基于模糊控制的分段洗出算法

洗出算法优劣对汽车模拟器运动模拟逼真度具有重大影响。针对经典洗出算法模拟逼真度不高以及滤波器参数固定的问题，提出一种优化方法。运用人体主观相等点理论，对输入的加速度信号进行分段处理，同时将模糊控制理论应用到经典洗出算法中，实时确定加速度高通滤波通道、加速度低通通道与角速度高通滤波通道中滤波器的自然频率，最后在 SIMULINK 中对优化的洗出算法进行仿真与分析。仿真结果显示，优化后的洗出算法相比经典洗出算法感知误差降低了 68.4%，该结果表明优化后的洗出算法可以提高模拟逼真度。

Sectional Washout Algorithm Based on Fuzzy Control

The efficiency of washout algorithm has a significant impact on the fidelity of vehicle simulator. To solve the problem of insufficient fidelity of classical washout algorithm simulation and fixed filter parameters，an optimization method is proposed. The point of subjective equality theory is used to segment the input acceleration signal，the fuzzy control theory is applied to the classical washout algorithm to determine the natural frequencies of the filters in the acceleration high-pass filter channel，the acceleration low-pass filter channel and the angular velocity high-pass filter channel in real time. Finally，the optimized washout algorithm is simulated and analyzed in SIMULINK. The simulation results show that the perception error of the optimized washout algorithm is 68.4% less than that of the classical washout algorithm. The results show that the optimized washout algorithm can improve the fidelity of the simulation.