TY - GEN
T1 - CONTROL DESIGN AND SIMULATION FRAMEWORK FOR AN AUTONOMOUS PARAMOTOR UAV
AU - Fiedler, Brett
AU - Redkar, Sangram
N1 - Funding Information:
The support provided by Arizona State University is gratefully acknowledged.
Publisher Copyright:
Copyright © 2022 by ASME.
PY - 2022
Y1 - 2022
N2 - This research develops a dynamics and control framework for an unmanned powered parachute system. The 6 DOF dynamics are derived from the first principle/fundamentals. The dynamic equations are simulated and validated within the MATLAB Simulink simulation environment. A Model Reference Adaptive Controller algorithm is utilized and simulated to update coefficients to control the plant more accurately. A Computational Fluid Dynamics (CFD) simulation using SimScale is used to estimate aerodynamic coefficients. This paper is presented as a building block/work in progress for future work on robust and efficient adaptive control of powered parachute aerial vehicles. Derivation of the dynamic equations is included in section two, while section three covers methods used to computationally define key aerodynamic coefficients and describe PPC simulation within the MATLAB Simulink environment. Finally, section four presents the results. Further research into this framework will include validating results through experimentation of the PPC aircraft and comparing dynamic model accuracy. Finally, more advanced control techniques will be applied to the PPC model in simulations and experiments.
AB - This research develops a dynamics and control framework for an unmanned powered parachute system. The 6 DOF dynamics are derived from the first principle/fundamentals. The dynamic equations are simulated and validated within the MATLAB Simulink simulation environment. A Model Reference Adaptive Controller algorithm is utilized and simulated to update coefficients to control the plant more accurately. A Computational Fluid Dynamics (CFD) simulation using SimScale is used to estimate aerodynamic coefficients. This paper is presented as a building block/work in progress for future work on robust and efficient adaptive control of powered parachute aerial vehicles. Derivation of the dynamic equations is included in section two, while section three covers methods used to computationally define key aerodynamic coefficients and describe PPC simulation within the MATLAB Simulink environment. Finally, section four presents the results. Further research into this framework will include validating results through experimentation of the PPC aircraft and comparing dynamic model accuracy. Finally, more advanced control techniques will be applied to the PPC model in simulations and experiments.
KW - Aerodynamic Coefficient
KW - Airfoil
KW - Dynamics Simulation
KW - Model Reference Adaptive Control
KW - Powered Parachute
UR - http://www.scopus.com/inward/record.url?scp=85142523744&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=85142523744&partnerID=8YFLogxK
U2 - 10.1115/DETC2022-91283
DO - 10.1115/DETC2022-91283
M3 - Conference contribution
AN - SCOPUS:85142523744
T3 - Proceedings of the ASME Design Engineering Technical Conference
BT - 46th Mechanisms and Robotics Conference (MR)
PB - American Society of Mechanical Engineers (ASME)
T2 - ASME 2022 International Design Engineering Technical Conferences and Computers and Information in Engineering Conference, IDETC-CIE 2022
Y2 - 14 August 2022 through 17 August 2022
ER -