News

Bennett Awarded the Aerospace Engineering Graduate Excellence Fellowship

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For the Fall of 2025, Jillian Bennett received the Aerospace Engineering Graduate Excellence Fellowship, a competitive fellowship selected by the AERO Graduate Program Committee with an award of $1,000.

Jillian is a Master of Science student, with a focus in Dynamics & Control. She is currently on the KAMS project, working on adaptive control for multiple time scale systems. She has been in the VSCL since Spring 2023, working on flight testing for the System Identification project and extending KAMS as part of her thesis work. Jillian has an interest in flight testing, nonlinear control, and vehicle dynamics.

VSCL Students Graduate with B.S. Degrees

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Congratulations to the VSCL undergraduate research assistants who graduated with a Bachelor of Science in Aerospace Engineering from Texas A&M University on May 10th 2024!

McQuinn Awarded the J. Malon Southerland ’65 Leadership Scholarship

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VSCL graduate student Cassie-Kay McQuinn is the recipient of the J. Malon Southerland Aggie Leader Scholarship. The J. Malon Southerland Aggie Leader Scholarship program was created to recognize and reward students involvement at Texas A&M University. The scholarship was named in honor of J. Malon Southerland, former TAMU Vice President for Student Affairs. While a student at Texas A&M Cassie-Kay has been involved in leadership through membership of the Student Engineers’ Council (SEC), completion of the Zachry Leadership Program (ZLP), and has been Vice President then President of the Texas A&M chapter of Sigma Gamma Tau (SGT) the National Honor Society for Aerospace Engineering.

Cassie-Kay McQuinn Defends Masters Thesis

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Cassie-Kay McQuinn (B.S. Aerospace Engineering, TAMU) successfully defended her Masters thesis titled “Online Near-Real Time Open-Loop System Identification from Closed-Loop Flight Test Data“.

Cassie-Kay’s thesis investigated identifying linear dynamic models onboard a vehicle in near-real time with and without an active controller. This is performed for a small Unmanned Air System (UAS) utilizing low cost, commercial-off-the-shelf components. Bare airframe longitudinal, lateral/directional and combined longitudinal lateral/directional models of the test vehicle are generated both onboard the vehicle during flight and offline during post-processing. The Developmental Flight Test Instrumentation 2 (DFTI2), utilizing the Robot Operating System (ROS), is extended to compute system models onboard the vehicle from both open-loop and closed-loop data. Additionally, a controller is implemented into the system, external to the primary flight controller, to generate and record controller inputs for the closed-loop system. The Observer/Kalman filter Identification (OKID) algorithm is used to generate locally linear models of the flight vehicle. Models are generated independent of actuator dynamics by mapping deflection angle to measured servo potentiometer readings. Orthogonal Schroeder sine sweep excitations are utilized to reduce potential control coupling while also exciting multiple frequencies. Identified models are presented and evaluated. Offline analysis of closed-loop flight data provides insight into the controller utilized in flight. Results presented in the thesis show the extended system can generate models suitable for describing the dynamics of the vehicle operating both with and without a controller implemented.

This work is sponsored by the National Science Foundation (NSF)  Center for Autonomous Air Mobility and Sensing (CAAMS). Conference and journal papers are being written on this work. Cassie-Kay’s is the 60th graduate degree earned by a VSCL graduate student.

Krpec and Valasek Publish “Vision-based Marker-less Landing of a UAS on Moving Ground Vehicle” in Journal of Aerospace Information Systems

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VSCL Alumni Blake Krpec, Dr. John Valasek, and Dr. Stephen Nogar with the DEVCOM Army Research Lab published the paper “Vision-based Marker-less Landing of a UAS on Moving Ground Vehicle” in Journal of Aerospace Information Systems.

Current autonomous unmanned aerial systems (UAS) commonly use vision-based landing solutions that depend upon fiducial markers to localize a static or mobile landing target relative to the UAS. This paper develops and demonstrates an alternative method to fiducial markers with a combination of neural network-based object detection and camera intrinsic properties to localize an unmanned ground vehicle (UGV) and enable autonomous landing. Implementing this visual approach is challenging given the limited compute power on board the UAS, but is relevant for autonomous landings on targets for which affixing a fiducial marker a priori is not possible, or not practical. The position estimate of the UGV is used to formulate a landing trajectory that is then input to the flight controller. Algorithms are tailored towards low size, weight, and power constraints as all compute and sensing components weigh less than 100 g. Landings were successfully demonstrated in both simulation and experimentally on a UGV traveling in both a straight line and while turning. Simulation landings were successful at UGV speeds of up to 3.0 m/s, and experimental landings at speeds up to 1.0 m/s.

 

VSCL Hosts Texas Department of Transportation (TxDOT) and Texas A&M Transportation Institute (TTI)

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VSCL hosts Texas Department of Transportation (TxDOT) and Texas A&M Transportation Institute (TTI) at the Texas A&M University UAS Flight Testing Facility at RELLIS Campus to discuss recent advances in UAS for infrastructure assessment. TxDOT members met with VSCL lab director Dr. Valasek and VSCL graduate students Jillian Bennett, Payton Clem, Hannah Lehman, Noah Luna, Cassie-Kay McQuinn, and Erin Swansen about the UAS research that VSCL conducts at the flight testing facility and toured the grounds.

McQuinn presents at IEEE Aerospace Conference in Big Sky, Montana

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VSCL graduate student Cassie-Kay McQuinn presented “Run Time Assurance for Simultaneous Constraint Satisfaction During Spacecraft Attitude Maneuvering” at the 2024 IEEE Aerospace Conference this month. This work was completed as part of her internship with AFRL in summer 2023.

A fundamental capability for On-orbit Servicing, Assembly, and Manufacturing (OSAM) is inspection of the vehicle to be serviced, or the structure being assembled. The focus of this research is developing Active-Set Invariance Filtering (ASIF) Run Time Assurance (RTA) filters that monitor system behavior and the output of the primary controller to enforce attitude requirements pertinent for autonomous space operations. Slack variables are introduced into the ASIF controller to prioritize safety constraints when a solution to all safety constraints is infeasible. Monte Carlo simulation results as well as plots of example cases are shown and evaluated for a three degree of freedom spacecraft with reaction wheel attitude control. A preprint of the paper is available at: https://arxiv.org/abs/2402.14723

Bennett Receives Graduate Excellence Fellowship Award

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VSCL Graduate Assistant Researcher, Jillian Bennett, is a recipient of the Graduate Excellence Fellowship Award for Spring 2024. This is a competitive, merit-based fellowship awarded to students by the Aerospace Engineering Graduate Committee. The fellowship includes a $1,000 supplemental award for Spring 2024.

Jillian is a Master of Science student, with a focus in Dynamics & Control. She is currently on the KAMS project, working on adaptive control for multiple time scale systems. She has been in the VSCL since Spring 2023, previously working on flight testing for the System Identification project. Jillian has an interest in flight testing, nonlinear control, and vehicle dynamics.