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运动基航天飞行模拟器信号缩比策略
引用本文:陈炜,姜国华,晁建刚. 运动基航天飞行模拟器信号缩比策略[J]. 北京航空航天大学学报, 2012, 38(3): 324-329
作者姓名:陈炜  姜国华  晁建刚
作者单位:中国航天员科研训练中心,北京,100094;中国航天员科研训练中心,北京,100094;中国航天员科研训练中心,北京,100094
摘    要:
对于大幅值的输入信号,三阶多项式缩比法易产生信号畸变且参数配置复杂;而Hermite缩比函数法的触发速度较慢.提出两种改进的缩比方法:基于三阶多项式缩比法的最优参数配置法和加入线性缩比的非线性缩比法.前一种方法通过参数的优化配置最大化稳定区,以防止信号的畸变;后一种方法则利用线性缩比的特性将缩比度限制在稳定区内.仿真结果表明:线性缩比的加入可以防止三阶多项式缩比法信号的畸变;最优配置参数法应用方便且整体效果较好.为航天飞行模拟提供了更有效的缩比策略.

关 键 词:运动基航天飞行训练模拟器  三阶多项式缩比法  Hermite缩比函数法  最优配置参数法  线性缩比
收稿时间:2010-11-30

Signal scaling strategies for motion-base spaceflight simulators
Chen Wei Jiang Guohua Chao Jiangang. Signal scaling strategies for motion-base spaceflight simulators[J]. Journal of Beijing University of Aeronautics and Astronautics, 2012, 38(3): 324-329
Authors:Chen Wei Jiang Guohua Chao Jiangang
Affiliation:China Astronaut Research and Training Center, Beijing 100094, China
Abstract:
When input signal is scaled in a large scope,the third-degree polynomial scaling is easy to induce signal distortion and complicated for parameters tuning,and the trigger speed of Hermite scaling is too slow to satisfy the condition.Based on this situation,two methods were put forward: the scaling of optimal parameter configuration based on the third-degree polynomial scaling and the non-linear scaling combined with linear scaling.The first method maximizes the stable region to prevent signal distortion by optimizing the configuration parameters;the latter one restricts the scaling scope in the stable region by utilizing the characteristics of linear scaling.The results have indicated that signal distortion can be avoided when the linear scaling joins in the third-degree polynomial scaling,and the method based on optimal parameter configuration shows advantages in parameters tuning and integrated scaling performance.The two methods provide more effective scaling strategies for spaceflight simulation.
Keywords:motion-base spaceflight training simulator  third-degree polynomial scaling method  Hermite scaling method  scaling of optimal parameter configuration  linear scaling
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