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分析了捷联惯导系统误差来源,构建了由器件误差、安装误差及初始条件误差共31个误差源组成的捷联惯导系统误差模型。为提高代码重用率,在VC环境下建立仿真平台,并通过调用Matlab引擎,用图形化方式量化了各种误差源对导航结果的影响。结果表明,设计的仿真平台能够提供高效的误差分析手段,可为捷联惯导系统的误差分配和器件选型提供参考。
The sources of SINS error were analyzed, and a total of 31 error sources consisting of device error, installation error and initial condition error were used to build SINS error model. In order to improve the reusability of code, a simulation platform was set up in VC environment and the influence of various error sources on navigation results was quantified graphically by calling Matlab engine. The results show that the designed simulation platform can provide an efficient method of error analysis and provide a reference for the error distribution and device selection of SINS.