Evolutionary computation technologies for space systems

Terrile, R.; Adami, Christoph; Aghazarian, Hrand; Chau, S.N.; Dang, Van; Ferguson, M.I.; Fink, Wolfgang; Huntsberger, Terrance L.; Klimeck, Gerhard; Kordon, M.; Lee, Seungwon; Allmen, Paul von; Xu, Jingdong

doi:10.1109/aero.2005.1559733

Cited by 28 publications

(13 citation statements)

References 16 publications

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“…We developed and implemented two stochastic optimization techniques, for efficiently determining the optimal tuning voltages and incorporated them in the hardware/software interface: a modified simulated annealing related algorithm [7,8] and a modified genetic algorithm with limited evaluation (Dynamic Hill Climbing) [5,6]. These optimization techniques have also been used for other space applications [4].…”

Section: Results Of Evolutionary Computationmentioning

confidence: 99%

Hardware Platforms for MEMS Gyroscope Tuning Based on Evolutionary Computation Using Open-Loop and Closed-Loop Frequency Response

Keymeulen

Ferguson

Fink

et al. 2005

Evolvable Systems: From Biology to Hardware

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Abstract. We propose a tuning method for MEMS gyroscopes based on evolutionary computation to efficiently increase the sensitivity of MEMS gyroscopes through tuning. The tuning method was tested for the second generation JPL/Boeing Post-resonator MEMS gyroscope using the measurement of the frequency response of the MEMS device in open-loop operation We also report on the development of a hardware platform for integrated tuning and closedloop operation of MEMS gyroscopes. The control of this device is implemented through a digital design on a Field Programmable Gate Array (FPGA). The hardware platform easily transitions to an embedded solution that allows for the miniaturization of the system to a single chip.

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Section: Results Of Evolutionary Computationmentioning

confidence: 99%

Hardware Platforms for MEMS Gyroscope Tuning Based on Evolutionary Computation Using Open-Loop and Closed-Loop Frequency Response

Keymeulen

Ferguson

Fink

et al. 2005

Evolvable Systems: From Biology to Hardware

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“…The basic principles behind ECMs and GAs have been detailed elsewhere [8,9], but we can benefit from a fresh discussion of the ECM within the framework of this new planetary application. As its name suggests, the ECM applies principles that underlie evolutionary behavior to problems that require determination of an optimal or 'best-fit' solution, given a series of constraining parameters.…”

Section: The Evolutionary Computation Modelmentioning

confidence: 99%

Use of evolutionary computation for isolating surface emissions from orbit

Mischna

Lee

Allen

et al. 2009

2009 IEEE Aerospace Conference

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High precision targeting of localized sources of atmospheric species outgassed from planetary surfaces remains an important goal in planetary science, but one that largely remains beyond present-day observational capabilities. For disequilibrium trace species, the detectable signature of a gas in the atmosphere often is confined to a small region (order 10-100's km) around its surface source. Identifying a plume source is challenging since the observed plume is likely many times larger than the surface source itself. Limited spatial coverage of the surface also may preclude direct detections of the plume surface source, while the large fields of view of present-day orbital instruments tend to 'blur' small-scale signals. To address these issues, we have developed a novel technique for determining the surface location of a trace gas emission source in a planetary atmosphere with an uncertainty of a few tens of km using present-day direct observational capabilities in concert with high-performance numerical modeling of atmospheric dynamics. 1,2 This paper shows how evolutionary computational models (ECMs) can be employed in the search for surface sources of trace gas plumes in the atmosphere of Mars. We present the specific approach taken in linking an ECM to a simple, idealized plume model, and gauge the overall ability of this system to return estimates of a plume source location over several generations of the model's execution. This technique can isolate trace gas source locations with orders of magnitude greater efficiency than brute-force approaches, making identification of such sources, even with limited observational data, a plausible endeavor.

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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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Evolutionary computation technologies for space systems

Cited by 28 publications

References 16 publications

Hardware Platforms for MEMS Gyroscope Tuning Based on Evolutionary Computation Using Open-Loop and Closed-Loop Frequency Response

Hardware Platforms for MEMS Gyroscope Tuning Based on Evolutionary Computation Using Open-Loop and Closed-Loop Frequency Response

Use of evolutionary computation for isolating surface emissions from orbit

Pathways and challenges to innovation in aerospace

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