دورية
Development of an intelligent and hybrid scheme for rapid INS alignment
| العنوان: | Development of an intelligent and hybrid scheme for rapid INS alignment |
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| المؤلفون: | Chiang, Kai-Wei, Huang, Yun-Wen, Niu, Xiaoji |
| المصدر: | Journal of the Chinese Institute of Engineers; June 2007, Vol. 30 Issue: 4 p759-763, 5p |
| مستخلص: | Inertial navigation systems (INS) have been widely applied in many applications, such as precise positioning, navigation and guidance. Generally speaking, the initial attitude angles between the body and navigation frames are estimated during the INS alignment process using an optimal estimator such as the Kalman filter. Due to measurement errors, the Kalman filter takes about up to fifteen minutes to converge. In this article, a hybrid scheme integrating an Adaptive Neuro-Fuzzy Inference System with the Kalman filter is proposed to achieve a faster and more accurate alignment process. The preliminary results indicate that a faster alignment with superior accuracy can be achieved through the use of the proposed scheme. |
| قاعدة البيانات: | Supplemental Index |
| تدمد: | 02533839 21587299 |
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| DOI: | 10.1080/02533839.2007.9671302 |