{"title":"SoC loosely Coupled Navigation Algorithm Evaluation via 6-DOF Flight Simulation Model of Guided Bomb","authors":"A. Hamdy, A. Ouda, A. Kamel, Y. Elhalwagy","doi":"10.1109/NILES50944.2020.9257889","DOIUrl":null,"url":null,"abstract":"Accurate positioning is required to achieve accurate navigation solution of moving objects therefore, inertial navigation system (INS) and global positioning system (GPS) are combined together to give a good solution in solving positioning problem and overcoming the problem of using each system separately. The motivation behind this work in this paper is to model and evaluate an INS/GPS integration algorithm model within 6-DOF flight simulation model by using loosely coupled integration technique and extended kalman filter (EKF) Algorithms to enhance and solve the position and attitude angles problems. Then, it is implemented on embedded microcontroller system (TM4C123GH6PM ARM Cortex-M4) using low-cost commercial sensors (MPU-6050 and GPS). Finally, the Navigation model is evaluated within 6-DOF simulation model using Processor-in-Loop (PIL) method. The system can realize comparable navigation accuracy with other high performance navigation system.","PeriodicalId":253090,"journal":{"name":"2020 2nd Novel Intelligent and Leading Emerging Sciences Conference (NILES)","volume":null,"pages":null},"PeriodicalIF":0.0000,"publicationDate":"2020-10-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2020 2nd Novel Intelligent and Leading Emerging Sciences Conference (NILES)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/NILES50944.2020.9257889","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0
Abstract
Accurate positioning is required to achieve accurate navigation solution of moving objects therefore, inertial navigation system (INS) and global positioning system (GPS) are combined together to give a good solution in solving positioning problem and overcoming the problem of using each system separately. The motivation behind this work in this paper is to model and evaluate an INS/GPS integration algorithm model within 6-DOF flight simulation model by using loosely coupled integration technique and extended kalman filter (EKF) Algorithms to enhance and solve the position and attitude angles problems. Then, it is implemented on embedded microcontroller system (TM4C123GH6PM ARM Cortex-M4) using low-cost commercial sensors (MPU-6050 and GPS). Finally, the Navigation model is evaluated within 6-DOF simulation model using Processor-in-Loop (PIL) method. The system can realize comparable navigation accuracy with other high performance navigation system.
为了实现运动目标的精确导航,需要进行精确定位,因此将惯性导航系统(INS)和全球定位系统(GPS)结合起来,很好地解决了定位问题,克服了各自单独使用的问题。本文的工作动机是利用松耦合积分技术和扩展卡尔曼滤波(EKF)算法对六自由度飞行仿真模型中的INS/GPS集成算法模型进行建模和评估,以增强和解决位置和姿态角问题。然后,利用低成本的商用传感器(MPU-6050和GPS)在嵌入式微控制器系统(TM4C123GH6PM ARM Cortex-M4)上实现。最后,利用环内处理器(PIL)方法在六自由度仿真模型中对导航模型进行了评估。该系统可实现与其他高性能导航系统相当的导航精度。