洗出算法参数的调整很大程度上影响其性能,针对目前经典洗出算法应用于飞行模拟器时参数调整的不足,提出一种基于MOEA/D多目标优化的改进洗出算法。为了最小化真实与模拟运动之间的人体感知误差,且在运动空间限制的条件下开发平台,在优化过程中考虑了多个洗出算法的评价指标,对洗出算法参数进行同步优化。为验证其有效性,建立了飞行模拟器运动试验平台,将改进洗出算法应用其中进行优化计算。对优化前后的算法进行仿真和试验,结果表明优化后的洗出算法在归位反应、相位延迟和感觉幅值方面有较大改善,且具有更好的稳定性,同时优化了平台工作空间,增加了动感逼真度。

The parameter adjustment of the wash algorithm greatly affects its performance. Aiming at the deficiency of parameter adjustment of the current classical wash algorithm when it is applied to flight simulator, an improved wash algorithm based on MOEA/D multi-objective optimization is proposed. In order to minimize the human perception error between real and simulated motion, and to develop the platform under the condition of motion space limitation, several evaluation indexes of the washing algorithm were considered in the optimization process, and the parameters of the washing algorithm were optimized synchronously. To verify its effectiveness,the motion test platform of flight simulator was established and the improved algorithm was applied to optimize calculation. The washing algorithm before and after optimization is simulated and tested, results show that the optimized algorithm has great improvement in the homing response, phase delay and perceived amplitude, and has better stability. At the same time, optimizing the platform workspace and increasing the dynamic fidelity.

TP391

国家自然科学基金委员会与中国民用航空局联合资助项目(U1733128)。