Modeling and control of a Magnus effect-based airborne wind energy system in crosswind maneuvers

Gupta, Yashank; Dumon, Jonathan; Hably, Ahmad

doi:10.1016/j.ifacol.2017.08.2205

Cited by 11 publications

(19 citation statements)

References 14 publications

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“…As presented in [8], the dynamic equations of a Magnus cylinder can be derived in the cylinder's body frame, and then transferred to an inertial frame centered at the ground station through the application of rotation matrices. The position vector of the Magnus cylinder in the body frame r b is given by…”

Section: A System Modelmentioning

confidence: 99%

“…where S cyl refers to the projected surface area of the cylinder, v axz and v ay to the components of the apparent wind velocity, and C L and C D represent the coefficients of lift and drag, respectively. Still in accordance with [8], W b , F bu , and F r are used to denote the weight in the z b direction, the buoyancy force, and the tether traction force evaluated at the ground station, respectively. For the sake of simplicity, the tether dynamics is neglected, meaning that effects due to its drag, elasticity, and inertia are not considered.…”

Section: A System Modelmentioning

confidence: 99%

“…cyl being the angular velocity of the cylinder, r cyl its radius, and kv a k the magnitude of the apparent wind velocity. In [8], the relationship between the aerodynamic coefficients and the spin ratio is given by polynomial expressions, as proposed in [6].…”

Section: A System Modelmentioning

confidence: 99%

“…Moreover, it also includes the nominal wind V w , the lift force F L , the magnitudes of the equivalent drag force F Dwhich also comprises tether drag effects -and of the tether traction force F r . The evolution of these states in time is ruled by a simplified dynamical model similar to those presented in [9] and [8], and which can be described in discrete time by the following set of difference equations…”

Section: Estimation Structurementioning

confidence: 99%

“…According to [8], in order to establish a control-oriented mathematical model for Magnus effect-based AWE systems, the determination of the aerodynamic coefficients of lift and drag of the ABM is a necessary step, which requires the study of flow past rotating cylinders in high Reynolds number regime. This is a very complicated phenomenon and, unfortunately, has not received enough attention from the aerodynamics community.…”

Section: Introductionmentioning

confidence: 99%

See 4 more Smart Citations

In-flight estimation of the aerodynamic characteristics of a Magnus effect-based airborne wind energy system

Schmidt¹,

Gupta²,

Dumon³

et al. 2018

2018 4th International Conference on Renewable Energies for Developing Countries (REDEC)

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Magnus effect-based Airborne wind energy (AWE) systems are a promising yet still unexplored concept for harnessing wind power at high-altitudes. While other aspects of the technology have been recently studied, the problem of obtaining accurate information regarding the aerodynamic behavior of the suspended cylinder as its spin ratio varies remains open. This paper presents an adaptation of an existing estimation strategy based on a constrained Extended Kalman filter (EKF) for the aerodynamic characterization of a smallscale Magnus effect-based AWE prototype. The evaluation is performed on data obtained during wind tunnel experiments, and results indicate that, after minor modifications, the chosen approach can indeed be applied to Magnus effect-based AWE systems. Moreover, provided that the cylinder's angular velocity is available, it can be employed for approximately determining the relationship existing between the aerodynamic coefficients of lift and drag and the spin ratio of the airborne structure.

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Section: A System Modelmentioning

confidence: 99%

Section: A System Modelmentioning

confidence: 99%

Section: A System Modelmentioning

confidence: 99%

Section: Estimation Structurementioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

See 3 more Smart Citations

In-flight estimation of the aerodynamic characteristics of a Magnus effect-based airborne wind energy system

Schmidt¹,

Gupta²,

Dumon³

et al. 2018

2018 4th International Conference on Renewable Energies for Developing Countries (REDEC)

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Harnessing wind energy on merchant ships: case study Flettner rotors onboard bulk carriers

Seddiek

Ammar

2021

Environ Sci Pollut Res

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Shipping faces challenges of reducing the dependence on fossil fuels to align with the international regulations of ship emissions reduction. The maritime industry is in urgent need of searching about alternative energy sources for ships. This paper highlights the applicability of harnessing wind power for ships. Flettner rotors as a clean propulsion technology for commercial ships are introduced. As a case study, one of the bulk carrier ships operating between Damietta port in Egypt and Dunkirk port in France has been investigated. The results showed the high influence of the interaction between ship course and wind speed and direction on the net output power of Flettner rotors. The average net output power for each rotor will be 384 kW/h. Economically, the results reveal that the use of Flettner rotors will contribute to considerable savings, up to 22.28% of the annual ship’s fuel consumption. The pay-back period of the proposed concept will be 6 years with a considerable value of levelized cost of energy. Environmentally, NO x and CO 2 emissions will be reduced by 270.4 and 9272 ton/year with cost-effectiveness of $1912 and $55.8/ton, respectively, at annual interest rate of 10%.

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Modelling and control of a tethered drone for an AWE application

Azaki

Dumon

Meslem

et al. 2022

2022 International Conference on Control, Automation and Diagnosis (ICCAD)

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This paper proposes a nonlinear control strategy to achieve autonomous take-off and landing of a drone-based tethered Magnus flying device. This flying device is used in airborne wind energy system that converts wind energy into electricity. A 3D model is constructed and used to design a feedback linearization controller to obtain the desired flight trajectories. Simulation results with an illustrated realistic model indicate good performance and robustness in different flying conditions. This complex and realistic simulation environment supports real experimental testing.

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Modeling and control of a Magnus effect-based airborne wind energy system in crosswind maneuvers

Cited by 11 publications

References 14 publications

In-flight estimation of the aerodynamic characteristics of a Magnus effect-based airborne wind energy system

In-flight estimation of the aerodynamic characteristics of a Magnus effect-based airborne wind energy system

Harnessing wind energy on merchant ships: case study Flettner rotors onboard bulk carriers

Modelling and control of a tethered drone for an AWE application

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