Network


Latest external collaboration on country level. Dive into details by clicking on the dots.

Hotspot


Dive into the research topics where Paul Brugarolas is active.

Publication


Featured researches published by Paul Brugarolas.


american control conference | 2005

An estimation algorithm for vision-based exploration of small bodies in space

David S. Bayard; Paul Brugarolas

This paper summarizes a methodology for designing on-board state estimators in support of spacecraft exploration of small bodies such as asteroids and comets. This paper focuses on an estimation algorithm that incorporates two basic computer-vision measurement types: a landmark table and a paired feature table. Several innovations are developed to incorporate these measurement types into the on-board state estimation algorithm. Simulations are provided to demonstrate the feasibility of the approach.


american control conference | 1998

Robust switching missile autopilot

Paul Brugarolas; Vincent Fromion; Michael G. Safonov

A robust switching controller is developed by application of the unfalsified control concept. Key ideas and implementation issues are discussed. In particular, a new performance specification and a falsification algorithm are developed. Simulation results are provided using a nonlinear model for the missile.


Astroparticle Physics | 2012

Space-quality data from balloon-borne telescopes: the High Altitude Lensing Observatory (HALO)

Jason Rhodes; Benjamin M. Dobke; Jeffrey Booth; Richard Massey; Kurt Liewer; Roger Smith; Adam Amara; Jack Aldrich; Joel Bergé; Naidu Bezawada; Paul Brugarolas; Paul J. Clark; Cornelius M. Dubbeldam; Richard S. Ellis; Carlos S. Frenk; Angus Gallie; Alan F. Heavens; David Henry; Eric Jullo; Thomas D. Kitching; James Lanzi; S. J. Lilly; David Lunney; Satoshi Miyazaki; David C. Morris; C. Paine; J. A. Peacock; Sergio Pellegrino; Roger Pittock; Peter J. Pool

We present a method for attaining sub-arcsecond pointing stability during sub-orbital balloon flights, as designed for in the High Altitude Lensing Observatory (HALO) concept. The pointing method presented here has the potential to perform near-space quality optical astronomical imaging at similar to 1-2% of the cost of space-based missions. We also discuss an architecture that can achieve sufficient thermo-mechanical stability to match the pointing stability. This concept is motivated by advances in the development and testing of Ultra Long Duration Balloon (ULDB) flights which promise to allow observation campaigns lasting more than three months. The design incorporates a multi-stage pointing architecture comprising: a gondola coarse azimuth control system, a multi-axis nested gimbal frame structure with arcsecond stability, a telescope de-rotator to eliminate field rotation, and a fine guidance stage consisting of both a telescope mounted angular rate sensor and guide CCDs in the focal plane to drive a Fast-Steering Mirror. We discuss the results of pointing tests together with a preliminary thermo-mechanical analysis required for sub-arcsecond pointing at high altitude. Possible future applications in the areas of wide-field surveys and exoplanet searches are also discussed


AIAA Guidance, Navigation and Control Conference and Exhibit | 2008

Attitude controller for the atmospheric entry of the Mars Science Laboratory

Paul Brugarolas; A. Miguel San Martin; Edward C. Wong

This paper describes the attitude controller for the atmospheric entry of the Mars Science Laboratory (MSL). The controller will command 8 RCS thrusters to control the 3- axis attitude of the entry capsule. The Entry Controller is formulated as three independent channels in the control frame, which is nominally aligned with the stability frame. Each channel has a feedfoward and a feedback path. The feedforward path enables fast response to large bank commands. The feedback path stabilizes the vehicle angle of attack and sideslip around its trim position, and tracks bank commands. The feedback path has a PD/D control structure with deadbands that minimizes fuel usage. The performance of this design is demonstrated via computer simulations.


