Simulation of Relative Multiple Spacecraft Dynamics and Control with MATLAB-Simulink and Satellite Tool Kit

McCamish, Shawn B.; Romano, Marcello

doi:10.2514/6.2007-6805

Cited by 23 publications

(17 citation statements)

References 1 publication

Supporting

Mentioning

Contrasting

Order By: Relevance

“…The simplicity of the APF-based control algorithms is a good match for spacecraft applications with limited proximity sensors and processing capability. Our research proposed and evaluated a control algorithm that combines the efficiency of a linear quadratic regulator (LQR) with an APF-based collision-avoidance capability [1][2][3][4][5]. The APF-based collision avoidance relies on relative positions and velocities.…”

Section: Overview Of Nps Multiple-spacecraftmentioning

confidence: 99%

“…For this simulation, position and ranging sensors were assumed to provide ideal information. The simulation was animated using Satellite Tool Kit, as discussed in [5]. Frame shots of the animation are shown in Fig.…”

Section: B Nps Simulation Of the Three-spheres Collision Avoidance Amentioning

confidence: 99%

“…Naval Postgraduate School (NPS), allows for robust collision avoidance of both moving and stationary obstacles while converging efficiently to a desired position. The promising simulation results led to the integration of the NPS control algorithm [2][3][4][5] into the Synchronized Position Hold Engage and Reorient Experimental Satellites (SPHERES) facility, developed by the Massachusetts Institute of Technology Space Systems Laboratory (MIT SSL) and currently flying onboard the International Space Station (ISS) [6][7][8][9]. First, a three-satellite experiment that requires collision avoidance during a docking maneuver was selected.…”

Section: Nomenclaturementioning

confidence: 99%

“…The spacecraft model was developed in MATLAB [26] and validated via Satellite Tool Kit [27]. A full overview of the model and simulation developed for the multiplespacecraft close-proximity control algorithm is discussed in [5].…”

Section: Overview Of Nps Multiple-spacecraftmentioning

confidence: 99%

See 3 more Smart Citations

Flight Testing of Multiple-Spacecraft Control on SPHERES During Close-Proximity Operations

McCamish¹,

Romano²,

Nolet³

et al. 2009

Journal of Spacecraft and Rockets

Self Cite

View full text Add to dashboard Cite

A multiple-spacecraft close-proximity control algorithm was implemented and tested with the Synchronized Position Hold Engage and Reorient Experimental Satellites (SPHERES) facility onboard the International Space Station. During flight testing, a chaser satellite successfully approached a virtual target satellite while avoiding collision with a virtual obstacle satellite. This research contributes to the control of multiple spacecraft for emerging missions, which may require simultaneous gathering, rendezvous, and docking. The unique control algorithm was developed at the U.S. Naval Postgraduate School and integrated onto the Massachusetts Institute of Technology's SPHERES facility. The control algorithm implemented combines the efficiency of the linear quadratic regulator (used for attraction toward goal positions) and the robust collision-avoidance capability of the artificial potential field method (used for repulsion from moving obstacles). The amalgamation of these two control methods into a multiple-spacecraft close-proximity control algorithm yielded promising results, as demonstrated by simulations. Comprehensive simulation evaluation enabled implementation and ground testing of the spacecraft control algorithm on the SPHERES facility. Successful ground testing led to the execution of flight experiments onboard the International Space Station, which demonstrated the proposed algorithm in a microgravity environment. NomenclatureA, B, C = state-space matrices a = acceleration due to linear-quadratic-regulator-and artificial-potential-field-determined control effort a APF = acceleration due to artificial-potential-fielddetermined control effort a LQR = acceleration due to linear-quadratic-regulatordetermined control effort a m = maximum acceleration a obs = acceleration of chaser spacecraft toward an obstacle a x;y;z = acceleration due to the control effort

show abstract

Section: Overview Of Nps Multiple-spacecraftmentioning

confidence: 99%

Section: B Nps Simulation Of the Three-spheres Collision Avoidance Amentioning

confidence: 99%

Section: Nomenclaturementioning

confidence: 99%

Section: Overview Of Nps Multiple-spacecraftmentioning

confidence: 99%

See 2 more Smart Citations

Flight Testing of Multiple-Spacecraft Control on SPHERES During Close-Proximity Operations

