Abstract
This paper presents filter design techniques for the improved estimation of the velocity of the gimbal axis in a control moment gyro (CMG) actuator. In the motion control applications, the velocity sensor is not available but the estimation filters are often used due to the cost of the sensor. The first derivative filter technique is used most, but the filtering performance is not reliable for the accuracy requirement. The velocity observer is designed to estimate the velocity based on the modelling technique by the recursive least squares (RLS) method. Experimental results of estimating the velocity of the gimbal system in a CMG are conducted. The estimation performances are compared through the experimental data.
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References
Gollomp, B.: Gyroscopes. IEEE Instrum. Meas. Mag. 4(3), 49–52 (2001)
Luenberger, D.: Observer for multivariable systems. IEEE Trans. Autom. Control 11(2), 190–197 (1966)
Afri, C., Andrieu, V., Bako, V., Dufour, P.: State and parameter estimation: a nonlinear Luenberger observer approach. IEEE Trans. Autom. Control 62(2), 973–980 (2017)
Reichbach, N., Kuperman, A.: Recursive-squares-based real-time estimation of supercapacitor parameters. IEEE Trans. Energy Convers. 31(2), 810–812 (2016)
Tanelli, M., Piroddi, L., Savaresi, S.M.: Real-time identification of tire-road friction conditions. IET Control Theory Appl. 3(7), 891–906 (2009)
Ljung, L.: Perspectives on system identification. Ann. Rev. Control 34(1), 1–12 (2010)
Lee, S., Jung, S.: RLS model identification-based robust control for gimbal axis of control moment gyroscope. In: IEEE, pp. 584–589. AIM (2017)
Acknowledgements
This research has been supported by 2017 National Research Foundation of Korea (grant 2016R1A2B2012031).
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Lee, S., Jung, S. (2019). An Observer Design Technique for Improving Velocity Estimation of a Gimbal System. In: Kim, JH., et al. Robot Intelligence Technology and Applications 5. RiTA 2017. Advances in Intelligent Systems and Computing, vol 751. Springer, Cham. https://doi.org/10.1007/978-3-319-78452-6_28
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DOI: https://doi.org/10.1007/978-3-319-78452-6_28
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