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- W2141058117 abstract "This paper proposes a methodology for the task of comparing the performance of flight control laws using flight data recorded under non-homogeneous atmospheric conditions and dissimilar pilot input. Small differences in atmospheric conditions can potentially impact significantly the evaluation of the controller performance and prevent consistent comparison especially in the case of reduced size aircraft (autonomous or remotely piloted). Consistent deterministic control inputs can only be guaranteed by some form of on-board excitation system. An algorithm is developed for flight data reduction to account for such dissimilarities. The method presented in this paper is developed for the specific purpose of comparing model following control laws based on non-linear dynamic inversion with neural network augmentation. Evaluation parameters based on angular rate tracking errors are defined and used for the comparison. The procedure is documented using flight data from the WVU YF22 research aircraft model - a platform for testing fault tolerant control laws." @default.
- W2141058117 created "2016-06-24" @default.
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- W2141058117 date "2006-06-25" @default.
- W2141058117 modified "2023-09-25" @default.
- W2141058117 title "Data Reduction Issues for Performance Evaluation and Comparison of Flight Control Laws" @default.
- W2141058117 cites W2073626940 @default.
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- W2141058117 doi "https://doi.org/10.2514/6.2006-6003" @default.
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