Manipulation strategy of tilt quad rotor based on active disturbance rejection control

Abstract

To solve the problem of manipulation redundancy and coupling in transition mode of tilt quad rotor, this paper studied the manipulation strategy in transition mode, and carried out the design of the attitude controller based on active disturbance rejection control (ADRC) with sliding mode control in nonlinear state error feedback (NLSEF). According to the characteristics of flight in transition mode, the rudders and propellers were assigned different control rights. The differential output of the tracking differentiator was used as the attitude angular rate instruction to simplify the structure of the attitude controller. Extended state observer was used to estimate and compensate internal and external uncertainties. The sliding mode control in NLSEF was used to improve response speed of the controller. Through the flight control simulation and flight test of the tilt quad rotor, the validity of the control system and the rationality of the manipulation strategy were verified.

Keywords

Tilt quad rotor manipulation strategy ADRC sliding mode control flight test

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References

Marr

Blackman

Weiberg

. Wind tunnel and flight test of the XV-15 Tilt Rotor Research Aircraft. J Aircr 1979; 19: 1005–1005. 1011.

Wang

. Modelling and analysis of tiltrotor aircraft for flight control design. Inf Technol J 2014; 13: 855–894.

Chun-hua

Guo-hua

. Modeling and analytical investigation on rotor/wing aerodynamic interaction for tiltrotor aircraft. Acta Aerodyn Sin 2008; 3: 109–117.

Guo

Song

Xia

. Full envelope flight control method for small unmanned tilt rotor aircraft. J Nanj Univ Aeronaut Astronaut 2009; 41: 439–444.

Song

. Design of flight control system for a small unmanned tilt rotor aircraft. Chin J Aeronaut 2009; 22: 250–256.

Wang

. Multi-body motion modeling and simulation for tilt rotor aircraft. Chin J Aeronaut 2010; 23: 415–422.

Rysdyk

Calise

. Adaptive model inversion flight control for tilt-rotor aircraft. J Guid Control Dyn 2012; 22: 402–407.

Papachristos C, Alexis K and Tzes A. Design and experimental attitude control of an unmanned tilt-rotor aerial vehicle. In: International conference on advanced robotics, 2011. Piscataway: IEEE.

Sato

Muraoka

. Flight controller design and demonstration of quad-tilt-wing unmanned aerial vehicle. J Guid Control Dyn 2015; 38: 1–12.

10.

Öner

Çetinsoy

Unel

, et al. Modeling and position control of a new quad-rotor unmanned aerial vehicle with tilt-wing mechanism. In: International Conference on Control, Automation, Robotics and Vision (ICCARV'08), Laval, France 2008.

11.

Öner KT, Çetinsoy E and Unel M, et al. Dynamic model and control of a new quadrotor unmanned aerial vehicle with tilt-wing mechanism. In: Proceedings of World Academy of Science Engineering & Technology 2008; 2(9), pp.1008-1013.

12.

Flores G, Lugo I and Lozano R. 6-DOF hovering controller design of the Quad Tiltrotor aircraft: simulations and experiments. In: Decision & control, 2014, pp.6123–6128. Piscataway: IEEE.

13.

Niu

Zhang

. Method of smooth-switch fuzzy PID for linear motor control. Proc CSEE 2006; 26: 132–136.

14.

Teng W, Pan H and Ren J. Neural network PID decoupling control based on chaos particle swarm optimization. In: Control conference, 2014, pp.5017–5020. Piscataway: IEEE.

15.

Peng

Wang

Chen

. Design of tiltrotor flight control system in conversion mode using improved neutral network PID. Adv Mat Res 2014; 850: 640–643.

16.

Zhang

Sun

. Time-varying linear control for tiltrotor aircraft. Chin J Aeronaut 2018; 31: 632–642.

17.

Song S, Wang W and Lu K. Nonlinear attitude control using extended state observer for tilt-rotor aircraft. In: Control and decision conference, 2015, pp.852–857. Piscataway: IEEE.

18.

Xiong H, Yi J and Fan G. Anti-crosswind autolanding of UAVs based on active disturbance rejection control. In: AIAA guidance, navigation, & control conference, 2010; pp.1–13.

19.

Yang

Huang

Zhao

. Design of an active disturbance rejection control for transonic flutter suppression. J Guid Control Dyn 2017; 40: 1–12.

20.

Li D and Liu HH. Sensor bias fault detection and isolation in a large multirotor aerial vehicle using active disturbance rejection control. In: AIAA SciTech Forum, Kissimmee, Florida, 8–12 January 2018. DOI: 10.2514/6.2018-0249.