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Parameter identification of inertially stabilized platforms using current command design

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Abstract

Accurate parameter identification is essential when designing controllers for inertially stabilized platforms (ISPs). But traditional identification methods suffer from observation measurement noise and operating restrictions of ISPs. To address this issue, a novel identification method based on current command design and multilevel coordinate search (MCS) algorithm without any higher order measurement differentiations was proposed. The designed current commands were adopted to obtain parameter decoupled models with the platform operating under allowable conditions. MCS algorithm was employed to estimate the parameters based on parameter decoupled models. A comparison experiment between the proposed method and non-linear least square method was carried out and most of the relative errors of identified parameters obtained by the proposed method were below 10%. Simulation and experiment based on identified parameters were conducted. A velocity control structure was also developed with disturbance observer (DOB) for application in disturbance compensation control system of an ISP. Experimental results show that the control scheme based on the identified parameters with DOB has the best disturbance rejection performance. It reduces the peak to peak value (PPV) of velocity error integral to 0.8 mrad which is much smaller than the value (10 mrad) obtained by the single velocity controller without DOB. Compared with the control scheme based on sweep model with DOB compensation, the proposed control scheme improves the PPV of velocity error integral by 1.625 times.

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References

  1. HILKERT J M. Inertially stabilized platform technology [J]. IEEE Control Systems Magazine, 2008, 28(1): 26–46.

    Article  MathSciNet  Google Scholar 

  2. Michael K M. Inertially stabilized Platform for optical imaging systems [J]. IEEE Control Systems Magazine, 2008, 28(1): 47–64.

    Article  MathSciNet  Google Scholar 

  3. FAN Da-peng, ZHANG Zhi-yong, FAN Shi-xun, LI Yan. Research of basic principles of E-O stabilization and tracking devices [J]. Optics and Precision Engineering, 2006, 14(4): 673–680. (in Chinese)

    Google Scholar 

  4. LIU Hong-cai. System identification and parameter Estimation [M]. Beijing: Metallurgical Industry Press, 1996, 88–90.(in Chinese)

    Google Scholar 

  5. SU Y X, ZHENG C H, MUELLER P C, DUAN B Y. A simple improved velocity estimation for low-speed regions based on position measurement only. IEEE Trans., Control Systems Technology, 2006, 14: 937–942.

    Article  Google Scholar 

  6. DUPUIS A, GHRIBI M, KADDOURI A. Multiobjective genetic estimation of DC motor parameters and load torque [C]// IEEE International Conference on Industrial Technology. Hammamet: IEEE, 2004: 1511–1514.

    Google Scholar 

  7. DUB M, JALOVECKÝ R. DC motor experimental parameter identification using the Nelder-Mead simplex method [C] // Power Electronics and Motion Control Conference (EPE/PEMC). Ohrid: IEEE, 2010, S4-9–S4-11.

    Google Scholar 

  8. UDOMSUK S, AREERAK K L, AREERAK K N, SRIKAEW A. Parameters identification of separately excited DC motor using adaptive tabu search technique [C] // Advances in Energy Engineering (ICAEE). Beijing: IEEE, 2010, 48–51.

    Google Scholar 

  9. WEI Wu. DC motor identification using speed step responses [C] // American Control Conference (ACC). Baltimore: IEEE, 2010: 1937–1941

    Google Scholar 

  10. RAMAKRISHNAN R, ISLAM R, ISLAM M, SEBASTIAN T. Real time estimation of parameters for controlling and monitoring permanent magnet synchronous motors [C] // IEEE International Electric Machines and Drives Conference. Miami: IEEE, 2009: 1194–1199.

    Google Scholar 

  11. SAAB S S, KAED-BEY R A. Parameter identification of a DC motor: An experimental approach [C] // IEEE International Conference on Electronics, Circuits and Systems. Malta: IEEE, 2001: 981–984.

    Google Scholar 

  12. TAKAHASHI H, KENJO T, TAKEUCHI H. A real-time estimation method of brushless DC servomotor parameters [C] // Power Conversion Conference. Nagaoka: IEEE, 1997: 73–678.

    Google Scholar 

  13. BASTIEN B, EMMANUEL G, DOMINIQUE B, EMMANEUL D. An identification method for static and coulomb friction coefficients [J]. International Journal of Control, Automation, and Systems, 2009, 7(2): 305–310.

