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Distributed MPC via ADMM for Coordination and Control of More Electric Aircraft Subsystems

[+] Author Affiliations
William Dunham, Anouck Girard, Ilya Kolmanovsky

University of Michigan, Ann Arbor, MI

Brandon Hencey

Air Force Research Laboratories, Wright-Patterson Air Force Base, OH

Paper No. DSCC2017-5160, pp. V002T14A007; 10 pages
doi:10.1115/DSCC2017-5160
From:
  • ASME 2017 Dynamic Systems and Control Conference
  • Volume 2: Mechatronics; Estimation and Identification; Uncertain Systems and Robustness; Path Planning and Motion Control; Tracking Control Systems; Multi-Agent and Networked Systems; Manufacturing; Intelligent Transportation and Vehicles; Sensors and Actuators; Diagnostics and Detection; Unmanned, Ground and Surface Robotics; Motion and Vibration Control Applications
  • Tysons, Virginia, USA, October 11–13, 2017
  • Conference Sponsors: Dynamic Systems and Control Division
  • ISBN: 978-0-7918-5828-8
  • Copyright © 2017 by ASME

abstract

A distributed model predictive controller is developed for the coordination of subsystems in a more electric aircraft, and its performance is compared with the centralized MPC approach. The distributed MPC solution is based on the alternating direction method of multipliers, that allows local subsystem controllers to converge to a system wide optimal solution while enforcing local state and control constraints. Based on simulations, we demonstrate that this distributed approach to coordination of electrical power and engine subsystems has the potential to achieve comparable performance to the centralized solution.

Copyright © 2017 by ASME
Topics: Aircraft

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