重庆理工大学学报2026，Vol.40Issue(5)：98-107,10.DOI:10.3969/j.issn.1674-8425(z).2026.03.012
可主动回中的参数时变洗出算法研究
A parametric time-varying washout algorithm with active return-to-center controller
摘要
Abstract
Current motion cueing algorithms struggle to achieve both high motion sensation fidelity and strong real-time performance.To address the issue,this paper proposes a parametric time-varying washout algorithm with active return-to-center.The algorithm incorporates an active return-to-center controller which employs rotational degrees of freedom to quickly compensate for translational acceleration loss,thus reducing the displacement of translational degrees of freedom.On this basis,a parametric time-varying and approximately optimal washout algorithm is developed.It builds a parameter optimization model for the washout algorithm,as well as a coupling evaluation model between the motion system and human perception,establishing the mathematical relationship between algorithm parameters and motion perception fidelity.Through optimization,a mapping table linking influencing factors to optimal washout algorithm parameter combinations is obtained.The inverse distance weighting interpolation method is then employed to achieve real-time online calculation of the approximately optimal parameter combinations,avoiding extensive computations required for online parameter optimization and enhancing the adaptability of the motion simulation algorithm to changes in influencing factors.Simulation results demonstrate the method exhibits strong real-time performance and noise resistance.In terms of motion simulation fidelity,it reduces motion perception error by 43.63%compared to the classical washout algorithm and also cuts the usage of the motion platform's longitudinal travel,thereby improving the efficiency of the platform's translational travel in motion perception simulation.关键词
驾驶模拟器/运动感觉模拟/洗出算法/洗出滤波器/多目标遗传算法Key words
driving simulator/motion perception simulation/washout algorithm/washout filter/multi-objective genetic algorithm分类
信息技术与安全科学引用本文复制引用
李鹏,康舒,刘子琦..可主动回中的参数时变洗出算法研究[J].重庆理工大学学报,2026,40(5):98-107,10.基金项目
国家留学基金项目(202308320187) （202308320187）
国家自然科学基金项目(61403204) （61403204）
上海浦江人才计划项目(22PJ1420900) （22PJ1420900）