Journal of Guidance Control and Dynamics | 2002

System Identification of a Nonlinear Mode for the Shuttle Radar Topography Mission

Paul Brugarolas; David S. Bayard; John T. Spanos; William G. Breckenridge

A study is presented to identify a nonlinear bending mode for a 60-m space structure. This study was done in support of the Shuttle Radar Topography Mission (SRTM) and postflight height reconstruction efforts. For this purpose, one linear model and three nonlinear models of the structural mode were considered and evaluated. The best model was determined based on in-flight data collected during the mission and was implemented as part of the final ground software that was used for reconstructing relative radar antenna motion for the SRTM interferometer payload. High accuracy estimates of the relative states were essential for supporting the motion compensation algorithm used in the radar interferometry processor for calculating the desired topographic maps. The improvement resulting fromidentifying nonlinear modal behavior contributed to meeting mission performance requirements.


ieee aerospace conference | 2012

System verification of MSL Skycrane using an integrated ADAMS simulation

Christopher White; George Antoun; Paul Brugarolas; Shyh-Shiuh Lih; Chia-Yen Peng; Linh Phan; Alejandro M. San Martin; Steven W. Sell; Gurkirpal Singh

Mars Science Laboratory (MSL) will use the Skycrane architecture to execute final descent and landing maneuvers. The Skycrane phase uses closed-loop feedback control throughout the entire phase, starting with rover separation, through mobility deploy, and through touchdown, ending only when the bridles have completely slacked. The integrated ADAMS simulation described in this paper couples complex dynamical models created by the mechanical subsystem with actual GNC flight software algorithms that have been compiled and linked into ADAMS. These integrated simulations provide the project with the best means to verify key Skycrane requirements which have a tightly coupled GNC-Mechanical aspect to them. It also provides the best opportunity to validate the design of the algorithm that determines when to cut the bridles. The results of the simulations show the excellent performance of the Skycrane system.


AIAA Guidance, Navigation and Control Conference and Exhibit | 2008

A Faceted Shape Model Approach to Altimetry and Velocimetry for Spacecraft Exploration of Irregularly Shaped Bodies

David S. Bayard; Paul Brugarolas; Stephen B. Broschart

Range and velocity sensors based on lidar or radar with multiple beams are often used to measure the altitude and velocity, respectively, of a spacecraft above a target body. A difficulty that arises when navigating about small bodies such as asteroids or comets, is that the notion of altitude is largely obscured by the irregular shape of the target surface. This paper develops a method to incorporate the multibeam altimeter and Doppler velocimeter measurements into the on-board spacecraft state estimator by using information from a faceted shape model representation of the target body surface. The faceted shape model representation is very general and does not place any restriction on the surface complexity. This allows the estimation method to be applicable to a broad class of irregularly shaped target bodies.


Ceas Space Journal | 2015

In-flight experience of the Mars Science Laboratory Guidance, Navigation, and Control system for Entry, Descent, and Landing

Miguel San Martin; Gavin F. Mendeck; Paul Brugarolas; Gurkirpal Singh; Frederick Serricchio; Steven W. Lee; Edward C. Wong; John C. Essmiller


International Journal of Robust and Nonlinear Control | 2004

Learning about dynamical systems via unfalsification of hypotheses

Paul Brugarolas; Michael G. Safonov


Guidance, Navigation, and Control Conference and Exhibit | 1999

Attitude Determination for the Shuttle Radar Topography Mission

Edward C. Wong; William G. Breckenridge; Dhemetrios Boussalis; Paul Brugarolas

Collaboration


Dive into the Paul Brugarolas's collaboration.

Top Co-Authors

Avatar

David S. Bayard

California Institute of Technology

View shared research outputs
Top Co-Authors

Avatar
Top Co-Authors

Avatar

Bryan H. Kang

Jet Propulsion Laboratory

View shared research outputs
Top Co-Authors

Avatar

Dhemetrios Boussalis

California Institute of Technology

View shared research outputs
Top Co-Authors

Avatar

Edward C. Wong

California Institute of Technology

View shared research outputs
Top Co-Authors

Avatar

Miguel San Martin

California Institute of Technology

View shared research outputs
Top Co-Authors

Avatar

Alejandro M. San Martin

California Institute of Technology

View shared research outputs
Top Co-Authors

Avatar

Allen Chen

Massachusetts Institute of Technology

View shared research outputs
Top Co-Authors

Avatar

David W. Way

Langley Research Center

View shared research outputs
Top Co-Authors

Avatar

Frederick Serricchio

California Institute of Technology

View shared research outputs
Researchain Logo
Decentralizing Knowledge