Numerical Model of Moving-Base Rotating Accelerometer Gravity Gradiometer

Abstract

AbstractIn development of a rotating accelerometer gravity gradiometer (RAGG), it is difficult for us to distinguish the measurement signals and error components in the RAGG output without a verified and correctness RAGG analytical model. In addition, many key techniques, such as RAGG analytical model validation, online error compensation, post motion error compensation, are difficult to be verified. RAGG numerical model can provide validation platform for solving all the above problems, which can speed up the development of the RAGG. In this study, based on the principle and configuration of the RAGG, we synthetically consider almost all the error factors, such as circuit gain mismatch, installation errors, accelerometer scale-factor imbalance, and accelerometer second-order error coefficients, construct a parameters adjustable RAGG numerical model. In multi-frequency gravitational gradient simulation experiment, we use the RAGG numerical model simulating the situation that a test mass rotates about the RAGG with time-varying angular velocity to generate multi-frequency gravitational gradient excitations; the experiment results are consistent with the theoretical ones; the RAGG numerical model can recur some phenomenons of a actual RAGG.