Control system design of flying-wing UAV based on nonlinear methodology

Abstract In this paper, A fluid vector rudder flying-wing UAV is employed as the design object, so as to study the nonlinear design method and flight validation. For the maneuvering flight control, this paper presents a control structure. This control structure included the inner loop linearization decoupling methods to eliminate the known negative coupling and the outer loop backstepping methods for trajectory tracking control. The stability of the control structure has been proved in this paper. Compared with the traditional backstepping control method, this controller increases the inner loop decoupling structure and retains the aerodynamic damping term which makes the linearized system a weak nonlinear system. This structure can not only reduce the conservatism of the outer loop controller design, but also is convenient for engineering implementation. Simulation and flight validation results show that the proposed control scheme is effective.

[1]  Moncef Gabbouj,et al.  Dynamic Data Clustering Using Stochastic Approximation Driven Multi-Dimensional Particle Swarm Optimization , 2010, EvoApplications.

[2]  Yi Yang,et al.  Transient performance improvement in model reference adaptive control using H∞ optimal method , 2015, J. Frankl. Inst..

[3]  Joseph B. Mueller,et al.  Avoidance Maneuver Planning Incorporating Station-Keeping Constraints and Automatic Relaxation , 2010, J. Aerosp. Inf. Syst..

[4]  Muhammad Usman Sadiq Performance analysis and flowfield characterization of secondary injection thrust vector control (SITVC) for a 2DCD nozzle , 2007 .

[5]  Warren E. Dixon,et al.  Asymptotic Tracking for Aircraft via Robust and Adaptive Dynamic Inversion Methods , 2010, IEEE Transactions on Control Systems Technology.

[6]  Yuanli Cai,et al.  Energy-Management Steering Maneuver for Thrust Vector-Controlled Interceptors , 2012 .

[7]  Jan Albert Mulder,et al.  Robust Flight Control Using Incremental Nonlinear Dynamic Inversion and Angular Acceleration Prediction , 2010 .

[8]  Andrew J. Neely,et al.  Performance Studies of Shock Vector Control Fluidic Thrust Vectoring , 2007 .

[9]  Yu Yao,et al.  Maneuver Control Strategies to Maximize Prediction Errors in Ballistic Middle Phase , 2013 .

[10]  Youdan Kim,et al.  Nonlinear Adaptive Flight Control Using Backstepping and Neural Networks Controller , 2001 .

[11]  Karen A. Deere Summary of Fluidic Thrust Vectoring Research Conducted at NASA Langley Research Center , 2003 .

[12]  Tiauw Hiong Go,et al.  Flight Dynamics and Optimization of Three-Dimensional Perching Maneuver , 2013 .

[13]  Q. Chu,et al.  Combined Feedback Linearization and Constrained Model Predictive Control for Entry Flight , 2006 .

[14]  Danwei W. Wang,et al.  Dynamic Surface Control of Constrained Hypersonic Flight Models with Parameter Estimation and Actuator Compensation , 2014 .

[15]  Jan Albert Mulder,et al.  Nonlinear Flight Control Design Using Constrained Adaptive Backstepping , 2007 .

[16]  Eric N. Johnson,et al.  Modeling, Control, and Flight Testing of a Small Ducted-Fan Aircraft , 2005 .