Integrated Flight/Structural Mode Control for Very Flexible Aircraft Using L1 Adaptive Output Feedback Controller

Che, Jiaxing; Cao, Chengyu; Gregory, Irene M.

doi:10.2514/6.2012-4439

Cited by 7 publications

(4 citation statements)

References 7 publications

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“…The control objective is to ensure that the total temperature tracks a desired reference trajectory with guaranteed performance bounds. An adaptive augmentation set-up is deployed as a general design approach, which has been applied in some research of recent years (Banerjee et al, 2016; Che et al, 2012; Griffin et al, 2010; Hellmundt et al, 2016; Pettersson et al, 2012).…”

Section: Controller Designmentioning

confidence: 99%

Temperature trajectory control of cryogenic wind tunnel with robust L₁ adaptive control

Zhu

Yin

Tang

et al. 2017

Transactions of the Institute of Measurement and Control

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Temperature control in a cryogenic wind tunnel is the key to realizing finely controlled Reynolds number close to true flight. This study deploys the L1 adaptive control methodology to ensure the total temperature profile of the cryogenic wind tunnel tracks a specified reference trajectory. After introducing a non-linear model of a cryogenic wind tunnel and a linear temperature model, a linear–quadratic–Gaussian (LQG) controller is implemented as the baseline controller. The L1 adaptive controller with piecewise constant adaptive law is used as an augmentation to the baseline controller to cancel the matched and unmatched uncertainties within the actuator’s bandwidth. By introducing two modifications to the standard L1 adaptive controller, which are the transportation delay modelling in the state predictor and the non-linear state dependent filter, the L1 adaptive controller improves the performance of the baseline controller in the presence of uncertainties in temperature control, guaranteeing proper stability and delay margin. The simulation results and analysis demonstrate the effectiveness of the proposed control architecture. The main contribution of this paper lies in the first applications of L1 adaptive control to the wind tunnel control problem and the non-linear state dependent filter in L1 adaptive control structure.

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Section: Controller Designmentioning

confidence: 99%

Temperature trajectory control of cryogenic wind tunnel with robust L₁ adaptive control

Zhu

Yin

Tang

et al. 2017

Transactions of the Institute of Measurement and Control

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“…Several control strategies have been employed in the past for the design of such Gust Load Alleviation (GLA) control laws, starting with feedback control [2][3][4][5], based on the aircraft measured output, typically the pitch rate, yaw rate and vertical load factor obtained from gyroscopes and accelerometers. In order to improve the GLA performance, an additional feedforward controller that directly uses the measurement of the wind perturbation can be used in addition to feedback control [6][7][8] or used alone [9][10][11].…”

Section: Introductionmentioning

confidence: 99%

Robust Gust Load Alleviation at Different Flight Points and Mass configurations

Fournier

Massioni

Pham

et al. 2022

AIAA SCITECH 2022 Forum

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This work studies the gust load alleviation of a flexible aircraft equipped with a lidar sensor that measures the wind velocity ahead of the aircraft. The focus is put on the aeroelastic dynamics uncertainties due to the evolution of the velocity and the altitude during a flight, and to the variations of the aircraft mass configuration. A robust control approach is adopted in order to minimize the aircraft loads due to the wind in presence of such uncertainties with low-order controllers that satisfy the constraints imposed by the system's limitations and the implementability considerations. This is achieved through structured mixed H 2 /H ∞ synthesis with multiple models. The load alleviation capability of controllers of various orders, using a variable number of control surfaces, is assessed through the computation of the maximum loads obtained in various conditions of velocity, altitude and mass configurations.

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“…In practical applications, it is unlikely that all the feedback states will be measured, and the most common approach to this problem in literature is to design an observer to perform state estimation from some output measurements. 5,[10][11][12] Although there are attempts to perform state estimation from displacement information (such as from visionbased system), 12,13 as well as accelerometers or inertia measurement units (IMU), 14,15 there is little published literature in sensor fusion of both displacement and IMU data. Vision-based measurement methods are typically limited by the update rate (~1−5Hz) due to 1) relatively long image processing duration and 2) bandwidth limitation in sending video data from the cameras to image processing unit.…”

Section: Introductionmentioning

confidence: 99%

Flight Shape Estimation of Very Flexible Unmanned Aerial Vehicle

Pang

Cesnik

2016

57th AIAA/ASCE/AHS/ASC Structures, Structural Dynamics, and Materials Conference

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This paper presents two different methods for estimating wing shape and rigid body attitude using displacement (stereovision reconstruction) and orientation information (inertia measurement units) at discrete points along a very flexible wing. First, theoretical relationship between the system states (strain, strain rate, body velocity, attitude etc.) and the sensor measurements are derived. Using the derived relationship, a nonlinear least squares fit is developed to obtain wing shape snapshots as well as rigid body attitude. The second method employs a Kalman filter to obtain both shape and rate information. The first method is more accurate since it employs nonlinear strain-displacement relationship at the cost of higher computational cost. However, in the presence of noise in the sensor measurement, the Kalman filter is faster and performs better in terms of accuracy.

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Integrated Flight/Structural Mode Control for Very Flexible Aircraft Using L1 Adaptive Output Feedback Controller

Cited by 7 publications

References 7 publications

Temperature trajectory control of cryogenic wind tunnel with robust L₁ adaptive control

Temperature trajectory control of cryogenic wind tunnel with robust L₁ adaptive control

Robust Gust Load Alleviation at Different Flight Points and Mass configurations

Flight Shape Estimation of Very Flexible Unmanned Aerial Vehicle

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Integrated Flight/Structural Mode Control for Very Flexible Aircraft Using L1 Adaptive Output Feedback Controller

Cited by 7 publications

References 7 publications

Temperature trajectory control of cryogenic wind tunnel with robust L1 adaptive control

Temperature trajectory control of cryogenic wind tunnel with robust L1 adaptive control

Robust Gust Load Alleviation at Different Flight Points and Mass configurations

Flight Shape Estimation of Very Flexible Unmanned Aerial Vehicle

Contact Info

Product

Resources

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Temperature trajectory control of cryogenic wind tunnel with robust L₁ adaptive control

Temperature trajectory control of cryogenic wind tunnel with robust L₁ adaptive control