization and coupling dynamic characteristics of multiple unbalanced rotors on a mass-spring rigid base. International Journal of Non- Linear Mechanics, 60, 1-8.Web of ScienceCrossrefGoogle Scholar

  • [22] Masry, S. E. (2003). Accuracy of Rotation around an Axis. Review of Scientific Instruments, 39(12), 1825‒1828.CrossrefGoogle Scholar

  • [23] Lin, Y. L., Chu, F.L. (2010). The dynamic behavior of a rotor system with a slant crack on the shaft.Mechanical Systems and Signal Processing, 24 (2), 522-545.CrossrefGoogle Scholar

  • [24] Chasalevris, A., Papadopoulos, C. (2014). A novel semi-analytical method for the dynamics of nonlinear rotor-bearing systems. Mechanism and Machine Theory, 72, 39‒59.Web of ScienceCrossrefGoogle Scholar

  • [25] Santolaria,J., Conte, J., Pueo, M., Javierre, C.( 2014). Rotation error modeling and identification for robot kinematic calibration by circle point method. Metrology and Measurement Systems, 21(1), 85‒98.CrossrefWeb of ScienceGoogle Scholar

  • [26] Vibet, C. (1995). Dynamics modeling of Lagrangian mechanisms from inertial matrix elements.Computer methods in applied mechanics and engineering, 123(1), 317‒326.CrossrefGoogle Scholar

  • [27] Ardeleanu, A., Ramos, P. (2011). Real time PC implementation of power quality monitoring system based on multiharmonic least-squares fitting. Metrology and Measurement Systems, 18(4), 543‒556. Web of ScienceCrossrefGoogle Scholar

About the article

Received: 2014-05-09

Accepted: 2014-09-22

Published Online: 2015-02-20

Published in Print: 2015-03-01


Citation Information: Metrology and Measurement Systems, ISSN (Online) 2300-1941, DOI: https://doi.org/10.1515/mms-2015-0002.

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© Polish Academy of Sciences. This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 3.0 License. BY-NC-ND 3.0

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