详情

原文传递 Peak-Seeking Optimization of Trim for Reduced Fuel Consumption: Architecture and Performance Predictions.

题名：	Peak-Seeking Optimization of Trim for Reduced Fuel Consumption: Architecture and Performance Predictions.
作者：	Brown, N.; Schaefer, J.
关键词：	Algorithms; Control Surfaces; F-18 Aircraft; Flight Control; Flight Tests; Fuel Consumption; Kalman Filters; Optimization; Performance Prediction; Propellant Consumption; Simulation
摘要：	A peak-seeking control approach for real-time trim configuration optimization for reduced fuel consumption has been developed by researchers at the National Aeronautics and Space Administration (NASA) Dryden Flight Research Center to address the goals of the NASA Environmentally Responsible Aviation project to reduce fuel burn and emissions. The peak-seeking control approach is based on a steepest-descent algorithm using a time-varying Kalman filter to estimate the gradient of a performance function of fuel flow versus control surface positions. In real-time operation, deflections of symmetric ailerons, trailing-edge flaps, and leading-edge flaps of an FA-18 airplane (McDonnell Douglas, now The Boeing Company, Chicago, Illinois) are controlled for optimization of fuel flow. This presentation presents the design and integration of this peak-seeking controller on a modified NASA FA-18 airplane with research flight control computers. A research flight was performed to collect data to build a realistic model of the performance function and characterize measurement noise. This model was then implemented into a nonlinear six-degree-of-freedom FA-18 simulation along with the peak-seeking control algorithm. With the goal of eventual flight tests, the algorithm was first evaluated in the improved simulation environment. Results from the simulation predict good convergence on minimum fuel flow with a 2.5-percent reduction in fuel flow relative to the baseline trim of the aircraft.
报告类型：	科技报告