飞行模拟器洗出算法多重滤波信号补偿优化研究

针对经典洗出算法在应用于飞行模拟器时存在的信号丢失以及适应性不强的缺陷，提出一种多重滤波信号补偿的洗出算法优化方案。分析经典洗出算法中信号丢失的环节，截取丢失信号并采取深度滤波策略进行深度滤波，依据人体感知误差与运动平台的动作余量，将多重滤波后的信号以自适应的比例分别补偿到洗出算法3个通道中，实现最大程度上减小信号损失，从而减少人体感知误差。对经典洗出算法和改进洗出算法进行对比仿真和试验，结果表明改进洗出算法有效降低了人体感知误差，减少了信号丢失，改善了相位延迟，同时充分利用了运动平台的工作空间，增加了动感逼真度。

Research on Multiple Filter Signal Compensation for Washout Algorithm Optimization of Flight Simulator

Aiming at the defects of signal loss and poor adaptability of the classical washout algorithm when applied to flight simulator, an optimization scheme of washing algorithm based on multiple filtering signal compensation is proposed. Analyzing the lost signal in classical washout algorithm, intercepting the lost signals to the depth filter with depth filtering strategy, basing on human perception errors and platform movement margin, after multiple filtering signal to certain proportion respectively compensation to the three channel of washout algorithm to achieve the maximum reduction of signal loss, thus reducing human perception error. The classical washing algorithm and the improved washing algorithm are compared by simulation and experiment, the results show that the improved washout algorithm reduces the human perception error, reduces the loss of signal, improves the phase delay, makes full use of the motion platform work space, and increases the fidelity of the motion.