Implementation of a Rule-Based Open-Loop Control Strategy for a Hybrid-Electric Propulsions System on a Small RPA

Currently-fielded small electric-powered remotely-piloted aircraft (RPA) lack endurance desired by warfighters, and internal combustion engine (ICE) RPAs generate undesirable acoustic and thermal signatures. Hybrid-electric (HE) propulsion systems would use ICE power for cruise, electric power for endurance, and combine both electric power and ICE power for takeoff, climbing, and recharging onboard battery packs. Use of HE systems would eliminate undesirable signatures in addition to providing considerable fuel savings over time. Various combinations of six components were used in this HE system: the ICE, electric motor (EM), electromagnetic clutch, a one-way bearing, battery pack, and a propeller. Control of such a system in a small RPA has never been attempted before. A rule-based controller was developed in C code to manage this HE system. This system and its various sensors were analyzed on a custom-built dynamometer test stand that was developed in conjunction with other students. LabView screens were developed to aid this testing and interface with the sensor suite. The controller’s performance over 9 distinct operating modes, including 4 operational flying states, were validated to provide the most optimal operation of a HE-RPA system of about 13.6 kg (30.0

[1]  Mutasim A. Salman,et al.  Control strategies for parallel hybrid vehicles , 2000, Proceedings of the 2000 American Control Conference. ACC (IEEE Cat. No.00CH36334).

[2]  Todd A. Rotramel Optimization of Hybrid-Electric Propulsion Systems for Small Remotely-Piloted Aircraft , 2012 .

[3]  Ramakalyan Ayyagari,et al.  ADAPTIVE CONTROL OF MICRO AIR VEHICLES , 2011 .

[4]  Isseyas H. Mengistu,et al.  Small Internal Combustion Engine Testing for a Hybrid-Electric Remotely-Piloted Aircraft , 2012 .

[5]  T. Floquet,et al.  An observer design for the instantaneous torque estimation of an IC engine , 2005, 2005 IEEE Vehicle Power and Propulsion Conference.

[6]  Cary W. Wilson,et al.  Performance of a Small Internal Combustion Engine Using N-Heptane and Iso-Octane , 2012 .

[7]  John M. Miller,et al.  Propulsion Systems for Hybrid Vehicles , 2003 .

[8]  Narayana Prasad Padhy,et al.  Application of Genetic Algorithm for FACTS-based Controller Design , 2007 .

[9]  M. Winter,et al.  What are batteries, fuel cells, and supercapacitors? , 2004, Chemical reviews.

[10]  John B. Heywood,et al.  Two-Stroke Cycle Engine: It's Development, Operation and Design , 1999 .

[11]  Petter Krus,et al.  Validation of Models for Small Scale Electric Propulsion Systems , 2010 .

[12]  Ryan M. Hiserote Analysis of Hybrid-Electric Propulsion System Designs for Small Unmanned Aircraft Systems , 2010 .

[13]  Hao Ying,et al.  Derivation and Experimental Validation of a Power-Split Hybrid Electric Vehicle Model , 2006, IEEE Transactions on Vehicular Technology.

[14]  Bernard Michini,et al.  Modeling and adaptive control of indoor unmanned aerial vehicles , 2009 .

[15]  Andrew A. Frank,et al.  Conceptual Design and Simulation of a Small Hybrid-Electric Unmanned Aerial Vehicle , 2006 .

[16]  Andrew A. Frank,et al.  Neural network control of a parallel hybrid-electric propulsion system for a small unmanned aerial vehicle , 2005 .

[17]  Sema E. Alptekin,et al.  Optimization of the Fuzzy Logic Controller for an Autonomous UAV , 2005, EUSFLAT Conf..

[19]  Matthew D Rippl Sizing Analysis for Aircraft Utilizing Hybrid-Electric Propulsion Systems , 2012 .

[20]  John David Anderson,et al.  Aircraft performance and design , 1998 .

[21]  T. A. Ventrone A logical progression , 1993 .

[22]  Steven J. Zaloga Unmanned Aerial Vehicles , 2008 .

[23]  Shyam Menon,et al.  Performance Measurement and Scaling in Small Internal Combustion Engines , 2003 .

[24]  John B. Heywood,et al.  Internal combustion engine fundamentals , 1988 .

[25]  John J. Moskwa,et al.  Engine load torque estimation using nonlinear observers , 1995, Proceedings of 1995 34th IEEE Conference on Decision and Control.

[26]  Judith R. Goodstein,et al.  Godfather of the Hybrid , 2004 .

[27]  Martin T. Hagan,et al.  Neural networks for control , 1999, Proceedings of the 1999 American Control Conference (Cat. No. 99CH36251).

[28]  Jan Jantzen,et al.  A Tutorial On Adaptive Fuzzy Control , 2002 .

[29]  Katsuhiko Ogata,et al.  Modern Control Engineering , 1970 .

[30]  Huei Peng,et al.  A stochastic control strategy for hybrid electric vehicles , 2004, Proceedings of the 2004 American Control Conference.