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Volume 2 Issue 1
Jan.  2015

IEEE/CAA Journal of Automatica Sinica

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Article Navigation >  IEEE/CAA Journal of Automatica Sinica  > 2015  >  2(1): 94-101
Jingmei Zhang, Changyin Sun, Ruimin Zhang and Chengshan Qian, "Adaptive Sliding Mode Control for Re-entry Attitude of Near Space Hypersonic Vehicle Based on Backstepping Design," IEEE/CAA J. of Autom. Sinica, vol. 2, no. 1, pp. 94-101, 2015.
Citation: Jingmei Zhang, Changyin Sun, Ruimin Zhang and Chengshan Qian, "Adaptive Sliding Mode Control for Re-entry Attitude of Near Space Hypersonic Vehicle Based on Backstepping Design," IEEE/CAA J. of Autom. Sinica, vol. 2, no. 1, pp. 94-101, 2015.
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Adaptive Sliding Mode Control for Re-entry Attitude of Near Space Hypersonic Vehicle Based on Backstepping Design

  • 1. Flight Control Research Center, Key Laboratory of Measurement and Control of Complex Systems of Engineering, Ministry of Education, School of Automation, Southeast University, Nanjing 210096, China;

  • 2. College of Information and Control, Nanjing University of Information Science & Technology, Nanjing 210044, China

Funds:

This work was supported by National Outstanding Youth Science Foundation (61125306), National Natural Science Foundation of Major Research Plan (91016004, 61034002), Specialized Research Fund for the Doctoral Program of Higher Education of China (20110092110020), and Open Fund of Key Laboratory of Measurement and Control of Complex Systems of Engineering (Southeast University), Ministry of Education (MCCSE2013B01).

    Abstract
  • Combining sliding mode control method with radial basis function neural network (RBFNN), this paper proposes a robust adaptive control scheme based on backstepping design for re-entry attitude tracking control of near space hypersonic vehicle (NSHV) in the presence of parameter variations and external disturbances. In the attitude angle loop, a robust adaptive virtual control law is designed by using the adaptive method to estimate the unknown upper bound of the compound uncertainties. In the angular velocity loop, an adaptive sliding mode control law is designed to suppress the effect of parameter variations and external disturbances. The main benefit of the sliding mode control is robustness to parameter variations and external disturbances. To further improve the control performance, RBFNNs are introduced to approximate the compound uncertainties in the attitude angle loop and angular velocity loop, respectively. Based on Lyapunov stability theory, the tracking errors are shown to be asymptotically stable. Simulation results show that the proposed control system attains a satisfied control performance and is robust against parameter variations and external disturbances.

     

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