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.
- Dynamic Systems and Control Division
Distributed MPC via ADMM for Coordination and Control of More Electric Aircraft Subsystems
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Dunham, W, Hencey, B, Girard, A, & Kolmanovsky, I. "Distributed MPC via ADMM for Coordination and Control of More Electric Aircraft Subsystems." Proceedings of the 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. V002T14A007. ASME. https://doi.org/10.1115/DSCC2017-5160
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