Application of moving horizon method to states estimation from flight test data

Ari Legowo; Hiroshi Okub; Eiichi Muramatsu

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Application of moving horizon method to states estimation from flight test data

机译：动视线法在飞行试验数据状态估计中的应用

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This paper presents the application of the moving horizon states estimation (MHSE) method to estimate the states of nonlinear aircraft equation of motion from a dynamic maneuver's flight test data. To determine the optimum solution of minimizing the performance index, a quasi-Newton or gradient method is used. The present method also uses the armijo's line search gradient to guarantee the solution/estimation to converge faster to the global optimum estimate. The MHSE method is applied to flight test data of N250 PA-1 aircraft for parameter identification and flight path reconstruc- Tion. The result of estimation is also used to evaluate the accuracies of the measurement systems.

机译：本文介绍了移动地平线状态估计（MHSE）方法从动态操纵的飞行测试数据估计非线性飞机运动方程状态的应用。为了确定使性能指标最小的最佳解决方案，使用了拟牛顿法或梯度法。本方法还使用阿米霍的线搜索梯度来确保解/估计更快地收敛到全局最优估计。 MHSE方法应用于N250 PA-1飞机的飞行测试数据，以进行参数识别和飞行路径重构。估计结果还用于评估测量系统的准确性。

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来源
《Transactions of the Japan society for aeronautical and space sciences》 |2001年第145期|p.150-154|共5页
作者
Ari Legowo; Hiroshi Okub; Eiichi Muramatsu;
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作者单位

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收录信息美国《科学引文索引》(SCI);美国《工程索引》(EI);
原文格式 PDF
正文语种 eng
中图分类航空;
关键词
flight dynamics; flight testing; moving horizon state estimation; system identification;

机译：飞行动力学;飞行测试;移动视界状态估计;系统识别;

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Application of moving horizon method to states estimation from flight test data

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