Simulation and Control Lab Development for Power and Energy Management for NASA Manned Deep Space Missions

McNelis, Anne M.; Beach, Raymond; Soeder, James F.; McNelis, Nancy B.; May, Ryan D.; Dever, Timothy P.; Trase, Larry

doi:10.2514/6.2014-3835

Cited by 9 publications

(5 citation statements)

References 5 publications

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“…2. Detailed half EPDS of the ISS [28]. consists of the primary power system (PPS), solar array wing (SAW), sequential shunt units (SSUs), energy storage system (ESS), secondary power system (SPS), and numerous electronic components to produce, store, and transfer electricity as an isolated source.…”

Section: Overview Of Iss Epdsmentioning

confidence: 99%

Multidimensional Time-Series Shapelet-Based Real-Time Fault Detection and Localization on ISS Electrical Power Distribution System

Liu,

Chen,

Dinavahi

2024

IEEE Trans. Instrum. Meas.

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International space station (ISS) is a grand invention for human beings to have a chance at exploring the outer space. Its operation is completely dependent on the autonomous power distribution system which transforms energy by solar arrays from the sun. There is a high demand for a reliable monitoring system that can accurately and timely detect and localize faults in its power system for the special working environment of the ISS. In this paper, a fault detection and localization (FDL) based on multi-dimensional time-series trend extracted shapelet (MTES) method was proposed. A fast shapelet discovery was created to accelerate the process of extracting shape features from timeseries signals collected from the ISS electrical power distribution system (EPDS). Then the techniques of randomization and information gain were exploited for the further shapelet selection. Finally, multi-dimensional time-series classification for FDL was solved by a designed random forest classifier. The real-time FDL measurement instrument was emulated on the Xilinx VCU128 FPGA board, while a hardware-in-the-loop (HIL) testing platform was established to verify the effectiveness, execution speed, and accuracy of the MTES method. Comparing with other state-of-the-art data-driven methods, higher accuracy (above 96%) and easier hardware implementation were achieved using MTES.

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Section: Overview Of Iss Epdsmentioning

confidence: 99%

Multidimensional Time-Series Shapelet-Based Real-Time Fault Detection and Localization on ISS Electrical Power Distribution System

Liu,

Chen,

Dinavahi

2024

IEEE Trans. Instrum. Meas.

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“…To maintain a coordinated operation among several power-consuming units, one of the main tasks of the autonomous power controller (APC) is to schedule their operating mode and rate, thereby the power demanded by each unit at each time interval [5]. An autonomous control laboratory is under development for deep space missions using the EPS for International Space Station (ISS) [8]. The authors of [5], [6], [9] propose a distributed control architecture for spacecraft to organize APC tasks in several control levels consisting of vehicle manager, subsystem, and reactive levels, similar to the three-level hierarchical control structure (HCS) that is employed in terrestrial MGs [10].…”

Section: List Of Symbolsmentioning

confidence: 99%

Power and Energy Management System of a Lunar Microgrid—Part I: Modeling Power Demand of ISRU

Saha,

Bazmohammadi,

Lashab

et al. 2024

IEEE Trans. Aerosp. Electron. Syst.

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Autonomous power control (APC) and energy management system (EMS) for space microgrids (MGs) on the Moon require well-designed operating references to ensure their safe operation considering the long-term goals of the mission. Oxygen and water, as two vital elements for human survival on the Moon, can be produced from the lunar regolith using the In-Situ Resource Utilization (ISRU) and water treatment subsystems. Since ISRU is one of the highest power-demanding units in a lunar base, this paper proposes a methodology for modeling the power demand profile for ISRU, considering oxygen and water management systems, which was not addressed in the literature. The paper presents the power consumption model of the ISRU, considering the Sun's illumination profile at a candidate site near the Shackleton crater at the lunar south pole. Furthermore, a methodology is proposed to create oxygen and water consumption and wastewater generation profiles in the crew habitat. The paper proposes models and algorithms to maintain the oxygen level and pressure in the crew habitat, transfer oxygen from ISRU to the associated oxygen tank, filter wastewater in the wastewater subsystem, transfer water produced from ISRU and freshwater from the wastewater subsystem to the associated water tank, considering oxygen and water consumption, and wastewater generation profiles of the crew habitat. Finally, an optimization framework is proposed to determine the power demand profile of ISRU by maintaining the oxygen in ISRU, the crew habitat, and water tanks at desired levels. It is observed that the ISRU power demand profile depends on the desired levels of oxygen and water in their associated tanks and their consumption/production rates. In addition, the interaction of different Manuscript

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“…For instance, in [39], a management approach is presented aiming towards minimizing the Stateof-Health of Li-ion batteries, however, many simplifications were made, the most prominent of which being the disregard of the network topology. The work done in [40] is particularly noteworthy because the designed energy management was loaded in Software-in-the-Loop (SIL) and applied on a testbed SPS (corresponding to future Orion Multi-Purpose Crew Vehicle) in Hardware-in-the-Loop (HIL). Though the configuration is very flexible and produces accurate results, the energy management system algorithm is still rule-based and it relies periodically on external settings sent via telemetry.…”

Section: Microgrid Controlmentioning

confidence: 99%

Design of Space Microgrid for Manned Lunar Base: Spinning-in Terrestrial Technologies

Bintoudi

Timplalexis

Mendes

et al. 2019

2019 European Space Power Conference (ESPC)

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The present study analyses the design of the power system of a manned lunar base, in Shackleton crater, using well-established terrestrial technologies deriving from DC microgrids with increased fault-tolerance needs. Expected luminance data from 2020 is used in order to select the ideal base location in terms of mean annual solar irradiance, according to which, the sizing of the power generation and storage units is performed. The proposed grid topology is meshed in order to satisfy the high reliability requirements of a manned space mission and, at the same time, to reduce the mass/ volume budgets of the mission. The load profile is constructed using a set of notional loads. Furthermore, a novel solar array configuration is proposed under the scope of maximizing the energy production under the specific irradiance of the base siting. After preliminary sizing is performed, a series of microgrid-related technologies is suggested, covering all levels of grid design, control and protection.

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Simulation and Control Lab Development for Power and Energy Management for NASA Manned Deep Space Missions

Cited by 9 publications

References 5 publications

Multidimensional Time-Series Shapelet-Based Real-Time Fault Detection and Localization on ISS Electrical Power Distribution System

Multidimensional Time-Series Shapelet-Based Real-Time Fault Detection and Localization on ISS Electrical Power Distribution System

Power and Energy Management System of a Lunar Microgrid—Part I: Modeling Power Demand of ISRU

Design of Space Microgrid for Manned Lunar Base: Spinning-in Terrestrial Technologies

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