A framework for the control of electro-thermal aircraft power systems

Williams, Matthew A.

Permalink

https://hdl.handle.net/2142/99285 Copy

Description

Title

A framework for the control of electro-thermal aircraft power systems

Author(s)

Williams, Matthew A.

Issue Date

2017-09-07

Director of Research (if dissertation) or Advisor (if thesis)

Alleyne, Andrew

Doctoral Committee Chair(s)

Alleyne, Andrew

Committee Member(s)

• Mehta, Prashant
• Pilawa, Robert
• Hencey, Brandon

Department of Study

Mechanical Sci & Engineering

Discipline

Mechanical Engineering

Degree Granting Institution

University of Illinois at Urbana-Champaign

Degree Name

Ph.D.

Degree Level

Dissertation

Keyword(s)

• Hierarchical control
• Model predictive control
• Aircraft power systems
• Energy management
• Graph-based modeling
• Control systems

Abstract

This dissertation presents a hierarchical controller framework that utilizes model predictive controllers at multiple time scales in order to manage the operation of aircraft power systems. With current and next generation aircraft replacing traditional power systems with electrically powered components, the coupling between an aircraft engine, electrical system, and thermal management system is becoming increasingly more complex. This presents a unique control problem that requires coordination between the generation, distribution, and consumption of power on board an aircraft, while also maintaining performance guarantees for various systems. The proposed hierarchical control framework splits decision making into multiple levels with each level having a unique update rate. At upper levels, controllers are designed with prediction horizons that can estimate plant performance one hour into the future. Using this extended prediction horizon, the upper level controllers generate references to pass down the hierarchy to lower level controllers. At the lower levels, controllers focus on tracking references from high level controllers while also mitigating high-frequency disturbances. The combination of slow update, long prediction horizon controllers with fast update, short prediction horizon controllers enables the hierarchical control framework to achieve excellent performance and disturbance rejection. A candidate aircraft power system is developed in MATLAB/Simulink using high-fidelity component models. Graph-based modeling techniques are used to generate suitable models for MPC controllers at each layer of the hierarchical control structure. The proposed hierarchical control framework is tested on the high-fidelity Simulink model and compared to a baseline logic and PI controller. Controllers are evaluated on figures of merit including specific fuel consumption, thermal endurance, and remaining thermal capacitance at the end of a mission. Results show that the proposed control approach is capable of making thermally-conscious electrical system decisions to help reduce the amount of waste heat generated by the aircraft in order to achieve mission success.

Graduation Semester

2017-12

Type of Resource

text

Permalink

http://hdl.handle.net/2142/99285

Copyright and License Information

Copyright 2017 Matthew A. Williams

Owning Collections