Parallel hybrid-electric propulsion systems would be beneficial for small unmanned vehicles (UAVs) used for military, homeland security, and disaster-monitoring missions. The benefits, due to the hybrid and electric-only modes, include increased time-on-station and greater range as compared to electric-powered UAVs and stealth modes not available with gasoline-powered UAVs. This dissertation contributes to the research fields of small unmanned aerial vehicles, hybrid-electric propulsion system control, and intelligent control. A conceptual design of a small UAV with a parallel hybrid-electric propulsion system is provided. The UAV is intended for intelligence, surveillance, and reconnaissance (ISR) missions. A conceptual design reveals the trade-offs that must be considered to take advantage of the hybrid-electric propulsion system. The resulting hybrid-electric propulsion system is a two- point design that includes an engine primarily sized for cruise speed and an electric motor and battery pack that are primarily sized for a slower endurance speed. The electric motor provides additional power for take-off, climbing, and acceleration and also serves as a generator during charge-sustaining operation or regeneration. The intelligent control of the hybrid-electric propulsion system is based on an instantaneous optimization algorithm that generates a hyper-plane from the nonlinear efficiency maps for the internal combustion engine, electric motor, and lithium-ion battery pack. The hyper-plane incorporates charge-depletion and charge-sustaining strategies. The optimization algorithm is flexible and allows the operator/user to assign relative importance between the use of gasoline, electricity, and recharging depending on the intended mission. A MATLAB/Simulink model was developed to test the control algorithms.
Neural Network Control of a Parallel Hybrid-Electric Propulsion System for a Small Unmanned Aerial Vehicle
2005
283 pages
Report
No indication
English
Computers, Control & Information Theory , Rocket Engines & Motors , Aircraft , Avionics , Neural nets , Adaptive control systems , Parallel orientation , Drones , Electric propulsion , Hybrid propulsion , Computer program documentation , Algorithms , Military intelligence , Simulation , Theses , Artificial intelligence , Trade off analysis , Surveillance , Reconnaissance , Fuzzy logic , Uav(Unmanned aerial vehicles) , Cmac(Cerebellar model arithmetic computer) , Genetic algorithms , Power train control
On parallel hybrid-electric propulsion system for unmanned aerial vehicles
Online Contents | 2012
|MODELING OF HYBRID ELECTRIC PROPULSION SYSTEMS FOR SMALL UNMANNED AERIAL VEHICLES
British Library Conference Proceedings | 2012
|