The Experts below are selected from a list of 243 Experts worldwide ranked by ideXlab platform
Sergio Pellegrino - One of the best experts on this subject based on the ideXlab platform.
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Power-Optimal Guidance for Planar Space Solar Power Satellites
Journal of Guidance Control and Dynamics, 2020Co-Authors: Michael A. Marshall, Ashish Goel, Sergio PellegrinoAbstract:This paper presents Power-optimal guidance for a planar space Solar Power satellite (SSPS). Power-optimal guidance is the attitude trajectory that maximizes the Solar Power transmitted by the SSPS....
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attitude maneuver design for planar space Solar Power Satellites
2019Co-Authors: Michael Marshall, Ashish Goel, Sergio PellegrinoAbstract:This paper investigates the attitude dynamics of a planar space Solar Power satellite (SSPS) by formulating the Power-optimal guidance problem as a nonlinear trajectory optimization problem. The Power-optimal guidance problem determines the orientation of an SSPS throughout its orbit that maximizes the amount of Power transmitted to Earth. This transmitted Power is a function of the relative geometry between the SSPS, the Sun, and the receiving station. Hence, it is inherently coupled to the attitude of the SSPS, i.e., the orientation that maximizes Power transmission changes as the relative geometry changes. We first approximate the discretized trajectory optimization problem as a quadratic program (QP). We then solve the QP to obtain attitude trajectory designs for various orbits. These solutions highlight how maximizing transmitted Power typically requires large slew maneuvers. Ultimately, by quantifying control and propellant requirements for various orbits, we emphasize how maneuver dynamics play an important role in SSPS design.
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ultralight structures for space Solar Power Satellites
3rd AIAA Spacecraft Structures Conference, 2016Co-Authors: Manan Arya, Nicolas Lee, Sergio PellegrinoAbstract:The design of a deployable spacecraft, measuring 60 m × 60 m, and with an areal density 100 g m^(−2) , is described. This spacecraft can be packaged into a cylinder measuring 1.5 m in height and 1 m in diameter. It can be deployed to a flat configuration, where it acts as a stiff, lightweight support framework for multifunctional tiles that collect sunlight, generate electric Power, and transmit to a ground station on Earth.
Chun-cheng Lin - One of the best experts on this subject based on the ideXlab platform.
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Resource allocation of simultaneous wireless information and Power transmission of multi-beam Solar Power Satellites in space–terrestrial integrated networks for 6G wireless systems
Wireless Networks, 2020Co-Authors: Chun-cheng Lin, Der-jiunn Deng, I-hsin TsaiAbstract:The technique of simultaneous wireless information and Power transmission (SWIPT) has been applied to wireless sensor networks, which employ static or mobile base stations (BSs) such as drones and ships to charge passively Powered devices. SWIPT can be strongly expanded by Solar Power Satellites (SPSs), which collect Solar energy and transmit it to the earth through microwaves to alleviate the Power shortage problem. Furthermore, multi-beam SPSs can serve a broader range than terrestrial BSs for information transmission.In 6G networks, Satellites are core devices in space-terrestrial integrated networks (STINs) supporting super Internet-of-Things. However, when discussing 6G wireless systems, previous works did not consider SWIPT applied in STINs through multi-beam SPSs. Therefore, this work proposes a novel resource allocation problem for SWIPT performed by multi-beam SPSs in the STIN while optimizing the following two objectives: minimizing deficit or excess of information transmission rate and maximizing Power transmission based on two receiving architectures of terrestrial devices for information decoding and energy harvesting. Different from previous works, this problem considers not only assigning Power to one of multiple satellite beams but also further allocating Power in each beam into two parts for information and Power transmission. This problem is NP-hard as it includes an NP-hard problem. Artificial intelligence (AI) algorithms can be used to optimize the network resource management. Hence, this problem with continuous decision variables is further solved by a classical and two recent AI algorithms specially designed for continuous variables, i.e., particle swarm optimization, improved harmony search algorithm, and monkey algorithm. Through simulation, the most appropriate AI algorithms to the concerned problem are analyzed, and the results show that for the two special designed receiving architectures of the terrestrial devices, the Power splitting architecture generally outperforms the time switching architecture.
