Authors

Ronglin Wang, Baochun Lu, Yuanlong Hou, Qiang Gao

Abstract

In order to achieve high motion accuracy and better robustness of the rocket launcher position servo system driven by a permanent magnet synchronous motor, a passivity-based controller based on improved active disturbance rejection control is proposed in this article. The convenient method of interconnection and damping assignment and passivity-based control is adopted to establish the port-controlled Hamiltonian system with dissipation model of permanent magnet synchronous motor. To further enhance the robustness and adaptability of the traditional active disturbance rejection controller, an improved active disturbance rejection control strategy–based radical basis function neural network is introduced to on-line update the proportional and derivative gains of improved active disturbance rejection controller. The results of numerical simulation and bench test indicate that the proposed improved active disturbance rejection control passivity–based control algorithm has advantages of smaller overshoot, fast response, small steady-state error, and strong robustness. It proves that the proposed control scheme is effective and suitable.

Citation

  • Journal: Advances in Mechanical Engineering
  • Year: 2018
  • Volume: 10
  • Issue: 3
  • Pages:
  • Publisher: SAGE Publications
  • DOI: 10.1177/1687814018766741

BibTeX

@article{Wang_2018,
  title={{Passivity-based control for rocket launcher position servo system based on improved active disturbance rejection technology}},
  volume={10},
  ISSN={1687-8140},
  DOI={10.1177/1687814018766741},
  number={3},
  journal={Advances in Mechanical Engineering},
  publisher={SAGE Publications},
  author={Wang, Ronglin and Lu, Baochun and Hou, Yuanlong and Gao, Qiang},
  year={2018}
}

Download the bib file

References

  • Lin, S. & Zhang, W. An adaptive sliding-mode observer with a tangent function-based PLL structure for position sensorless PMSM drives. International Journal of Electrical Power & Energy Systems 88, 63–74 (2017) – 10.1016/j.ijepes.2016.12.006
  • Du, B., Wu, S., Han, S. & Cui, S. Application of Linear Active Disturbance Rejection Controller for Sensorless Control of Internal Permanent-Magnet Synchronous Motor. IEEE Trans. Ind. Electron. 63, 3019–3027 (2016) – 10.1109/tie.2016.2518123
  • Hou RM, Shock Vib (2016)
  • Apte, A. A., Joshi, V. A., Walambe, R. A. & Godbole, A. A. Speed Control of PMSM Using Disturbance Observer. IFAC-PapersOnLine 49, 308–313 (2016) – 10.1016/j.ifacol.2016.03.071
  • Chai HW, Fire Control Comm Control (2011)
  • Gao, Q. et al. A novel active disturbance rejection-based control strategy for a gun control system. J Mech Sci Technol 26, 4141–4148 (2012) – 10.1007/s12206-012-0879-4
  • Rong, Z. & Huang, Q. A new PMSM speed modulation system with sliding mode based on active-disturbance-rejection control. J. Cent. South Univ. 23, 1406–1415 (2016) – 10.1007/s11771-016-3193-y
  • Li Q, Proceedings of the conference and expo transportation electrification Asia-Pacific (ITEC Asia-Pacific)
  • Xu, W., Jiang, Y. & Mu, C. Novel Composite Sliding Mode Control for PMSM Drive System Based on Disturbance Observer. IEEE Trans. Appl. Supercond. 26, 1–5 (2016) – 10.1109/tasc.2016.2611623
  • Hicham, F., Yousfi, D., Youness, A., Larbi, E. & Rahim, N. Sliding-Mode Speed Control of PMSM with Fuzzy-Logic Chattering Minimization—Design and Implementation. Information 6, 432–442 (2015) – 10.3390/info6030432
  • Qian, R., Luo, M. & Sun, P. Improved nonlinear sliding mode control based on load disturbance observer for permanent magnet synchronous motor servo system. Advances in Mechanical Engineering 8, (2016) – 10.1177/1687814016642670
  • Belabbes, B., Lousdad, A., Meroufel, A. & Larbaoui, A. Simulation and Modelling of Passivity Based Control of PMSM Under Controlled Voltage. Journal of Electrical Engineering 64, 298–304 (2013) – 10.2478/jee-2013-0043
  • Gai JT, Proceedings of the 17th international conference on electrical machines and systems (ICEMS)
  • Qi, L. & Shi, H. Adaptive position tracking control of permanent magnet synchronous motor based on RBF fast terminal sliding mode control. Neurocomputing 115, 23–30 (2013) – 10.1016/j.neucom.2012.11.018
  • Wu, D., Sun, X., Wang, W. & Shi, P. Robust predictive control for networked control and application to DC‐motor control. IET Control Theory & Appl 8, 1312–1320 (2014) – 10.1049/iet-cta.2013.0901
  • Mynar, Z., Vesely, L. & Vaclavek, P. PMSM Model Predictive Control With Field-Weakening Implementation. IEEE Trans. Ind. Electron. 63, 5156–5166 (2016) – 10.1109/tie.2016.2558165
  • Mandra, S., Galkowski, K. & Aschemann, H. Robust guaranteed cost ILC with dynamic feedforward and disturbance compensation for accurate PMSM position control. Control Engineering Practice 65, 36–47 (2017) – 10.1016/j.conengprac.2017.05.004
  • El-Sousy, F. F. M. Hybrid ${ m H}^{\infty}$-Based Wavelet-Neural-Network Tracking Control for Permanent-Magnet Synchronous Motor Servo Drives. IEEE Trans. Ind. Electron. 57, 3157–3166 (2010) – 10.1109/tie.2009.2038331
  • Jon, R., Wang, Z., Luo, C. & Jong, M. Adaptive robust speed control based on recurrent elman neural network for sensorless PMSM servo drives. Neurocomputing 227, 131–141 (2017) – 10.1016/j.neucom.2016.09.095
  • Han, J. From PID to Active Disturbance Rejection Control. IEEE Trans. Ind. Electron. 56, 900–906 (2009) – 10.1109/tie.2008.2011621
  • Sira-Ramirez, H., Linares-Flores, J., Garcia-Rodriguez, C. & Contreras-Ordaz, M. A. On the Control of the Permanent Magnet Synchronous Motor: An Active Disturbance Rejection Control Approach. IEEE Trans. Contr. Syst. Technol. 22, 2056–2063 (2014) – 10.1109/tcst.2014.2298238
  • Zheng Y, Acta Armament (2014)
  • Ortega, R., van der Schaft, A., Maschke, B. & Escobar, G. Interconnection and damping assignment passivity-based control of port-controlled Hamiltonian systems. Automatica 38, 585–596 (2002)10.1016/s0005-1098(01)00278-3
  • Petrovic, V., Ortega, R. & Stankovi, A. M. Interconnection and damping assignment approach to control of PM synchronous motors. IEEE Trans. Contr. Syst. Technol. 9, 811–820 (2001) – 10.1109/87.960344
  • Hou LM, Control Decis (2013)
  • Yu, V. F. & Hu, K.-J. An Integrated Approach for Prioritizing Key Factors in Improving the Service Quality of Nursing Homes. Mathematical Problems in Engineering 2013, 1–12 (2013) – 10.1155/2013/563723
  • Gao ZQ, Proceedings of the American control conference
  • Han JQ, Active disturbance rejection control technique—the technique for estimating and compensating the uncertainties (2009)
  • Zheng Q, Proceedings of the 29th Chinese control conference