关键词: 柔性接触行为, 陀螺摆加速度计, 装配精度预测, 位姿偏差, 非理想表面, 第3代非支配排序遗传算法

Abstract: To address the challenge of precisely controlling assembly position-orientation accuracy in gyroscopic pendulum accelerometers at the design stage, this study proposes an approach on computing Position and Orientation Deviations (PODs) considering flexible contact behaviors on non-ideal mating surfaces. By adopting an iterative trial adjustment strategy for position and orientation, a mathematical model was established based on multi-degree-of-freedom force equilibrium conditions, with a Non-dominated Sorting Genetic Algorithm III (NSGA-III) framework developed for solving the model. Through a case study of coaxial assembly accuracy prediction for gyroscopic pendulum accelerometers, comparative analyses with the classical Small Displacement Torsor (SDT) method and mainstream Iterative Closest Point (ICP) algorithm validated the effectiveness of the proposed approach. Results indicate that the approach achieves significant improvements in predicting assembly position-orientation accuracy, offering technical support for ensuring precision performance in high-end inertial navigation systems.

Key words: flexible contact behavior, gyroscope-pendulum accelerometer, assembly accuracy prediction, position and orientation deviations, non-ideal surface, non-dominated sorting genetic algorithms III