A centralized optimal controller for formation flying spacecraft
Formation flying spacecraft is emerging as an enabling technology for the discovery of new type of science for the emerging NASA deep space and Earth science missions.
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Formation flying spacecraft is emerging as an enabling technology for the discovery of new type of science for the emerging NASA deep space and Earth science missions.
Multiple spacecraft flying in formation is a new paradigm that is key to the success of several future NASA missions.
We present several results on the leader-following (LF) paradigm in the formation flying of multiple spacecraft in free space.
This paper is the first comprehensive spacecraft formation flying guidance (FFG) survey. Here by the term guidance we mean both path planning (i. e., reference trajectory generation) and optimal, open loop control design. FFG naturally divides into two areas: Deep Space (DS), in which relative spacecraft dynamics reduce to double integrator form, and Planetary Orbital Environments (POE), in which they do not (e.9. libration point formations). Both areas consider optimal formation reconfigurations. In addition, DS FFG addresses optimal u, v-coverages for multiple spacecraft interferometers and rest-to-rest rotations. The main focus of the POE literature, however, is 'assive apertures.' These are periodic and fuel-eficient relative spacecraft trajectories that accomplish scientific objectives (e.9. synthesizing an aperture).
High fidelity engineering simulation plays a key role in the rapidly developing field of space-based formation flying. This paper describes the design and implementation of the Formation Algorithms and Simulation Testbed (FAST).
This paper provides a comprehensive survey of spacecraft formation flying control, which encompasses design techniques and stability results for these coupled-state control laws.
The formation flying of precisely controlled spacecraft in deep space can be used to implement optical instruments capable of imaging planets in other solar systems. The distance of the formation from Earth necessitates a significant level of autonomy and each spacecraft must base its actions on its estimates of the location and velocity of the other spacecraft. Precise coordination and control is the key requirement in such missions and the flow of information between spacecraft must be carefully designed. Doing this in an efficient and optimal manner requires novel techniques for the design of the on-board estimators. The use of standard Kalman filter-based designs can lead to unanticipated dynamics--which we refer to as disagreement dynamics--in the estimators' errors. We show how communication amongst the spacecraft can be designed in order to control all of the dynamics within the formation. We present several results relating the topology of the communication network to the resulting closed-loop control dynamics of the formation. The consequences for the design of the control, communication and coordination are discussed.
We consider two spacecraft flying in formation to create interferometric synthetic aperture radar (InSAR). Several candidate orbits for such in InSar formation have been previously determined based on radar performance and Keplerian orbital dynamics. However, with out active control, disturbance-induced drift can degrade radar performance and (in the worst case) cause a collision. This study evaluates the feasibility of operating the InSAR spacecraft as a formation, that is, with inner-spacecraft sensing and control. We describe the candidate InSAR orbits, design formation guidance and control architectures and algorithms, and report the (Delta)(nu) and control acceleration requirements for the candidate orbits for several tracking performance levels. As part of determining formation requirements, a formation guidance algorithm called Command Virtual Structure is introduced that can reduce the (Delta)(nu) requirements compared to standard Leader/Follower formation approaches.
The Terrestrial Planet Finder formation flying Interferometer (TPF-I) will be a five-spacecraft, precision formation operating near a Sun-Earth Lagrange point. As part of technology development for TPF-I, a formation and attitude control system (FACS) is being developed that achieves the precision and functionality associated with the TPF-I formation. This FACS will be demonstrated in a distributed, real-time simulation environment. In this paper we present an overview of the FACS and discuss in detail its constituent formation estimation, guidance and control architectures and algorithms. Since the FACS is currently being integrated into a high-fidelity simulation environment, component simulations demonstrating algorithm performance are presented.
The Fruit Fly Lab team at Ames Research Center has developed and flown several versions of hardware to ISS that have been utilized to conduct research using the model organism, Drosophila melanogaster. These sets of hardware vary in complexity and capabilities and can be matched to experiments based on specific aims objectives and considerations for cost, updownmass, and crew time requirements. The team has multiple investigators slated to utilize this hardware on near-term missions to ISS, and is expecting more from future calls for proposals.
This paper discusses some of the key differences between formation flying and structurally connected interferometers, including formation configurations, controlling beam shear, station-keeping, and the importance of delay and delay rate estimation in determining the instrument sensitivity.
We present a disturbance rejection mechanism for the formation flying of multiple spacecraft based on a robust control approach in terms of an H control problem.
Several results on the reconfigurable control architecture for the formation flying of multiple spacecraft are presented.
We present several results on the leader-following (LF) paradigm in the formation flying of multiple spacecraft in free space.
A Free-Flying Magnetometer (FFM) is an autonomous spin-stabilized sensorcraft that measures vector magentic field at dc and low frequencies by means of a 3-axis magnetometer.
The Free-Flying Magnetometer (FFM) is an autonomous spin-stabilized sensorcraft developed at the Jet Propulsion Laboratory (JPL) for the Enstrophy sounding rocket mission.
This paper presents an analysis of the relative motions between formation flying space vehicles in orbit about the Earth and Mars.
Four Free Flying Magnetometers (FFMs) flew on the Enstrophy sounding rocket launched on February 10, 1999 from Poker Flats Research Range.