Abstract
In the operation of some satellite systems, single gimbal control moment gyroscope (SGCMG) is always applied in the attitude control tasks. The control of SGCMG is mostly driven by using permanent magnet synchronous motor (PMSM). Due to the influence of multi source disturbances, it is a difficult task to establish a high-precision gimbal servo system model. In this paper, a model free auxiliary control strategy based on heuristic dynamic programming (HDP) method is proposed. The training process of model free auxiliary controller can be implemented by collecting the operation data sets and training the neural networks online. Finally, a comparative simulation experiment is carried out to illustrate the advantages of proposed strategy.
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References
Wei, D., Li, G., Rong, F., Wu, D., Zhang, J.: Design of SGCMG and long life rotor bearing system technology in Tiangong-1. Sci. Sin. Technol. 44(3), 261–268 (2014). https://doi.org/10.1360/092014-18
Su, Y., Zheng, C., Mueller, P.C., Duan, B.: A simple improved velocity estimation for low-speed regions based on position measurements only. IEEE Trans. Control Syst. Technol. 14(5), 937–942 (2006). https://doi.org/10.1109/TCST.2006.876917
Lu, M., Wang, Y., Hu, Y., Liu, L., Su, Nuo.: Composite controller design for PMSM direct drive SGCMG gimbal servo system. In: 2017 IEEE International Conference on Advanced Intelligent Mechatronics (AIM), pp. 106–112. IEEE Press, Munich, Germany (2017). https://doi.org/10.1109/HPDC.2001.945188
Zhang, J., Zhou, D., Gao, Y.: Gimbal control technique and gimbal rate measurement method for the control moment gyro. Aerosp. Control Appl. 34(2), 23–28 (2008). https://doi.org/10.3969/j.issn.1674-1579.2008.02.005
Lu, M., Li, X., Li, Y.: Attenuation of wide margin disturbance fluctuation in SGCMG gimbal servo system. In: 2012 15th International Conference on Electrical Machines and Systems (ICEMS), pp. 1–4. IEEE Press, Sapporo, Japan (2012)
Li, J., Liu, G., Li, H.: Fuzzy control method of gimbal servo system in magnetically suspended rotor System of CMG. Micromotors. 42(5), 35–38 (2009). https://doi.org/10.15934/j.cnki.micromotors.2009.05.013
Lu, M., Zhang, X., Li, Y.: Analysis and control of disturbance torque in SGCMG gimbal servo system. Chin. Space Sci. Technol. 1, 15–208 (2013). https://doi.org/10.3780/J.ISSN.1000-758X.2013.01.003
Ran, C.: Research on a repetitive control method of brushless DC motor. Micromotors. 42(7), 83–84 (2009). https://doi.org/10.15934/j.cnki.micromotors.2009.07.006
Lu, M., Wu, D., Tian, L., Zheng, W., Fu, R,. Hu, Y.: High frequency disturbance torque control strategy for SGCMG gimbal servo system. In: Proceedings of the 33rd Chinese Control Conference, pp. 4153–4156. IEEE Press, Nanjing, China (2014). https://doi.org/10.1109/ChiCC.2014.6895634
Werbos, P.J.: Approximate dynamic programming for real-time control and neural modeling. Handbook of Intelligent Control, pp. 493–526. Van Nostrand Reinhold, USA (1992)
Prokhorov, D.V., Santiago, R.A., Wunsch, D.C.: Adaptive critic designs: a case study for neurocontrol. Neural Netw. 8(9), 1367–1372 (1995). https://doi.org/10.1016/0893-6080(95)00042-9
Mu, C., Zhang, Y., Gao, Z., Sun, C.: ADP-based robust tracking control for a class of nonlinear systems with unmatched uncertainties. IEEE Trans. Syst. Man Cybern.: Syst. 1–12 (2019). https://doi.org/10.1109/TSMC.2019.2895692
Mu, C., Zhang, Y.: Learning-based robust tracking control of quadrotor with time-varying and coupling uncertainties. IEEE Trans. Neural Netw. Learn. Syst. 31(1), 259–273 (2020). https://doi.org/10.1109/TNNLS.2019.2900510
Ni, Z., He. H, Wen, J., Xu, X.: Goal representation heuristic dynamic programming on maze navigation. IEEE Trans. Neural Netw. Learn. Syst. 24(12), 2038–2050 (2013). https://doi.org/10.1109/TNNLS.2013.2271454
He, W., Dong, Y., Sun, C.: Adaptive neural impedance control of a robotic manipulator with input saturation. IEEE Trans. Syst. Man Cybern.: Syst. 46(3), 334–344 (2016). https://doi.org/10.1109/TSMC.2015.2429555
Mu, C., Zhang, Y., Jia, H., He, H.: Energy-storage-based intelligent frequency control of microgrid with stochastic model uncertainties. IEEE Trans. Smart Grid. 11(2), 1748–1758 (2020). https://doi.org/10.1109/TSG.2019.2942770
Werbos, P.J.: Advanced forecasting methods for global crisis warning and models of intelligence. Gen. Syst. Yearbook. 22, 25–38 (1977)
Acknowledgements
This work was supported in part by National Natural Science Foundation of China under Grants 61773284 and 6192100028.
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Zhang, Y., Liang, Z., Zhao, W. (2022). Model Free Auxiliary Control Strategy Based on Heuristic Dynamic Programming for SGCMG Gimbal Servo System. In: Yan, L., Duan, H., Yu, X. (eds) Advances in Guidance, Navigation and Control . Lecture Notes in Electrical Engineering, vol 644. Springer, Singapore. https://doi.org/10.1007/978-981-15-8155-7_181
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DOI: https://doi.org/10.1007/978-981-15-8155-7_181
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