التفاصيل البيبلوغرافية
| العنوان: |
Development of an intelligent and hybrid scheme for rapid ins alignment |
| المؤلفون: |
Chiang, Kai-Wei, Huang, Yun-Wen, Niu, Xiaoji |
| المساهمون: |
Department of Geomatics |
| بيانات النشر: |
Chinese Institute of Engineers |
| سنة النشر: |
2007 |
| المجموعة: |
National Cheng Kung University: NCKU Institutional Repository / 國立成功大學機構典藏 |
| مصطلحات موضوعية: |
INS, alignment, Kalman filter, ANFIS |
| الوصف: |
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. |
| نوع الوثيقة: |
article in journal/newspaper |
| وصف الملف: |
119 bytes; application/octet-stream |
| اللغة: |
English |
| العلاقة: |
Journal-Chinese Institute of Engineers, Vol. 30, No. 4, pp. 759-763; http://ir.lib.ncku.edu.tw/handle/987654321/51161Test |
| الإتاحة: |
http://ir.lib.ncku.edu.tw/handle/987654321/51161Test |
| رقم الانضمام: |
edsbas.72B12488 |
| قاعدة البيانات: |
BASE |