McCamish¹,

Romano²,

Nolet³

et al. 2009

Journal of Spacecraft and Rockets

Self Cite

View full text Add to dashboard Cite

show abstract

“…Introduction M ODEL validation and simulation visualization are critical aspects of engineering analysis and performance evaluation for spacecraft control algorithms [1]. An effective test scenario simulates the environment in which the control algorithm is expected to operate.…”

mentioning

confidence: 99%

Simulations of Multiple Spacecraft Maneuvering with MATLAB/Simulink and Satellite Tool Kit

McCamish

Ciarcià

Romano

2013

Journal of Aerospace Information Systems

Self Cite

View full text Add to dashboard Cite

A software interface between the MATLAB/Simulink environment and the Satellite Tool Kit Environment is introduced. This research is based on the need for validating model performance and visualizing simultaneous multiple-spacecraft proximity maneuvers for emerging missions. It is common for spacecraft systems to be modeled with MATLAB and Simulink. Furthermore, the software package Satellite Tool Kit is often used for animating and evaluating spacecraft maneuvers. In this research, a MATLAB/Satellite Tool Kit interface was developed to propagate six-degree-of-freedom spacecraft models, compared against Satellite-Tool-Kit-generated ephemeris, and animated for analysis. MATLAB script with necessary formatting is used for Satellite Tool Kit initialization and animation. The MATLAB/Satellite Tool Kit simulation interface allows variations in number, shape, and dimensions of spacecraft. Additionally, numerous model and simulation parameters can be selected and synchronized between MATLAB and Satellite Tool Kit. Furthermore, either predetermined, or randomly distributed, initial spacecraft positions and orientations are permitted by the interface. The paper gives enough details to allow the interested readers to adapt to their needs and further develop the proposed software interface.

show abstract

A rapid method for validation and visualization of agile Earth-observation satellites scheduling

Yin

Wang

et al. 2018

Astrodyn

View full text Add to dashboard Cite

This paper describes a rapid method for validation and visualization of agile Earth-observation satellites scheduling. Benefited from the previous work, various algorithms are proposed for scheduling the observations of agile satellites. However, the satellite maneuvers are threedimensional, this characteristic makes it difficult for the operation engineers to validate and interpret the scheduled solutions. They have to plot these attitude data to analyze different situations such as an observing phase or a slew maneuver. Finally, one tries to imagine the three-dimensional situations from many one-dimensional plots, which is time-consuming and susceptible to errors. Moreover, now it is low-efficiency to deal with the data about ephemeris, targets, etc., because different software platforms are required. In this research, a validation and visualization method is suggested to overcome this barrier. It is successful to integrate the Satellite Tool Kit ActiveX and the C# programming language. Based on the embedded scheme, all the interaction and assessment can be visualized. Practical techniques for modelling satellite objects, sensor objects, target objects and satellite attitudes are presented. Such a method has been applied for Chinese agile satellites project, and a software interface has been developed. The simulation results indicate that the proposed method is intuitive and efficient. Note that this method is general, and thus it can be applied to other Earth observation missions. Enough details are provided for interested readers to develop the software interface.

show abstract

Simulation of Relative Multiple Spacecraft Dynamics and Control with MATLAB-Simulink and Satellite Tool Kit

Cited by 23 publications

References 1 publication

Flight Testing of Multiple-Spacecraft Control on SPHERES During Close-Proximity Operations

Flight Testing of Multiple-Spacecraft Control on SPHERES During Close-Proximity Operations

Simulations of Multiple Spacecraft Maneuvering with MATLAB/Simulink and Satellite Tool Kit

A rapid method for validation and visualization of agile Earth-observation satellites scheduling

Contact Info

Product

Resources

About