An Initial Alignment Technology of Shearer Inertial Navigation Positioning Based on a Fruit Fly-Optimized Kalman Filter Algorithm
المؤلفون المشاركون
Wang, Hao
Tan, Chao
Wan, Miao
Wang, Zhongbin
Si, Lei
المصدر
Computational Intelligence and Neuroscience
العدد
المجلد 2020، العدد 2020 (31 ديسمبر/كانون الأول 2020)، ص ص. 1-15، 15ص.
الناشر
Hindawi Publishing Corporation
تاريخ النشر
2020-10-13
دولة النشر
مصر
عدد الصفحات
15
التخصصات الرئيسية
الملخص EN
The shearer is one of the core equipment of the fully mechanized coal face.
The fast and accurate positioning of the shearer is the prerequisite for its memory cutting, intelligent height adjustment, and intelligent speed adjustment.
Inertial navigation technology has many advantages such as strong autonomy, good concealment, and high reliability.
The accurate positioning of the shearer based on inertial navigation can not only determine its operating position but also measure the direction of movement.
However, when inertial navigation is used to locate the shearer in motion, the cumulative errors will occur, resulting in inaccurate positioning of the shearer.
The accuracy of the initial alignment is directly related to the working precision of the inertial navigation system.
In order to improve the efficiency and accuracy of initial alignment, an improved initial alignment method is proposed in this paper, which uses a fruit fly-optimized Kalman filter algorithm for initial alignment.
In order to improve the filtering performance, the fruit fly-optimized Kalman filter algorithm uses an improved fruit fly algorithm to realize the adaptive optimization of system noise variance.
Finally, simulation and experiments verify the effectiveness of the fruit fly-optimized Kalman filter algorithm.
نمط استشهاد جمعية علماء النفس الأمريكية (APA)
Wan, Miao& Wang, Zhongbin& Si, Lei& Tan, Chao& Wang, Hao. 2020. An Initial Alignment Technology of Shearer Inertial Navigation Positioning Based on a Fruit Fly-Optimized Kalman Filter Algorithm. Computational Intelligence and Neuroscience،Vol. 2020, no. 2020, pp.1-15.
https://search.emarefa.net/detail/BIM-1138939
نمط استشهاد الجمعية الأمريكية للغات الحديثة (MLA)
Wan, Miao…[et al.]. An Initial Alignment Technology of Shearer Inertial Navigation Positioning Based on a Fruit Fly-Optimized Kalman Filter Algorithm. Computational Intelligence and Neuroscience No. 2020 (2020), pp.1-15.
https://search.emarefa.net/detail/BIM-1138939
نمط استشهاد الجمعية الطبية الأمريكية (AMA)
Wan, Miao& Wang, Zhongbin& Si, Lei& Tan, Chao& Wang, Hao. An Initial Alignment Technology of Shearer Inertial Navigation Positioning Based on a Fruit Fly-Optimized Kalman Filter Algorithm. Computational Intelligence and Neuroscience. 2020. Vol. 2020, no. 2020, pp.1-15.
https://search.emarefa.net/detail/BIM-1138939
نوع البيانات
مقالات
لغة النص
الإنجليزية
الملاحظات
Includes bibliographical references
رقم السجل
BIM-1138939
قاعدة معامل التأثير والاستشهادات المرجعية العربي "ارسيف Arcif"
أضخم قاعدة بيانات عربية للاستشهادات المرجعية للمجلات العلمية المحكمة الصادرة في العالم العربي
تقوم هذه الخدمة بالتحقق من التشابه أو الانتحال في الأبحاث والمقالات العلمية والأطروحات الجامعية والكتب والأبحاث باللغة العربية، وتحديد درجة التشابه أو أصالة الأعمال البحثية وحماية ملكيتها الفكرية. تعرف اكثر