Integrating Model-Based Transmission Reduction into a multi-tier architecture

2014 11th International Conference on Information Technology: New Generations

Reza

2014

This paper provides an overview of an approach to the control of multiple craft with heterogeneous movement and actuation characteristics that is based on the Blackboard software architecture. An overview of the Blackboard architecture is provided. Then, the operational and mission requirements that dictate the need for autonomous control are characterized and the utility of the Blackboard architecture is for meeting these requirements is discussed. The performance of a best-path solver and naïve solver are compared. The results demonstrate that the best-path solver outperforms the naïve solver in the amount of time taken to generate a solution; however, the number of solverruns to be executed against the Blackboard must be sufficient to allow the lower individual-run times to offset the time required to propagate the data utilized by the best-path solver for solution generation through the database.The existence of other justifications for this approach (even if the number of runs for each data propagation cycle is not sufficient) is also discussed.

Section: B Autonomous Control Of Multiple Robotmentioning

confidence: 99%

The Use of the Blackboard Architecture for a Decision Making System for the Control of Craft with Various Actuator and Movement Capabilities

2014 11th International Conference on Information Technology: New Generations

Reza

2014

“…MBTR provides algorithms which range from making simple data transmission and prioritization decisions to making mission-command level decisions, based on controller-defined experimental objectives. In [15], the use of MBTR to provide science command input to the MTAMA framework was discussed. Figure 2 depicts a high-level decision-making process for a MTAMA / MBTR-based mission.…”

Section: Other Supporting Technologiesmentioning

confidence: 99%

Building space operations resiliency with a multi-tier mission architecture

2014

SPIE Proceedings

A variety of naturally occurring (e.g., solar activity) and other (e.g., deliberate attack, residual space object impact) risk factors exist for orbital, aerial and ground-based assets. This paper provides an overview of multiple different risk sources to spacecraft. It then provides an overview of the multi-tier mission/operations architecture. The various types of craft that can participate are discussed as are prospective deployment patterns. Next, a mission plan for a high-resiliency sensing mission is presented. Finally, the paper concludes by considering next steps for testing this designed-forresilience multi-tier architecture.

“…Previous work [25][26][27][28][29] demonstrates a possible future for autonomy in planetary science. This is, of course, one of many prospective approaches to the operations of autonomous data collection and analysis missions; it is, however, illustrative of the importance of developing planetary science community embraced autonomous control technology.…”

Section: Future Enabling Technologiesmentioning

confidence: 99%

“…This approach can be utilized to control the operations of a network of heterogeneous craft [29] like those proposed in [30][31][32][33]. The combination of the finding driven goal generation and goal based autonomous control could prospectively lead to lower-cost, lower human operational involvement science missions.…”

Section: Future Enabling Technologiesmentioning

confidence: 99%

Attitudes towards Autonomous Data Collection and Analysis in the Planetary Science Community

2013

Galaxies

Abstract:As missions are planned to targets further away from Earth, it becomes all but required to increase the role of autonomy in the mission. An investigation of what aspects of mission operations and decision making autonomy will be accepted in by the planetary science community is thus required to aid in development planning. This paper presents a data set collected regarding attitudes towards autonomous data collection and analysis in the planetary science community and initial analysis of this data. A survey, conducted at the 2013 Lunar and Planetary Science Conference, asked respondents to identify whether or not they would accept conclusions drawn by autonomous data collection techniques and what factors would impact this acceptance. It also looked at the acceptance of computers and computer software in the data collection and analysis process.