基于模糊控制的飞行模拟器洗出算法优化

Optimization of Washout Algorithm for Flight Simulator Based on Fuzzy Control

飞行模拟器是用于飞行训练的主要设备,其模拟飞行的逼真度是影响训练质量的关键,而模拟飞行的逼真度取决于使用的洗出算法,现在最常用的是经典洗出算法,但存在一些缺点。针对经典洗出算法存在的加速度信号丢失和相位误差等问题,结合模糊控制对经典洗出算法进行优化,实现洗出算法的实时动态调整,对高通加速度通道进行信号补偿,最后用Simulink建模对两种算法进行仿真对比,验证优化后洗出算法的优异性。验证结果表明:优化后的洗出算法有效地解决了速度信号丢失和相位误差暗示的问题,同时能够提高飞行模拟器的模拟逼真度。

The flight simulator is the main equipment for flight training,the flight simulation fidelity is a key factor affecting the quality of training,and the fidelity of flight simulation depends on the washout algorithm used.Now the most commonly used is the classical washout algorithm,but there are some shortcomings.Aiming at the problem of existence of the classical washout algorithm acceleration signal loss and phase error,combined with fuzzy control,the classical washout algorithm was optimized to achieve real-time dynamic adjustment of the washing algorithm,and signal compensation of high acceleration channel.Finally,the two algorithms were simulated and analyzed by Simulink modeling to verify the superiority of the optimized washout algorithm.The verification results show that the optimized washout algorithm effectively solves the problem of the loss of speed signals and the phase error implied,and improves the simulation fidelity of the flight simulator.