Optimal Control and Energy Management for Hybrid Gas-Electric Propulsion

The paper considers a generic model for a turbofan engine coupled to electromechanical (EM) elements used for energy conversion and storage in electric form. The electromechanical systems apply torque to the engine shafts, allowing for controllable power injection or extraction to and from the engine. The standard proportional-integral (PI) control law used to command fuel flow for turbofan speed regulation is maintained for compatibility with industry practices, leaving the electromechanical torque to be specified. The paper adopts an optimal control approach for this purpose, where a weighted combination of electric energy consumption and fuel consumption is minimized subject to the dynamics of the electrified propulsion system. The solution for the optimal torques is given by linear state feedback plus bias, with gains calculated numerically from engine linearization data. Energy balance equations are derived and used to guide the optimization, evaluate the resulting power distributions, and check for errors. Simulation studies are presented for a chop-burst transient and for a realistic flight mission profile with environmental input variations. The paper shows the economic advantage of operating the engine with the electrified components. Specifically, fuel burn can be reduced in exchange for electric energy, which must be replenished, but at lower cost.

[1]  Alan H. Epstein,et al.  Considerations for Reducing Aviation’s CO2 with Aircraft Electric Propulsion , 2019, Journal of Propulsion and Power.

[2]  Rochdi Trigui,et al.  Optimal energy management of HEVs with hybrid storage system , 2013 .

[3]  Hanz Richter,et al.  Control With Optimal Energy Regeneration in Robot Manipulators Driven by Brushless DC Motors , 2018, Volume 1: Advances in Control Design Methods; Advances in Nonlinear Control; Advances in Robotics; Assistive and Rehabilitation Robotics; Automotive Dynamics and Emerging Powertrain Technologies; Automotive Systems; Bio Engineering Applications; Bio-Mecha.

[4]  Graeme Burt,et al.  Evaluation of the dynamic interactions between aircraft gas turbine engine and electrical system , 2008 .

[5]  Hanz Richter,et al.  Trajectory Optimization of Robots With Regenerative Drive Systems: Numerical and Experimental Results , 2018, IEEE Transactions on Robotics.

[6]  C. Friedrich,et al.  Hybrid-Electric Propulsion for Aircraft , 2015 .

[7]  Hanz Richter,et al.  Development and Experimental Validation of an Energy Regenerative Prosthetic Knee Controller and Prototype , 2018, Volume 1: Advances in Control Design Methods; Advances in Nonlinear Control; Advances in Robotics; Assistive and Rehabilitation Robotics; Automotive Dynamics and Emerging Powertrain Technologies; Automotive Systems; Bio Engineering Applications; Bio-Mecha.

[8]  Guangming Jin,et al.  Energy Regeneration From Suspension Dynamic Modes and Self-Powered Actuation , 2015, IEEE/ASME Transactions on Mechatronics.

[9]  Hanz Richter,et al.  A Framework for Control of Robots With Energy Regeneration , 2015 .

[10]  Dennis E. Culley,et al.  Turbine Electrified Energy Management (TEEM) For Enabling More Efficient Engine Designs , 2018, 2018 Joint Propulsion Conference.

[11]  B. Conway Electrochemical Supercapacitors: Scientific Fundamentals and Technological Applications , 1999 .

[12]  Hanz Richter,et al.  Advanced Control of Turbofan Engines , 2011 .

[13]  Poya Khalaf,et al.  Design, Control, and Optimization of Robots with Advanced Energy Regenerative Drive Systems , 2019 .

[14]  Dan Simon,et al.  Design optimization and control of a crank-slider actuator for a lower-limb prosthesis with energy regeneration , 2016, 2016 IEEE International Conference on Advanced Intelligent Mechatronics (AIM).

[15]  Gary B. Lamont,et al.  Evolutionary Algorithms for Solving Multi-Objective Problems , 2002, Genetic Algorithms and Evolutionary Computation.

[16]  Hanz Richter,et al.  Parametric optimization of stored energy in robots with regenerative drive systems , 2016, 2016 IEEE International Conference on Advanced Intelligent Mechatronics (AIM).

[17]  Thomas M. Lavelle,et al.  Toolbox for the Modeling and Analysis of Thermodynamic Systems (T-MATS) User's Guide , 2014 .

[18]  Joseph W. Connolly,et al.  Modeling and Control Design for a Turboelectric Single Aisle Aircraft Propulsion System , 2018, 2018 AIAA/IEEE Electric Aircraft Technologies Symposium (EATS).

[19]  Hanz Richter,et al.  Semiactive Virtual Control Method for Robots with Regenerative Energy-Storing Joints , 2014 .

[20]  Donald E. Kirk,et al.  Optimal control theory : an introduction , 1970 .

[21]  Hanz Richter,et al.  On Global, Closed-Form Solutions to Parametric Optimization Problems for Robots With Energy Regeneration , 2018 .

[22]  Link C Jaw,et al.  Aircraft Engine Controls: Design, System Analysis, and Health Monitoring , 2009 .

[23]  Ilya V. Kolmanovsky,et al.  Coordinated Model Predictive Control of Aircraft Gas Turbine Engine with Simplified Electrical System Model , 2018, 2018 Annual American Control Conference (ACC).

[24]  R. Todd,et al.  Supercapacitor-based energy management for future aircraft systems , 2010, 2010 Twenty-Fifth Annual IEEE Applied Power Electronics Conference and Exposition (APEC).

[25]  Craig Underwood,et al.  Super-capacitor energy storage for micro-satellites: Feasibility and potential mission applications , 2013 .

[26]  Jens Friedrichs,et al.  Conceptual Design of Operation Strategies for Hybrid Electric Aircraft , 2018 .

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

[28]  Richard T. Meyer,et al.  A Survey of Hybrid Electric Propulsion for Aircraft , 2017 .

[29]  George L. Thomas,et al.  Dynamic Analysis of the STARC-ABL Propulsion System , 2019, AIAA Propulsion and Energy 2019 Forum.

[30]  Kody M. Powell,et al.  Nonlinear model predictive control for a heavy-duty gas turbine power plant , 2013, 2013 American Control Conference.

[31]  Heath Hofmann,et al.  Energy management strategies comparison for electric vehicles with hybrid energy storage system , 2014 .

[32]  A. J. Mitcham,et al.  Permanent magnet generator options for the More Electric Aircraft , 2002 .