Motion-Based Piloted Simulation Evaluation of a Control Allocation Technique to Recover from Pilot Induced Oscillations
Author(s) -
Robert Craun,
Diana Acosta,
Steven D. Beard,
Michael W. Leonard,
G. H. Hardy,
Michael J. Weinstein,
Yıldıray Yıldız
Publication year - 2013
Publication title -
aiaa guidance, navigation, and control (gnc) conference
Language(s) - English
Resource type - Conference proceedings
DOI - 10.2514/6.2013-4926
Subject(s) - computer science , motion control , motion (physics) , simulation , control (management) , control theory (sociology) , artificial intelligence , robot
This paper describes the maturation of a control allocation technique designed to assist pilots in the recovery from pilot induced oscillations (PIOs). The Control Allocation technique to recover from Pilot Induced Oscillations (CAPIO) is designed to enable next generation high efficiency aircraft designs. Energy efficient next generation aircraft require feedback control strategies that will enable lowering the actuator rate limit requirements for optimal airframe design. One of the common issues flying with actuator rate limits is PIOs caused by the phase lag between the pilot inputs and control surface response. CAPIO utilizes real-time optimization for control allocation to eliminate phase lag in the system caused by control surface rate limiting. System impacts of the control allocator were assessed through a piloted simulation evaluation of a non-linear aircraft simulation in the NASA Ames Vertical Motion Simulator. Results indicate that CAPIO helps reduce oscillatory behavior, including the severity and duration of PIOs, introduced by control surface rate limiting.
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