Practical control implementation of tri-tiltRotor flying wing unmanned aerial vehicles based upon active disturbance rejection control

Tilt rotor unmanned aerial vehicles exhibit their effectiveness via a novel and convenient structure. However, the flight control system is a critical problem in need of a robust solution. Focusing on its flight features, which display strong nonlinear and varying dynamics, caused by complexity in the aerodynamic layout and tilting structure, a practical control scheme is proposed to meet such technical issues. This paper first develops the nonlinear model, consisting of the interference between rotors and the wing body, relying on wind tunnel technology. A simplified linear model that decomposes the longitudinal and lateral components is used in order to facilitate controller design. Then, a time-scale separation decoupling control scheme based upon active disturbance rejection control is proposed to cope with control challenges. Introducing the concept of virtual control input, an effective control allocation is obtained by choosing the appropriate bandwidth in the frequency domain. The extended state observer is applied to estimate and compensate for unknown total disturbances and model uncertainties. Finally, robustness verification, successful test-bench experiments, and practical flight tests that show the fast tracking and disturbance rejection of the active disturbance rejection control controller are discussed. The proposed practical coupling rejection control design demonstrates its capability to employ a single input single output method to control a tri-tiltRotor flying wing unmanned aerial vehicle relying on active disturbance rejection control.

[1]  Anthony Tzes,et al.  Switching model predictive attitude control for a quadrotor helicopter subject to atmospheric disturbances , 2011 .

[2]  Marc Bodson,et al.  Constrained quadratic programming techniques for control allocation , 2006, IEEE Transactions on Control Systems Technology.

[3]  Jianda Han,et al.  Control techniques of tilt rotor unmanned aerial vehicle systems: A review , 2017 .

[4]  Christos Papachristos,et al.  Dual–Authority Thrust–Vectoring of a Tri–TiltRotor employing Model Predictive Control , 2016, J. Intell. Robotic Syst..

[5]  Christos Papachristos,et al.  Model predictive hovering-translation control of an unmanned Tri-TiltRotor , 2013, 2013 IEEE International Conference on Robotics and Automation.

[6]  Ben M. Chen,et al.  Autonomous reconfigurable hybrid tail-sitter UAV U-Lion , 2017, Science China Information Sciences.

[7]  Anthony J. Calise,et al.  Nonlinear adaptive flight control using neural networks , 1998 .

[8]  Wen-Hua Chen,et al.  Explicit non-linear model predictive control for autonomous helicopters , 2012 .

[9]  Zenghui Wang,et al.  PID pitch attitude control for unstable flight vehicle in the presence of actuator delay: Tuning and analysis , 2014, J. Frankl. Inst..

[10]  Anthony J. Calise,et al.  Adaptive Model Inversion Flight Control For Tiltrotor Aircraft , 1998 .

[11]  Yingxun Wang,et al.  Control strategy design for the transitional mode of tiltrotor UAV , 2012, IEEE 10th International Conference on Industrial Informatics.

[12]  Roland Siegwart,et al.  Linear vs Nonlinear MPC for Trajectory Tracking Applied to Rotary Wing Micro Aerial Vehicles , 2016, ArXiv.

[13]  Yushin Kim,et al.  Flight test results of automatic tilt control for small scaled tilt rotor aircraft , 2008, 2008 International Conference on Control, Automation and Systems.

[14]  Zhiqiang Gao,et al.  Active disturbance rejection control: From an enduring idea to an emerging technology , 2015, 2015 10th International Workshop on Robot Motion and Control (RoMoCo).

[15]  David Bodden,et al.  Multivariable control allocation and control law conditioning when control effectors limit , 1994 .

[16]  G. Balas,et al.  Development of linear-parameter-varying models for aircraft , 2004 .

[17]  Mingwei Sun,et al.  A novel control scheme for quadrotor UAV based upon active disturbance rejection control , 2018, Aerospace Science and Technology.

[18]  Daisuke Kubo,et al.  Transitional Flight Control of Tail-Sitter Vertical Takeoff and Landing Mini Unmanned Aerial Vehicle , 2007 .

[19]  Erdal Kayacan,et al.  Receding horizon control of a 3 DOF helicopter using online estimation of aerodynamic parameters , 2018 .

[20]  Young-shin Kang,et al.  Control Law Modification According to Flight Test of Small Scaled Tilt Rotor UAV , 2008 .

[21]  Ugur Ozdemir,et al.  Dynamic modeling of a fixed-wing VTOL UAV , 2014, 2014 International Conference on Unmanned Aircraft Systems (ICUAS).

[22]  Song Yanguo,et al.  Design of Flight Control System for a Small Unmanned Tilt Rotor Aircraft , 2009 .

[23]  Roland Siegwart,et al.  The Voliro Omniorientational Hexacopter: An Agile and Maneuverable Tiltable-Rotor Aerial Vehicle , 2018, IEEE Robotics & Automation Magazine.

[24]  Xia Qing-yua Tilt-rotor aircraft modeling and its manipulation assignment strategy , 2013 .

[25]  James M. Buffington,et al.  Lyapunov stability analysis of daisy chain control allocation , 1996 .