Flexible modelling and altitude control for powered parafoil system based on active disturbance rejection control

ABSTRACT For the accurate altitude control of the powered parafoil system, a novel modelling method and control methodology are designed in this paper. Firstly, based on computational fluid dynamics, the proposed model can accurately simulate the actual flight state of the powered parafoil system. Then, the double closed-loop controller based on active disturbance rejection control is designed. With this methodology, the precise altitude control can be realised. By analysing the theory of active disturbance rejection control, the proposed control method will be stable and valid. At last, after the detailed verification in the hardware-in-the-loop simulations, the flight experiment is carried out. After the simulation with the proposed model, the adjusted controller parameters can be applied directly in the actual experiment. The results show that the proposed method can provide effective guidance to the flight experiment. It also proves the validity and effectiveness of the proposed modelling and control method.

[1]  Jaime Arcos-Legarda,et al.  A robust two-stage active disturbance rejection control for the stabilization of a riderless bicycle , 2019 .

[2]  Mehdi Sabzehparvar In-Flight Thrust Measurements of Propeller-Driven Airplanes , 2005 .

[3]  Kazuo Tanaka,et al.  Practical Model Construction and Stable Control of an Unmanned Aerial Vehicle With a Parafoil-Type Wing , 2019, IEEE Transactions on Systems, Man, and Cybernetics: Systems.

[4]  Zhiqiang Gao,et al.  Active Disturbance Rejection Control for MEMS Gyroscopes , 2009, IEEE Transactions on Control Systems Technology.

[5]  Mark Costello,et al.  Combined Lateral and Longitudinal Control of Parafoils Using Upper-Surface Canopy Spoilers , 2015 .

[6]  Jun Yang,et al.  Generalized Extended State Observer Based Control for Systems With Mismatched Uncertainties , 2012, IEEE Transactions on Industrial Electronics.

[7]  Yogesh Kumar,et al.  Validation of Canopy and Payload Relative Motion Estimation for Parafoil Aerial Vehicle using Computer Vision , 2017 .

[8]  Mark Costello,et al.  Flight Dynamics and Control Authority of Flap-Controlled Open Boxes , 2007 .

[9]  Qinglin Sun,et al.  Modeling of powered parafoil based on Kirchhoff motion equation , 2015 .

[10]  Hamid Johari,et al.  Computation of Flow over a High Performance Parafoil , 2009 .

[11]  H. Sira-Ramirez,et al.  Robust Passivity-Based Control of a Buck–Boost-Converter/DC-Motor System: An Active Disturbance Rejection Approach , 2012, IEEE Transactions on Industry Applications.

[12]  Jianbin Qiu,et al.  Adaptive Fuzzy Control for Nontriangular Structural Stochastic Switched Nonlinear Systems With Full State Constraints , 2019, IEEE Transactions on Fuzzy Systems.

[13]  R. Shanmugasundram,et al.  Modeling, simulation and analysis of controllers for brushless direct current motor drives , 2013 .

[14]  Meng Wang,et al.  Finite Frequency Memory Output Feedback Controller Design for T–S Fuzzy Dynamical Systems , 2018, IEEE Transactions on Fuzzy Systems.

[15]  Michael Ward,et al.  Human-in-the-loop control of guided airdrop systems , 2019, Aerospace Science and Technology.

[16]  Yuan Liu,et al.  Improved digital model of parafoil-unmanned aerial vehicle accurate recycling system , 2016, 2016 IEEE Chinese Guidance, Navigation and Control Conference (CGNCC).

[17]  Lei Guo,et al.  Disturbance-Observer-Based Control and Related Methods—An Overview , 2016, IEEE Transactions on Industrial Electronics.

[18]  Mark Costello,et al.  Autonomous Airdrop Systems Employing Ground Wind Measurements for Improved Landing Accuracy , 2015, IEEE/ASME Transactions on Mechatronics.

[19]  Santiago Pulido-Guerrero,et al.  Self-Stabilization of a riderless bicycle with a control moment gyroscope via model-based active disturbance rejection control , 2017, 2017 IEEE 3rd Colombian Conference on Automatic Control (CCAC).

[20]  Jr Garl L. Gentry,et al.  Wind Tunnel Aerodynamic Characteristics of a Transport-Type Airfoil in a Simulated Heavy Rain Environment , 2003 .

