Aerodynamic Analysis, Dynamic Modeling, and Control of a Morphing Aircraft

Yan, Binbin; Li, Yong; Dai, Pei; Liu, Shuangxi

doi:10.1061/(asce)as.1943-5525.0001047

Cited by 40 publications

(22 citation statements)

References 16 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…During morphing transition process, both aerodynamic parameters and mass distribution change dramatically according to different wing geometry, while additional morphing forces and moments are directly brought to the dynamic model. In previous study [1][2], a longitudinal dynamic model of a variable-wing-sweep morphing aircraft based on multi-body modelling method was proposed, accounting for changes in aerodynamic and inertial properties.…”

Section: Longitudinal Dynamic Modelmentioning

confidence: 99%

See 1 more Smart Citation

Longitudinal Tracking Control for a Morphing Waverider Using Adaptive Super Twisting Control

et al. 2021

Self Cite

View full text Add to dashboard Cite

The morphing aircraft is a promising solution to achieve an optimal flight performance according to various mission scenarios. To apply the morphing technology in hypersonic vehicles, a variable-sweep-wing morphing waverider was proposed in previous studies, and its aerodynamic performance and dynamic model were presented. In this paper, this morphing waverider is assumed to perform a long-range unpowered glide mission over a wide speed range from hypersonic to subsonic speed. First, the accurate longitudinal dynamic model for the morphing waverider is presented, with all the additional forces and moments that stem from morphing. And a control-oriented longitudinal dynamic model is proposed and it separates the additional morphing forces and moments from derivatives of state variables. Then, an adaptive super twisting sliding mode controller is applied for this morphing waverider to track the optimized trajectory during the entire morphing process. Finally, the overall performance of this controller is examined by nominal condition simulations and Monte Carlo runs. Under the nominal condition simulations, the adaptive super twisting algorithm based sliding mode controller reduces mean tracking error of the pitch angle by 25% compared with the traditional sliding mode controller. In the 500 Monte Carlo runs, the ASTA controller reduces maximum tracking error of the pitch angle by 47% compared with the SMC controller.INDEX TERMS Variable-sweep-wing, morphing waverider, sliding mode control, adaptive super twisting algorithm

show abstract

Section: Longitudinal Dynamic Modelmentioning

confidence: 99%

“…The morphing aircraft can change wing shapes or geometries to achieve optimal flight performance according to various mission scenarios such as takeoff, loiter, reconnaissance, attack, and landing [1]. The traditional aircraft is designed for a specific flight condition, and this will cause certain mission segments to be compromised [2].…”

Section: Introductionmentioning

confidence: 99%

Longitudinal Tracking Control for a Morphing Waverider Using Adaptive Super Twisting Control

et al. 2021

Self Cite

View full text Add to dashboard Cite

show abstract

“…Although dynamic models of the morphing moments and morphing forces are presented in (7), (8), and (9), it's difficult to measure disturbances and uncertainties acting on the entire system which can be estimated by an observer. In this section, a disturbance observer based nonlinear model predictive controller is proposed and its architecture is illustrated in Fig.…”

Section: Nonlinear Mpc With Disturbance Observermentioning

confidence: 99%

Modeling and Nonlinear Model Predictive Control of a Variable-Sweep-Wing Morphing Waverider

et al. 2021

Self Cite

View full text Add to dashboard Cite

“…Due to the large variation of the folding wing configuration, the time-varying morphing process, and the nonlinearity in the structure or aerodynamics, most of the time-varying nonlinear modeling techniques are quite complicated and generally far away from the control-oriented modeling. Some studies on the morphing aircraft control trend to use fixed configuration controllers as a compromise [16][17][18]. When the wing shape changes, the controller needs to switch online between different parameters to ensure the stability and performance of the closedloop system.…”

Section: Introductionmentioning

confidence: 99%

Interpolation-Based Modeling Methodology for Efficient Aeroelastic Control of a Folding Wing

Yue

Zhao

2021

International Journal of Aerospace Engineering

View full text Add to dashboard Cite

The aeroelastic model of a folding wing varies with different configurations, so it actually represents a parameter-varying system. Firstly, a new approach based on interpolation of local models is proposed to generate the linear parameter-varying model of a folding wing. This model is capable of predicting the aeroelastic responses during the slow morphing process and is suitable for subsequent control synthesis. The underlying inconsistencies among local linear time-invariant (LTI) models are solved through the modal matching of structural modes and the special treatment of the rational functions in aerodynamic models. Once the local LTI models are represented in a coherent state-space form, the aeroservoelastic (ASE) model at any operating point can be immediately generated by the matrix interpolation technique. Next, based on the present ASE model, the design of a parameterized controller for suppressing the gust-induced vibration is studied. The receptance method is applied to derive fixed point controllers, and the effective independence method is adopted and modified for optimal sensor placement in variable configurations, which can avoid solving ill-conditioned feedback gains. Numerical simulation demonstrates the effectiveness of the proposed interpolation-based modeling approach, and the parameterized controller exhibits a good gust mitigation effect within a wide parameter-varying range. This paper provides an effective and practical solution for modeling and control of the parameterized aeroelastic system.

show abstract

Aerodynamic Analysis, Dynamic Modeling, and Control of a Morphing Aircraft

Cited by 40 publications

References 16 publications

Longitudinal Tracking Control for a Morphing Waverider Using Adaptive Super Twisting Control

Longitudinal Tracking Control for a Morphing Waverider Using Adaptive Super Twisting Control

Modeling and Nonlinear Model Predictive Control of a Variable-Sweep-Wing Morphing Waverider

Interpolation-Based Modeling Methodology for Efficient Aeroelastic Control of a Folding Wing

Contact Info

Product

Resources

About