Adaptive coupled attitude-servo control for moving mass flight vehicles with high-mass-ratio

Abstract

Moving mass flight vehicles (MMFVs) with high-mass-ratio suffer from a more severe nonlinear attitude-servo coupling than the traditional configurations that are under particle moving mass hypothesis. Therefore, the coupled attitude-servo control problem is investigated in this paper, and an adaptive backstepping sliding mode controller with extended state observers and neural-networks (ABSMC-ENN) is proposed. Based on the formulated control model with strict-feedback form, a sliding mode control law (SMC) with exponential reaching rate and a nonsingular terminal sliding mode control law (NTSMC) are combined to perform the fast and robust tracking of the command angle-of-attack. Considering the disturbances and uncertainties existing in the coupled dynamics, two nonlinear extended state observers (ESOs) are utilized to estimate the total disturbances online for compensation. To further enhance the adaptiveness and dynamic response performances of the controller in various flight conditions, two radial basis function neural networks (RBFNNs) are exploited to optimize the switching gains of the controller in real-time with performance indexes being the functions of tracking errors. Closed-loop stability of the whole system is proved via Lyapunov methodology. Comparison simulation studies considering multiple disturbances, various flight conditions, and different controllers successfully demonstrate the superiority of the ABSMC-ENN in robustness and adaptiveness.

Keywords

moving mass control nonlinear coupled dynamics flight control adaptive backstepping control extended state observer neural network

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References

Gao

, et al. A survey on moving mass control technology. Aerospace Sci Technol 2018; 82–83: 594–606.

Liu

Gao

Jing

. Dynamic analysis and coupling control of underactuated flight vehicles with single moving mass. Aerospace Sci Technol 2021; 116: 106854.

Erturk

Dogan

. Relative controllability evaluation of mass-actuated airplane. J Guidance, Control Dyn 2019; 42(2): 384–393.

Liao

, et al. Modeling and attitude control of CubeSat utilizing moving mass actuators. Adv Space Res 2021; 67: 521–530.

. Nonlinear heading control of an autonomous underwater vehicle with internal actuators. Ocean Eng 2016; 125: 103–112.

Chen

Zhou

Yan

, et al. Composite control strategy of stratospheric airships with moving masses. J Aircraft 2012; 49(3): 794–801.

Atkins

Queen

. Internal moving mass actuator control for Mars entry guidance. J Spacecraft Rocket 2015; 52(5): 1294–1310.

Regan

Kavetsky

. Add-on controller for ballistic reentry vehicles. IEEE Trans Automatic Control 1984; 12(6): 869–880.

Petsopoulos

Regan

Barlow

. Moving-mass roll control system for fixed trim re-entry vehicle. J Spacecraft Rocket 1996; 33(1): 54–60.

10.

Menon

Sweriduk

Ohlmeyer

, et al. Integrated guidance and control of moving-mass actuated kinetic warheads. J Guidance, Control Dyn 2004; 27(1): 118–126.

11.

Gao

Jing

Wei

. Research on application of single moving mass in the reentry warhead maneuver. Aerospace Sci Technol 2013; 30: 108–118.

12.

Gao

Jing

, et al. Nonlinear vibration analysis of a novel moving mass flight vehicle. Nonlinear Dyn 2017; 90: 733–748.

13.

Gao

Jing

, et al. Attitude control of reentry vehicle with a pitch-control single moving mass (in Chinese). Scientia Sinica Technologica 2016; 46: 1048–1056.

14.

Sun

Jing

Gao

, et al. Attitude dynamics and control of high-mass-ratio fixed-trim moving mass reentry vehicle. Aerospace Sci Technol 2022; 123: 107456.

15.

Wang

Bao

. Second order dynamic sliding-mode control for nonminimum phase underactuated hypersonic vehicles. IEEE Trans Ind Electro 2017; 64(4): 3105–3112.

16.

Geng

Sheng

Liu

. Finite-time sliding mode attitude control for a reentry vehicle with blended aerodynamic surfaces and a reaction control system. Chin J Aeronautics 2014; 27(4): 964–976.

17.

Hua

Wang

Zhu

. Sliding-mode control for a rolling-missile with input constraints. J Syst Eng Electro 2020; 31(5): 1041–1050.

18.

Rao

Ghose

. Sliding mode control-based autopilots for leaderless consensus of unmanned aerial vehicles. IEEE Trans Control Syst Technol 2014; 22(5): 1964–1972.

19.

Han

. From PID to active disturbance rejection control. IEEE Trans Ind Electro 2009; 56(3): 900–906.

20.

Zhao

Guo

. A nonlinear extended state observer based on fractional power functions. Automatica 2017; 81: 286–296.

21.

Yang

. Continuous finite-time extended state observer based fault tolerant control for attitude stabilization. Aerospace Sci Technol 2019; 84: 204–213.

22.

Zhang

Wang

Yang

, et al. Anti-disturbance backstepping control for air-breathing hypersonic vehicles based on extended state observer. ISA Trans 2019; 92: 84–93.

23.

Monsees

Scherpen

. Adaptive switching gain for a discrete-time sliding mode controller. Int J Control 2002; 75(4): 242–251.

24.

Park

Sandberg

. Universal approximation using radial-basis-function networks. Neural Comput 1991; 3(2): 246–257.

25.

Xie

Paszczynski

, et al. Advantages of radial basis function networks for dynamic system design. IEEE Trans Ind Electro 2011; 58(12): 5438–5450.

26.

Seghouane

Shokouuhi

. Adaptive learning for robust radial basis function networks. IEEE Trans Cybernetics 2021; 51(5): 2847–2856.

27.

Liu

Wen

Zhao

, et al. Neural-network-based sliding-mode control of an uncertain robot using dynamic model approximated switching gain. IEEE Trans Cybernetics 2021; 51(5): 2339–2346.

28.

Jing

Gao

. Adaptive backstepping-based flight control system using integral filters. Aerospace Sci Technol 2009; 13: 105–113.

29.

Bianchini

Frasconi

Gori

. Learning without local minima in radial basis function networks. IEEE Trans Neural Networks 1995; 6(3): 749–756.

30.

Shankar

Yedavalli

Burken

. Self-organizing radial basis function networks for adaptive flight control. J Guidance, Control Dyn 2011; 34(3): 783–794.

31.

Dou

Kong

Wen

. Altitude and attitude active disturbance rejection controller design of a quadrotor unmanned aerial vehicle. Proc Imeche G: J Aerospace Eng 2016; 0(0): 1–14.

32.

Slotine

. Applied nonlinear control. Englewood Cliffs, NJ: Prentice Hall, 1991.

33.

Bhat

Bernstein

. Continuous finite-time stabilization of the translational and rotational double integrators. IEEE Trans Automatic Control 1998; 43(5): 678–682.

34.

Hardy

Littlewood

Polya

. Inequalities. Cambridge: Cambridge University Press, 1952.

35.

Chen

, et al. ADRC-based longitudinal control for novel flight vehicle with moving mass. In: IEEE Conference on Decision and control (CDC). Miami Beach, FL, USA, 2018, pp. 17–19.