基于改进模糊控制的飞行模拟器洗出算法研究

Flight simulator washout algorithm based on improved fuzzy control

针对经典洗出算法参数固定,参数的选取基本上依靠经验和飞行员现场操作时的感知调试的问题,为了提高飞行模拟器动感模拟的逼真度,将模糊控制应用到了算法的设计中,对经典洗出算法的实时参数优化方法进行了研究。提出了一种改进的模糊控制洗出算法,基于人体感知机理使用改进的模糊控制对经典洗出算法洗出滤波器的参数进行了优化,使操作飞行模拟器过程中在模拟器上的运动感觉与真实飞行时的运动感觉误差最小,并在参数清晰化过程中使用改进遗传算法提高了运动平台的空间利用率。在Matlab上对优化后的洗出算法进行了仿真试验。研究结果表明:优化后的洗出算能够有效地提高飞行模拟器的模拟逼真度、加快平台回位速度而且能充分地利用了平台空间,达到了预期的效果。

Aiming at the problems that parameters of washout filter parameters fixed, basically rely on the experience and the perception of pilot site operation debugging,and in order to improve the dynamic simulation of flight simulator fidelity, fuzzy control algorithm was applied to the design of the algorithm, the parameter optimization method of the classical washout algorithm in real time was researched. A method was presented to a washout algorithm of improved fuzzy control, which was based on fuzzy human perception mechanism using the improved control parameters on washout filter, making the motion perception of the simulator during the operation of the flight simulator is the smallest of the motion perception, and improved genetic algorithm was used to improve the utilization rate of the motion platform in the process of the parameters clearing. In the Matlab simulation experiment was carried out to wash out the optimized algorithm. The results indicate that the optimized algorithm can effectively improve the washout simulation of flight simulator fidelity, speed up the platform return speed and can make full use of the space platform, achieve the desired results.