AIAA AVIATION 2020 FORUM · 2020 · 12 citations · 10 references
Handling QualitiesAutomotive EngineeringEngineeringSoftware ToolsVehicle ControlControls Safety AnalysisVehicle Conceptual DesignSafety ScienceVehicle DynamicPowertrain SimulationFlight ControlMultiple RotorsAir Vehicle SystemModeling ApproachSystems EngineeringLogisticsTransportation EngineeringTransport SafetyMechatronicsComputer EngineeringLinear Perturbation DynamicsSafety ControlAerospace EngineeringBusinessFlight Control Systems
The combination of modern advances in electric propulsion, fly-by-wire controls, autonomy, and increasing demand for short range air taxi operations, is currently producing an outburst of vehicle designs more diverse than ever before. Advanced software tools are needed to support the rapid and safe introduction of any design into the airspace, including the safety of the deployed flight control system and vehicle handling qualities. This paper presents a methodology for building air taxi vehicle models with distributed electric propulsion for use in analyzing flight control system safety at the conceptual design level. The approach builds on existing software tools capable of outputting aeromechanics-based linear perturbation models for Vertical Take-off and Landing vehicles with multiple rotors. Rotor torque inputs are then converted into equivalent voltage control inputs, and the linear state and input dynamics matrices are modified to include electric motor dynamics with common parameters for direct-current electric motors. The linear perturbation dynamics are then stitched across multiple operating points into a quasi-Linear Parameter Varying model that covers the full flight envelope. A Model Predictive Controller is developed for use with the full envelope model, and a tradeoff analysis between handling quality and motor requirements is demonstrated using a six passenger NASA air taxi reference design.
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Constrained model predictive control: Stability and optimality
D.Q. Mayne, James B. Rawlings, Christopher V. Rao et al. · Automatica · 2000 · 8.4K citations
Engineering, Model-based Control Technique, Process Control +4