{"title":"Autonomous method for a strapdown inertial navigation system calibration in operation in operation","authors":"Valerii Uspenskyi","doi":"10.20998/2078-9130.2023.1.273074","DOIUrl":null,"url":null,"abstract":"Strapdown inertial navigation systems (SINS) are widely used in modern air transport. The service life of such systems is decades. During this time, the characteristics of such systems may deteriorate due to the degradation of inertial sensors - gyroscopes and accelerometers. Under these conditions, in order to maintain the required accuracy of the SINS during the entire period of operation, it is necessary either to periodically carry out routine maintenance with the onboard system, or to continuously adapt the used sensor measurement model in terms of compensating for errors that arise. The second direction, which we will call calibration, has the advantage over the first one that it is carried out automatically by the system itself and does not require any additional equipment or additional maintenance work. The known method of SINS recalibration is based on the integration of information from the SINS and from the receiver of satellite radio navigation signals (SRNS). Such calibration, firstly, significantly depends on the availability and quality of satellite information, and secondly, it is possible only for integrated navigation systems in which the inertial subsystem is supplemented by a SRNS receiver. In contrast to the known method, this article solves the problem of autonomous SINS calibration, which is carried out after each flight. The solution is based on a linearized inertial navigation error model based on the boundary conditions of the state vector (at the beginning and end of the flight). The external information used consists only of the initial values of the coordinates and the current measurements of the baroaltimeter. As a result of the decision at the end of the flight, the errors of gyroscopes and accelerometers are determined, as well as the error in determining the final values of latitude and longitude in the SINS. Sensor errors can be used in subsequent system activations, which improves the accuracy of its operation as a whole. The analysis of the suitability and effectiveness of the developed methodology was carried out on a typical flight simulation program.","PeriodicalId":186064,"journal":{"name":"Bulletin of the National Technical University «KhPI» Series: Dynamics and Strength of Machines","volume":"53 12","pages":""},"PeriodicalIF":0.0000,"publicationDate":"2023-12-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Bulletin of the National Technical University «KhPI» Series: Dynamics and Strength of Machines","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.20998/2078-9130.2023.1.273074","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
Strapdown inertial navigation systems (SINS) are widely used in modern air transport. The service life of such systems is decades. During this time, the characteristics of such systems may deteriorate due to the degradation of inertial sensors - gyroscopes and accelerometers. Under these conditions, in order to maintain the required accuracy of the SINS during the entire period of operation, it is necessary either to periodically carry out routine maintenance with the onboard system, or to continuously adapt the used sensor measurement model in terms of compensating for errors that arise. The second direction, which we will call calibration, has the advantage over the first one that it is carried out automatically by the system itself and does not require any additional equipment or additional maintenance work. The known method of SINS recalibration is based on the integration of information from the SINS and from the receiver of satellite radio navigation signals (SRNS). Such calibration, firstly, significantly depends on the availability and quality of satellite information, and secondly, it is possible only for integrated navigation systems in which the inertial subsystem is supplemented by a SRNS receiver. In contrast to the known method, this article solves the problem of autonomous SINS calibration, which is carried out after each flight. The solution is based on a linearized inertial navigation error model based on the boundary conditions of the state vector (at the beginning and end of the flight). The external information used consists only of the initial values of the coordinates and the current measurements of the baroaltimeter. As a result of the decision at the end of the flight, the errors of gyroscopes and accelerometers are determined, as well as the error in determining the final values of latitude and longitude in the SINS. Sensor errors can be used in subsequent system activations, which improves the accuracy of its operation as a whole. The analysis of the suitability and effectiveness of the developed methodology was carried out on a typical flight simulation program.
现代航空运输广泛使用带式惯性导航系统(SINS)。此类系统的使用寿命长达数十年。在此期间,由于惯性传感器--陀螺仪和加速度计--的退化,此类系统的特性可能会恶化。在这种情况下,为了在整个运行期间保持 SINS 所需的精度,必须定期对机载系统进行例行维护,或者不断调整所使用的传感器测量模型,以补偿出现的误差。第二种方法,我们称之为校准,与第一种方法相比,它的优点是由系统本身自动执行,不需要任何额外的设备或额外的维护工作。已知的 SINS 重新校准方法是基于 SINS 和卫星无线电导航信号接收器(SRNS)信息的整合。这种校准方法首先在很大程度上取决于卫星信息的可用性和质量,其次,只有在惯性子系统辅以 SRNS 接收器的集成导航系统中才有可能实现。与已知方法不同的是,本文解决了 SINS 自主校准问题,每次飞行后都要进行校准。该解决方案基于一个线性化的惯性导航误差模型,该模型以状态矢量(飞行开始和结束时)的边界条件为基础。所使用的外部信息仅包括坐标的初始值和气压计的当前测量值。根据飞行结束时的判定结果,可以确定陀螺仪和加速度计的误差,以及在 SINS 中确定经纬度最终值的误差。传感器误差可用于后续系统启动,从而提高整个系统运行的准确性。在一个典型的飞行模拟程序中对所开发方法的适用性和有效性进行了分析。