[21]  Nathan J. Slegers,et al.  Dynamic Modeling, Control Aspects and Model Predictive Control of a Parafoil and Payload System , 2004 .

[22]  Oleg A. Yakimenko,et al.  On the development of GNC algorithm for a high-glide payload delivery system , 2003, 42nd IEEE International Conference on Decision and Control (IEEE Cat. No.03CH37475).

[23]  W. Gockel,et al.  Concept Studies of an Autonomous GNC System for Gliding Parachute. , 1997 .

[24]  Zhiqiang Gao,et al.  On stability analysis of active disturbance rejection control for nonlinear time-varying plants with unknown dynamics , 2007, 2007 46th IEEE Conference on Decision and Control.

[25]  Thomas Jann,et al.  Advanced Features for Autonomous Parafoil Guidance, Navigation and Control , 2005 .

[26]  Y. Ochi,et al.  Modeling and motion analysis for a powered paraglider(PPG) , 2007, SICE Annual Conference 2007.

[27]  Om Prakash,et al.  Modeling and Simulation of 9-DOF Parafoil-Payload System Flight Dynamics , 2006 .

[28]  Qinglin Sun,et al.  Active disturbance rejection control (ADRC)-based autonomous homing control of powered parafoils , 2016 .

[29]  Om Prakash,et al.  Guidance, Navigation and Control of a Powered Parafoil Aerial Vehicle , 2016 .

[30]  S. I. Adelfang,et al.  Gust Models for Launch Vehicle Ascent , 1998 .

[31]  Nathan Slegers,et al.  Optimal Control for Terminal Guidance of Autonomous Parafoils , 2009 .

[32]  Sanjay E. Talole,et al.  Performance Analysis of Generalized Extended State Observer in Tackling Sinusoidal Disturbances , 2013, IEEE Transactions on Control Systems Technology.

[33]  Jianbin Qiu,et al.  A Switched System Approach to Exponential Stabilization of Sampled-Data T–S Fuzzy Systems With Packet Dropouts , 2016, IEEE Transactions on Cybernetics.

[34]  Jonathan Rogers,et al.  Robust Parafoil Terminal Guidance Using Massively Parallel Processing , 2012 .

[35]  Oleg A. Yakimenko Precision Aerial Delivery Systems: Modeling, Dynamics, and Control , 2015 .

[36]  Samuel L. Kaesemeyer Testing of Guided Parafoil Cargo Delivery Systems , 2005 .

[37]  Horst Altmann Influence of Wind on Terminal Approach and Landing Accuracy , 2013 .

[38]  Jianbin Qiu,et al.  Observer-Based Fuzzy Adaptive Event-Triggered Control for Pure-Feedback Nonlinear Systems With Prescribed Performance , 2019, IEEE Transactions on Fuzzy Systems.

[39]  Zhiqiang Gao,et al.  Discrete implementation and generalization of the extended state observer , 2006, 2006 American Control Conference.

[40]  Russell M. Cummings,et al.  Computational Fluid Dynamics for the Aerodynamic Design and Modeling of a Ram-Air Parachute with Bleed-Air Actuators , 2015 .

[41]  Nathan Slegers Comparison of Parafoil Dynamic Modes with Varying Payload Connections , 2017 .

[42]  Bao-Zhu Guo,et al.  On the convergence of an extended state observer for nonlinear systems with uncertainty , 2011, Syst. Control. Lett..

[43]  Meng Wang,et al.  A Novel Piecewise Affine Filtering Design for T–S Fuzzy Affine Systems Using Past Output Measurements , 2020, IEEE Transactions on Cybernetics.

[44]  Yannick Aoustin,et al.  Control Algorithms of the Longitude Motion of the Powered Paraglider , 2012 .

[45]  Wei Liang,et al.  Computational fluid dynamics based dynamic modeling of parafoil system , 2018 .

[46]  Horacio Coral-Enriquez,et al.  Sliding mode control assisted by GPI observers for tracking tasks of a nonlinear multivariable Twin-Rotor aerodynamical system , 2019 .

[47]  T. Barrows Apparent Mass of Parafoils with Spanwise Camber , 2001 .

[48]  Daogang Peng,et al.  The application of BPNN based on improved PSO in main steam temperature control of supercritical unit , 2016, 2016 22nd International Conference on Automation and Computing (ICAC).