    Article  Google Scholar 

  14. CORTÉS-ROMERO J A, LUVIANO-JUÁREZ A, ÁLVAREZ-SALAS R. Fast identification and control of an uncertain Brushless DC motor using algebraic methods [C] // Power Electronics Congress (CIEP). San Luis Potosi: IEEE, 2010: 9–14.

    Chapter  Google Scholar 

  15. LUVIANO-JUAREZ A, CORTES-ROMERO J, SIRA-RAMIREZ H. Algebraic identification and control of an uncertain DC motor using the delta operator approach [C] // Electrical Engineering Computing Science and Automatic Control (CCE), Tuxtla Gutierrez: IEEE, 2010: 82–487.

    Google Scholar 

  16. GARRIDO R, CONCHA A. Combining Algebraic Identification and a Least Squares method for DC servomechanism identification [C] // Electrical Engineering Computing Science and Automatic Control (CCE). Tuxtla Gutierrez, IEEE, 2010: 8–33.

    Google Scholar 

  17. PANG Xin-liang. A study on key technology of digital control of airborne electro-optical stabilization platform system [D]. Changsha: National University of Defense Technology, 2007. (in Chinese)

    Google Scholar 

  18. CHEN Bo-shi. Electric drive automatic control system-motion control system [M]. Beijing: Mechanical Industry Press, 2003: 52–59. (in Chinese)

    Google Scholar 

  19. HU Hao-jun. Line-of-sight stabilization of acquisition, tracking and pointing system on moving bed [D]. Changsha: National University of Defense Technology, 2005. (in Chinese)

    Google Scholar 

  20. WEN Xi-sheng, CHEN Xun, XU Yong-cheng, et al. Modeling and dynamic analysis of mechanical system [M]. Beijing: Science Press, 2004: 9–70. (in Chinese)

    Google Scholar 

  21. DA SILVA A R Parameters identification and failure detection applied to space robotic manipulators [D]. Sao José dos Campos: Instituto Nacional De Pesquisas Espaciais, 2002.

    Google Scholar 

  22. HUYER W, EUMAIER Arnold. Global optimization by multilevel coordinate search [J]. Journal of Global Optimization, 1999, 14(4): 31–355.

    MathSciNet  Google Scholar 

  23. LEMKIN M, YANG P H, HUANG A C. Velocity estimation from widely spaced encoder pulses [C] // Proceedings of American Control Conference. Seattle: IEEE, 1995: 998–1002.

    Google Scholar 

  24. TAKAJI U, YOICHI H. Robust speed control of DC servomotors using modern two degrees-of-freedom controller design [J]. IEEE Transactions on Industrial Electronics. 1991, 38(5): 363–368.

    Article  Google Scholar 

  25. FAN Shi-xun, FAN Da-peng, HONG Hua-jie, ZHANG Zhi-yong. Robust tracking control for micro machine tools with load uncertainties [J]. Journal of Central South University, 2012 19: 117–127.

    Article  Google Scholar 

  26. WU Li-qiang, LIN Hao, HAN Jin-qing. Study of tracking differentiator on filtering [J]. Journal of System Simulation, 2004, 16(4): 651–653. (in Chinese)

    Google Scholar 

  27. SADHU S, GHOSHAL T K. Sight line rate estimation in missile seeker using disturbance observer-based technique [J]. IEEE Transactions on Control Systems Technology, 2011, 19(2), 449-454.

  28. LEE Seung-hi, KANG Hyun-jae, CHUNG Chung-choo. Robust fast seek control of a servo track writer using a state space disturbance observer [J]. IEEE Transactions on Control Systems Technology, 2012, 20(2): 346–355

    Article  Google Scholar 

  29. ZHANG Zhi-yong, FAN Da-peng, FAN Shi-xun. Servo system design for E-O stabilization and tracking devices [J]. Optics and Precision Engineering, 2006, 14(4): 681–688. (in Chinese)

    Google Scholar 

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Correspondence to Zhi-qiang Li  (黎志强).

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Foundation item: Project(50805144) supported by the National Natural Science Foundation of China

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Li, Zq., Zhang, Zy., Zhou, Qk. et al. Parameter identification of inertially stabilized platforms using current command design. J. Cent. South Univ. 20, 342–353 (2013). https://doi.org/10.1007/s11771-013-1494-y

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  • DOI: https://doi.org/10.1007/s11771-013-1494-y

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