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resource allocation of simultaneous wireless information and Power transmission of multi beam Solar Power Satellites in space terrestrial integrated networks for 6g wireless systems
Wireless Networks, 2020Co-Authors: Chun-cheng Lin, Der-jiunn Deng, I-hsin TsaiAbstract:The technique of simultaneous wireless information and Power transmission (SWIPT) has been applied to wireless sensor networks, which employ static or mobile base stations (BSs) such as drones and ships to charge passively Powered devices. SWIPT can be strongly expanded by Solar Power Satellites (SPSs), which collect Solar energy and transmit it to the earth through microwaves to alleviate the Power shortage problem. Furthermore, multi-beam SPSs can serve a broader range than terrestrial BSs for information transmission.In 6G networks, Satellites are core devices in space-terrestrial integrated networks (STINs) supporting super Internet-of-Things. However, when discussing 6G wireless systems, previous works did not consider SWIPT applied in STINs through multi-beam SPSs. Therefore, this work proposes a novel resource allocation problem for SWIPT performed by multi-beam SPSs in the STIN while optimizing the following two objectives: minimizing deficit or excess of information transmission rate and maximizing Power transmission based on two receiving architectures of terrestrial devices for information decoding and energy harvesting. Different from previous works, this problem considers not only assigning Power to one of multiple satellite beams but also further allocating Power in each beam into two parts for information and Power transmission. This problem is NP-hard as it includes an NP-hard problem. Artificial intelligence (AI) algorithms can be used to optimize the network resource management. Hence, this problem with continuous decision variables is further solved by a classical and two recent AI algorithms specially designed for continuous variables, i.e., particle swarm optimization, improved harmony search algorithm, and monkey algorithm. Through simulation, the most appropriate AI algorithms to the concerned problem are analyzed, and the results show that for the two special designed receiving architectures of the terrestrial devices, the Power splitting architecture generally outperforms the time switching architecture.
Yu. M. Mar’yinskykh - One of the best experts on this subject based on the ideXlab platform.
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Gyroscopic Solar Power Satellite with the New Thermal Conversion System and Superconductive Generator
Applied Solar Energy, 2019Co-Authors: Yu. M. Mar’yinskykhAbstract:The analysis of Solar energy conversion methods in the projects of Solar Power Satellites (SPS) has been conducted and the problems restraining their implementation analysed. Therefore, the article provides grounds for using promising heat-resistant materials of carbonic nanocomposite and low-temperature superconductors in the scheme of Solar energy conversion with the purpose of creating SPS projects of a new type with improved weight and size parameters and physical and technical characteristics. The difference between the gyroscopic Solar Power Satellites (GSPSs) with the new thermal conversion system (TCS) and superconductive generator projects and the previous ones lies in the absence of steam and gas turbine plants, a thermal radiator and a system of direction to the sun. The results of assessment of their energy and weight and size parameters have been presented: the thermal efficiency of conversion by the helium as working fluid at concentration of the Solar energy of 74 and by the water steam at 38 has made 85% and 62.7% respectively; the specific weight of the entire thermal conversion system has made 2.17 kg/kW and 2.61 kg/kW; its specific capacity – 12.3 and 6.79 kW/m^2, the specific weight of the GSPS with the new TCS and superconductive generator has made 0.46 and 0.38 kW/kg. The suggested principle of functioning may be used in space Power plants, being based on planets and the Moon.
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The Material of the Working Fluid of the Solar Energy Heat Converter for Space Application
Mechanics Materials Science & Engineering Journal, 2018Co-Authors: Yu. M. Mar’yinskykhAbstract:The research is dedicated to reasoning the need for creation of a functional material as an active medium of conversion of Solar energy into mechanical energy with further conversion of it into electric Power and using it in Power plants and in projects of Solar Power Satellites (SPSs). There have been considered the ways of generating energy from the points of view of the environment and inexhaustibility, which include photoconverting Power engineering, methods of heat conversion of Solar energy and the problems, restraining creation of large-sale projects. The result of the research is the development of a method of continuous generating useful mechanical energy by using the functional material (working fluid) in the process of heating it with Solar radiation in the heat-absorbing zone and cooling it down in the heat-radiating zone within the optimum rated temperature range. The corresponding theoretical researches have been conducted in order to assess quantitatively the capacity of the metal segment as working fluid of the heat-converting panel while the thermal Solar energy converter (TSEC) for space application is functioning. The graphic curves of segments capacity in various temperature ranges have been presented herein. The time response of the TSEC metal segment functioning cyclicity has been studied at Solar concentration of n = 1.2, for different temperature ranges. A solution has been suggested that allows a significant increase of TSEC efficiency by improving the physical and technical characteristics of the segment material. The promising character of changing one of the series of parameters that define the segment material has been shown; and it leads to an opportunity to compete with photoconverting systems according to their efficiency, provided several parameters are combined in an optimum way. A variant of structure of a TSEC as an electric drive has been shown. It may also be applied on earth if modified correspondingly. The conversion method under consideration enables to construct SPSs and calculate the paths of motion so that the time of a Power plant being in the subSolar zone and the shadow zone while moving around the Earth per one rotation could match the time of a TSEC cycle.
