Description and Preliminary Test Results of a Six Degrees of Freedom Rigid Wing Pumping System

Ruiterkamp, Richard; Sieberling, Sören

doi:10.1007/978-3-642-39965-7_26

Cited by 42 publications

(66 citation statements)

References 3 publications

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“…It is the first book that provides a consistent compilation of fundamental theories, current research and development activities, and economic and regulatory issues. The book is divided into 35 chapters [3,[7][8][9][10][11][12]15, that demonstrate the relevance of AWE and the important role that this technology can play in the transition to a renewable energy economy.…”

Section: Fagiano Lorenzo Is a Professor And Researcher At Politecnicmentioning

confidence: 99%

“…This innovative technology for renewable energy exploration uses aerial devices rather than traditional wind turbines to make use of wind kinetic energy and it can remain in the air through aerodynamic forces [2][3][4]. Unlike wind turbines with towers, airborne wind power systems operate in flight and they are connected to a foundation by a cable, either to transmit the energy generated at the airfoil or to transmit mechanical energy to the [9], a generator positioned on the ground generator with rigid airfoil from Ampyx Power [11], a GoogleX system with onboard generators [12], balloon with onboard turbine from Altaeros Energies [15], and generator positioned on the floor with flexible airfoil from UFSCkite [16].…”

Section: Introductionmentioning

confidence: 99%

“…Additionally, some innovations are not patentable and patents do not always represent the most suitable mechanism to protect innovations. The value of patents can vary across countries and the [9], a generator positioned on the ground generator with rigid airfoil from Ampyx Power [11], a GoogleX system with onboard generators [12], balloon with onboard turbine from Altaeros Energies [15], and generator positioned on the floor with flexible airfoil from UFSCkite [16].…”

Section: Introductionmentioning

confidence: 99%

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Comparing Patent and Scientific Literature in Airborne Wind Energy

et al. 2017

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Airborne Wind Energy (AWE) is a renewable energy technology that uses wind power devices rather than traditional wind turbines that take advantage of the kinetic wind energy, and remain in the air due to aerodynamic forces. This article aims to compare the scientific literature with the patents on wind power with tethered airfoils, to obtain better insights into the literature of this area of knowledge. The method used in this study was a comparative bibliometric analysis, using the Web of Science and Derwent Innovations Index databases, and the Network Analysis Interface for Literature Review software and VosViewer. It was possible to verify the main authors, research centers and companies, countries and journals that publish on the subject; the most cited documents; the technological classes; and the networks of collaborations of this work. It was also possible to identify that researches on wind energy with tethered airfoils began their studies in the late 1970s with the first patent apparently dated from 1975 by the inventors Dai and Dai. The first scientific publication was in 1979 by authors Fletcher and Roberts, followed by Loyd in 1980. United States is the country that presented the highest number of patents and scientific papers. Both scientific papers and patents set up networks of collaboration; that is, important authors are interacting with others to establish cooperative partnerships.

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Section: Fagiano Lorenzo Is a Professor And Researcher At Politecnicmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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Comparing Patent and Scientific Literature in Airborne Wind Energy

et al. 2017

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“…It exploits the aerodynamic force generated by a kite (which can be imagined as an airplane on a string) to generate power, either by driving a generator (Ruiterkamp and Sieberling, 2013), or by pulling a boat (Erhard and Strauch, 2013). The open problem of optimally controlling a powerproducing kite during dynamic flight (which can be imagined as an airplane on a string) is currently of great technological relevance.…”

Section: Simulated Case Studymentioning

confidence: 99%

“…They were selected to correspond closely with the prototypes currently under development in this field (Ruiterkamp and Sieberling, 2013;Fritz, 2013;van der Vlugt et al, 2013). For plotting purposes in this paper, the kite position is projected onto the plane defined by the two orthogonal vectorsê W = 0 1 0 T andê N = − sinθ 0 cosθ T (radians), which (as shown in Figure 1) are tangent to the sphere upon which the kite can move at the point {θ,φ} = {0.3, 0} rad.…”

Section: Plant Descriptionmentioning

confidence: 99%

A Directional Modifier-Adaptation Algorithm for Real-Time Optimization

Costello

François

Bonvin

2016

Journal of Process Control

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The steady advances of computational methods make model-based optimization an increasingly attractive method for process improvement. Unfortunately, the available models are often inaccurate. The traditional remedy is to update the model parameters, but this generally leads to a difficult parameter estimation problem that must be solved on-line. In addition, the resulting model may poorly represent the plant when there is structural mismatch between the two. The iterative optimization method called Modifier Adaptation overcomes these obstacles by directly incorporating plant measurements into the optimization framework, principally in the form of constraint values and gradients. However, the experimental cost (i.e. the number of experiments required) to estimate these gradients increases linearly with the number of process inputs, which tends to make the method intractable for processes with many inputs. This paper presents a new algorithm, called Directional Modifier Adaptation, that overcomes this limitation by only estimating the plant gradients in certain privileged directions. It is proven that plant optimality with respect to these privileged directions can be guaranteed upon convergence. A novel, statistically optimal, gradient estimation technique is developed. The algorithm is illustrated through the simulation of a realistic airborne wind-energy system, a promising renewable energy technology that harnesses wind energy using large kites. It is shown that Directional Modifier Adaptation can optimize in real time the path followed by the dynamically flying kite.

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Aerodynamic model identification of an autonomous aircraft for airborne wind energy

Licitra

Bürger

Williams³

et al. 2019

Optim Control Appl Methods

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Summary Airborne wind energy (AWE) refers to a novel technology capable of harvesting energy from wind by flying crosswind patterns with tethered autonomous aircraft. Successful design of flight controllers for AWE systems relies on the availability of accurate mathematical models. Due to an expected nonconventional structure of the airborne component, the system identification procedure must be ultimately addressed via an intensive flight test campaign to gain additional insight about the aerodynamic properties. In this paper, the longitudinal dynamics of a rigid‐wing, high lift, autonomous aircraft for AWE are identified from experimental data obtained within flight tests. The aerodynamic characteristics are estimated via an efficient time‐domain multiple experiments model‐based parameter estimation algorithm.

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Description and Preliminary Test Results of a Six Degrees of Freedom Rigid Wing Pumping System

Cited by 42 publications

References 3 publications

Comparing Patent and Scientific Literature in Airborne Wind Energy

Comparing Patent and Scientific Literature in Airborne Wind Energy

A Directional Modifier-Adaptation Algorithm for Real-Time Optimization

Aerodynamic model identification of an autonomous aircraft for airborne wind energy

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