Hierarchical Control of Aircraft Electro-Thermal Systems

A hierarchical model predictive control (MPC) approach is developed for energy management of aircraft electro-thermal systems. High-power electrical systems on board modern and future aircraft perform a variety of mission- and flight-critical tasks, while thermal management systems actively cool these electronics to satisfy component-specific temperature constraints, ensuring safe and reliable operation. In this paper, coordination of these electrical and thermal systems is performed using a hierarchical control approach that decomposes the multi-energy domain, constrained optimization problem into smaller, more computationally efficient problems that can be solved in real-time. A hardware-in-the-loop (HIL) experimental testbed is used to evaluate the proposed hierarchical MPC in comparison to a baseline controller for a scaled, laboratory representation of an aircraft electro-thermal system. Experimental results demonstrate that the proposed approach outperforms the baseline controller across a range of electrical loading in terms of both efficient energy management and constraint satisfaction.

[1]  A. Alleyne,et al.  Dynamic Thermal Management for Aerospace Technology: Review and Outlook , 2017 .

[2]  Andrew G. Alleyne,et al.  Experimental Validation of Graph-Based Hierarchical Control for Thermal Management , 2018, Journal of Dynamic Systems, Measurement, and Control.

[3]  Andrew G. Alleyne,et al.  PowerFlow: A Toolbox for Modeling and Simulation of Aircraft Systems , 2015 .

[4]  Riccardo Scattolini,et al.  Architectures for distributed and hierarchical Model Predictive Control - A review , 2009 .

[5]  Andrew G. Alleyne,et al.  Hardware-in-the-loop validation of advanced fuel thermal management control , 2017 .

[6]  Tim Oliver Deppen Optimal energy use in mobile applications with storage , 2013 .

[7]  C. Bailey,et al.  Thermal Management Technologies for Electronic Packaging: Current Capabilities and Future Challenges for Modelling Tools , 2008, 2008 10th Electronics Packaging Technology Conference.

[8]  Andrew G. Alleyne,et al.  Graph-based hierarchical control of thermal-fluid power flow systems , 2017, 2017 American Control Conference (ACC).

[9]  Anouck Girard,et al.  Distributed MPC via ADMM for Coordination and Control of More Electric Aircraft Subsystems , 2017 .

[10]  Judith Rubinstein,et al.  Study of the Light Utility Helicopter (LUH) Acquisition Program as a Model for Defense Acquisition of Nondevelopmental Items , 2014 .

[11]  Andrew G. Alleyne,et al.  Dynamic temperature estimation of power electronics systems , 2017, 2017 American Control Conference (ACC).

[12]  Matthew A. Williams A framework for the control of electro-thermal aircraft power systems , 2017 .

[13]  Kathryn Fraughnaugh,et al.  Introduction to graph theory , 1973, Mathematical Gazette.

[14]  Alberto L. Sangiovanni-Vincentelli,et al.  Optimal load management system for Aircraft Electric Power distribution , 2013, 52nd IEEE Conference on Decision and Control.

[15]  David B. Doman Rapid Mission Planning for Aircraft Thermal Management , 2015 .

[16]  Anouck Girard,et al.  Coordinated Model Predictive Control of Aircraft Gas Turbine Engine and Power System , 2017 .

[17]  Wright-Patterson Afb,et al.  Energy Management of an Aircraft Electrical System , 2010 .

[18]  Jamie S. Ervin,et al.  Refrigerant Charge Management and Control for Next-Generation Aircraft Vapor Compression Systems (Postprint) , 2013 .

[19]  D.A. Cartes,et al.  A Control System Test Bed for Demonstration of Distributed Computational Intelligence Applied to Reconfi guring Heterogeneous Systems , 2007, IEEE Instrumentation & Measurement Magazine.

[20]  Andrew G. Alleyne,et al.  Hierarchical Control of Multi-Domain Power Flow in Mobile Systems: Part I — Framework Development and Demonstration , 2015 .

[21]  Rory A. Roberts,et al.  Vehicle Level Tip-to-Tail Modeling of an Aircraft , 2014 .

[22]  Andrew G. Alleyne,et al.  Experimental validation of graph-based modeling for thermal fluid power flow systems , 2016 .

[23]  Alireza Behbahani,et al.  Aircraft Integration Challenges and Opportunities for Distributed Intelligent Control, Power, Thermal Management, Diagnostic and Prognostic Systems , 2014 .

[24]  Wright-Patterson Afb,et al.  INVENT Modeling, Simulation, Analysis and Optimization , 2010 .

[25]  Ilya V. Kolmanovsky,et al.  Integrated/coordinated control of aircraft gas turbine engine and electrical power system: Towards large electrical load handling , 2016, 2016 IEEE 55th Conference on Decision and Control (CDC).

[26]  David B. Doman Fuel Flow Topology and Control for Extending Aircraft Thermal Endurance , 2018 .

[27]  Wright-Patterson Afb,et al.  Thermal Analysis of an Integrated Aircraft Model , 2010 .

[28]  Ilya V. Kolmanovsky,et al.  Predictive propulsion and power control for large transient power loads in a More Electric Aircraft , 2017, 2017 American Control Conference (ACC).

[29]  Andrew G. Alleyne,et al.  Model-driven system identification of transcritical vapor compression systems , 2005, IEEE Transactions on Control Systems Technology.

[30]  J. Lofberg,et al.  YALMIP : a toolbox for modeling and optimization in MATLAB , 2004, 2004 IEEE International Conference on Robotics and Automation (IEEE Cat. No.04CH37508).

[31]  Changyun Wen,et al.  Intelligent power allocation and load management of more electric aircraft , 2015, 2015 IEEE 11th International Conference on Power Electronics and Drive Systems.

[32]  Andrew G. Alleyne,et al.  Passivity and Decentralized MPC of Switched Graph-Based Power Flow Systems* , 2018, 2018 Annual American Control Conference (ACC).

[33]  Eric Walters,et al.  Integrated Aircraft Electrical Power System Modeling and Simulation Analysis , 2010 .

[34]  Andrew G. Alleyne,et al.  Dynamical Graph Models of Aircraft Electrical, Thermal, and Turbomachinery Components , 2018 .