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The Material of the Working Fluid of the Solar Energy Heat Converter for Space Application
Mechanics Materials Science & Engineering Journal, 2017Co-Authors: Yu. M. Mar’yinskykhAbstract:The research is dedicated to reasoning the need for creation of a functional material as an active medium of conversion of Solar energy into mechanical energy with further conversion of it into electric Power and using it in Power plants and in projects of Solar Power Satellites (SPSs). There have been considered the ways of generating energy from the points of view of the environment and inexhaustibility, which include photoconverting Power engineering, methods of heat conversion of Solar energy and the problems, restraining creation of large-sale projects. The result of the research is the development of a method of continuous generating useful mechanical energy by using the functional material (working fluid) in the process of heating it with Solar radiation in the heat-absorbing zone and cooling it down in the heat-radiating zone within the optimum rated temperature range. The corresponding theoretical researches have been conducted in order to assess quantitatively the capacity of the metal segment as working fluid of the heat-converting panel while the thermal Solar energy converter (TSEC) for space application is functioning. The graphic curves of segments capacity in various temperature ranges have been presented herein. The time response of the TSEC metal segment functioning cyclicity has been studied at Solar concentration of n = 1.2, for different temperature ranges. A solution has been suggested that allows a significant increase of TSEC efficiency by improving the physical and technical characteristics of the segment material. The promising character of changing one of the series of parameters that define the segment material has been shown; and it leads to an opportunity to compete with photoconverting systems according to their efficiency, provided several parameters are combined in an optimum way. A variant of structure of a TSEC as an electric drive has been shown. It may also be applied on earth if modified correspondingly. The conversion method under consideration enables to construct SPSs and calculate the paths of motion so that the time of a Power plant being in the subSolar zone and the shadow zone while moving around the Earth per one rotation could match the time of a TSEC cycle. Introduction. Nowadays, such world problems of energetics as energy safety, energy efficiency and environmental protection are appended with the factor of energy pricing policy. The significance of the energy problem is worth considering due to the obvious fact that the products manufactured by any industry are purchased for money equivalent to the amount of energy expenditure. The restricted and non-renewable character of energy resources on earth as well as the increasing consumption of them caused by the people's comfortable living conditions are leading to the produced useful energy becoming more expensive, which makes us search for alternative ways of generating energy by using renewable sources.
Pellegrino Sergio - One of the best experts on this subject based on the ideXlab platform.
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Shape reconstruction of planar flexible spacecraft structures using distributed sun sensors
'Elsevier BV', 2021Co-Authors: Talon Thibaud, Chen, Yulu Luke, Pellegrino SergioAbstract:Flexible planar spacecraft, such as Solar sails, phased antenna arrays and space Solar Power Satellites vary their shape in flight and also may not have a known shape after deployment. To allow applications where spacecraft shapes are measured to allow the closed-loop correction of flight or payload parameters, this paper presents a method for measuring shapes with miniature sun sensors embedded within the structure. Two algorithms to reconstruct the shape of the structure from the two local angles to the sun are presented; the first one is geometry-based, whereas the second one uses a finite element model of the structure. Both algorithms are validated on a 1.3 m x 0.25 m structure with 14 novel miniature sun sensors with an accuracy of 5°, developed for the present research. The structure was reconstructed to an accuracy better than one millimeter by both algorithms, after undergoing bending and torsional deformations. While the geometrically based algorithm is fast and accurate for small deformations, the finite element based algorithm performs better overall, especially for larger deformations
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Power-Optimal Guidance for Planar Space Solar Power Satellites
'American Institute of Aeronautics and Astronautics (AIAA)', 2020Co-Authors: Marshall, Michael A., Goel Ashish, Pellegrino SergioAbstract:This paper presents Power-optimal guidance for a planar space Solar Power satellite (SSPS). Power-optimal guidance is the attitude trajectory that maximizes the Solar Power transmitted by the SSPS. Planarity is important because it couples the orientations of the SSPS’s photovoltaic and antenna surfaces. Hence, the transmitted Power depends on the relative geometry between the SSPS, the sun, and the receiving station. The orientation that maximizes Power transfer changes as this relative geometry changes. Both single- and dual-sided SSPS architectures are considered. A single-sided SSPS has one photovoltaic surface and one antenna surface. A dual-sided SSPS is a single-sided SSPS with at least one additional photovoltaic or antenna surface. Geometric arguments show that a dual-sided SSPS has superior performance to a single-sided SSPS. Power-optimal guidance is then presented for the special cases of SSPSs in geostationary Earth orbit, medium Earth orbit, and low Earth orbit transmitting to an equatorial receiving station at the time of Earth’s vernal equinox. These examples emphasize important solution properties, including the need for large slew maneuvers, and they show that, even though system efficiency decreases as orbit altitude decreases, reduced path losses actually increase the amount of received energy per unit aperture area. This has significant system implications for future space Solar Power missions
I-hsin Tsai - One of the best experts on this subject based on the ideXlab platform.
