Automated Design of Spacecraft Power Subsystems

Terrile, R.; Kordon, M.; Mandutianu, Dan; Salcedo, Jose; Wood, Eric; Hashemi, Mona

doi:10.1109/aero.2006.1656181

Cited by 10 publications

(3 citation statements)

References 4 publications

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“…ECM is based on evolutionary computational optimizers developed by the Center for Evolutionary Computational and Automated Design (CECAD) at the Jet Propulsion Lab [6,7].…”

Section: Cross-cutting Examplesmentioning

confidence: 99%

Pathways and challenges to innovation in aerospace

Terrile

2011

IEEE Aerosp. Electron. Syst. Mag.

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“…ECM is based on evolutionary computational optimizers developed by the Center for Evolutionary Computational and Automated Design (CECAD) at the Jet Propulsion Lab [6,7].…”

Section: Cross-cutting Examplesmentioning

confidence: 99%

Pathways and challenges to innovation in aerospace

Terrile

2011

IEEE Aerosp. Electron. Syst. Mag.

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“…Mars Rover is one of the examples of this process [5]. Some evolutionary computing techniques were also used to reduce the cost of satellites or other spacecraft [6]. The electric power system is explained in reference [7].…”

Section: Introductionmentioning

confidence: 99%

Comparison of DC-DC converters for solar power conversion system

Mishra

Senapati

Salkuti

2022

IJEECS

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This paper covers the comparison between four different DC-DC converters for solar power conversion. The four converters are buck converter, buck-boost converter, boost converter, and noninverting buck-boost converter. An MPPT algorithm is designed to calculate battery voltage, current of PV array, the voltage of PV array, power of PV array, output power. It is observed that the non-inverting buck-boost converter is the finest converter for solar power conversion. The final circuit design has the results of 12.2V battery voltage, 0.31A current of PV array, 34V voltage of PV array, 23mW power of PV panel, and 21.8mW of output power. The efficiency of this system is nearly 95%. All four circuits are simulated in MATLAB/Simulink R2020b.

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“…Evolutionary computation is a method that operates on a population of existing computationalbased engineering models (or simulators) and competes them using biologically inspired genetic operators on large parallel cluster computers. We have demonstrated that complex engineering and science models can be automatically inverted by incorporating them into evolutionary frameworks and that these inversions have advantages over conventional searches by not requiring expert starting guesses (designs) and by running on large cluster computers with less overall computational time than conventional approaches [1,2,3]. The result is the ability to automatically find design optimizations and trades, and thereby greatly amplify the role of the system engineer.…”

Section: Introductionmentioning

confidence: 99%

Evolutionary Computational Methods for the Design of Spectral Instruments

Terrile

Lee

Tinetti

et al. 2008

2008 IEEE Aerospace Conference

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We have developed a technique based on Evolutionary Computational Methods (ECM) that allows for the automated optimization of complex computationally modeled systems. We have demonstrated that complex engineering and science models can be automatically inverted by incorporating them into evolutionary frameworks and that these inversions have advantages over conventional searches by not requiring expert starting guesses (designs) and by running on large cluster computers with less overall computational time than conventional approaches. We have applied these techniques to the automated retrieval of atmospheric and surface spectral signatures from Earthshine observational data. We have demonstrated that in addition to automated spectral retrieval, ECM can also be used to evaluate the discriminability of scientific results as a function of requirements placed on the spectral model. An important application of this technique is for the optimization of design parameters for spectral instruments. 12

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Automated Design of Spacecraft Power Subsystems

Cited by 10 publications

References 4 publications

Pathways and challenges to innovation in aerospace

Pathways and challenges to innovation in aerospace

Comparison of DC-DC converters for solar power conversion system

Evolutionary Computational Methods for the Design of Spectral Instruments

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