دورية أكاديمية

변형된 오일러각 기반의 칼만필터를 이용한 자세 추정 성능 향상 ; Performance Improvement of Attitude Estimation Using Modified Euler Angle Based Kalman Filter

التفاصيل البيبلوغرافية
العنوان: 변형된 오일러각 기반의 칼만필터를 이용한 자세 추정 성능 향상 ; Performance Improvement of Attitude Estimation Using Modified Euler Angle Based Kalman Filter
المؤلفون: 강철우, 유영민, 박찬국
المساهمون: Kang, Chul Woo, Yoo, Young Min, Park, Chan Gook
بيانات النشر: 제어·로봇·시스템학회
سنة النشر: 2008
المجموعة: Seoul National University: S-Space
مصطلحات موضوعية: attitude reference system, ARS, attitude sensor, inertial sensor, gyro
الوصف: To calculate the attitude in ARS(Attitude Reference System) using 3 gyros and 3 accelerometers, gyro drift must be compensated with accelerometer to avoid divergence of attitude error. Kalman filter is most popular method to integrate those two sensor outputs. In this paper, new Kalman filtering method is proposed for roll and pitch attitude estimation. New states are defined to make linear equation and algorithm for changing Kalman filter parameters is proposed to ignore disturbances of acceleration. This algorithm can be easily applied to low cost ARS ; NSL(KOSEF)
نوع الوثيقة: article in journal/newspaper
اللغة: Korean
تدمد: 1976-5622
العلاقة: 제어·로봇·시스템학회 논문지 vol. 14, no. 9, pp. 1-5; http://hdl.handle.net/10371/69254Test
الإتاحة: http://hdl.handle.net/10371/69254Test
رقم الانضمام: edsbas.5913BF58
قاعدة البيانات: BASE