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Resource allocation of simultaneous wireless information and Power transmission of multi-beam Solar Power Satellites in space–terrestrial integrated networks for 6G wireless systems
Wireless Networks, 2020Co-Authors: Chun-cheng Lin, Der-jiunn Deng, I-hsin TsaiAbstract:The technique of simultaneous wireless information and Power transmission (SWIPT) has been applied to wireless sensor networks, which employ static or mobile base stations (BSs) such as drones and ships to charge passively Powered devices. SWIPT can be strongly expanded by Solar Power Satellites (SPSs), which collect Solar energy and transmit it to the earth through microwaves to alleviate the Power shortage problem. Furthermore, multi-beam SPSs can serve a broader range than terrestrial BSs for information transmission.In 6G networks, Satellites are core devices in space-terrestrial integrated networks (STINs) supporting super Internet-of-Things. However, when discussing 6G wireless systems, previous works did not consider SWIPT applied in STINs through multi-beam SPSs. Therefore, this work proposes a novel resource allocation problem for SWIPT performed by multi-beam SPSs in the STIN while optimizing the following two objectives: minimizing deficit or excess of information transmission rate and maximizing Power transmission based on two receiving architectures of terrestrial devices for information decoding and energy harvesting. Different from previous works, this problem considers not only assigning Power to one of multiple satellite beams but also further allocating Power in each beam into two parts for information and Power transmission. This problem is NP-hard as it includes an NP-hard problem. Artificial intelligence (AI) algorithms can be used to optimize the network resource management. Hence, this problem with continuous decision variables is further solved by a classical and two recent AI algorithms specially designed for continuous variables, i.e., particle swarm optimization, improved harmony search algorithm, and monkey algorithm. Through simulation, the most appropriate AI algorithms to the concerned problem are analyzed, and the results show that for the two special designed receiving architectures of the terrestrial devices, the Power splitting architecture generally outperforms the time switching architecture.
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resource allocation of simultaneous wireless information and Power transmission of multi beam Solar Power Satellites in space terrestrial integrated networks for 6g wireless systems
Wireless Networks, 2020Co-Authors: Chun-cheng Lin, Der-jiunn Deng, I-hsin TsaiAbstract:The technique of simultaneous wireless information and Power transmission (SWIPT) has been applied to wireless sensor networks, which employ static or mobile base stations (BSs) such as drones and ships to charge passively Powered devices. SWIPT can be strongly expanded by Solar Power Satellites (SPSs), which collect Solar energy and transmit it to the earth through microwaves to alleviate the Power shortage problem. Furthermore, multi-beam SPSs can serve a broader range than terrestrial BSs for information transmission.In 6G networks, Satellites are core devices in space-terrestrial integrated networks (STINs) supporting super Internet-of-Things. However, when discussing 6G wireless systems, previous works did not consider SWIPT applied in STINs through multi-beam SPSs. Therefore, this work proposes a novel resource allocation problem for SWIPT performed by multi-beam SPSs in the STIN while optimizing the following two objectives: minimizing deficit or excess of information transmission rate and maximizing Power transmission based on two receiving architectures of terrestrial devices for information decoding and energy harvesting. Different from previous works, this problem considers not only assigning Power to one of multiple satellite beams but also further allocating Power in each beam into two parts for information and Power transmission. This problem is NP-hard as it includes an NP-hard problem. Artificial intelligence (AI) algorithms can be used to optimize the network resource management. Hence, this problem with continuous decision variables is further solved by a classical and two recent AI algorithms specially designed for continuous variables, i.e., particle swarm optimization, improved harmony search algorithm, and monkey algorithm. Through simulation, the most appropriate AI algorithms to the concerned problem are analyzed, and the results show that for the two special designed receiving architectures of the terrestrial devices, the Power splitting architecture generally outperforms the time switching architecture.