摘要
由于经典洗出算法具有调节、反馈和执行速度快等优点而被广泛应用,但其洗出算法参数的选择对飞行模拟器逼真度有直接的影响。针对飞行模拟器经典洗出算法参数选择困难的缺点,通过规划飞行模拟器的约束限制,并结合人体前庭模型最小化人体感觉误差,以及采用粒子群优化算法寻找最优的滤波器参数。选取飞机爬升阶段的一组实际飞行数据作为输入信号,对优化前后的洗出算法进行比较,结果显示优化后的滤波器参数使模拟器运动平台恢复到中立位置的时间更短、稳定性更好,洗出的感觉比力加速度误差和感觉角速度位于人体阈值范围内,证明优化后的滤波器参数能够明显提高飞行模拟器的动感逼真度。
Because the classical washout algorithm has the advantages of well adjustment,quickly feedback,and fast execution speed,the selection of the washout algorithm parameters has a direct impact on the flight simulator fidelity.It’s difficultly in selecting the parameters of the classic washout algorithm for flight simulator,the constraints of the flight simulator is planned,to combine with the human vestibular model to minimize human sensory error,and then find the optimal parameters of filters through particle swarm optimization algorithm.A set of flight data is applied as an input signal from the climb phase of the actual aircraft,to compare the washout algorithms with before and after optimization,the results show that the optimized filters parameters make the simulator motion platform return to the neutral position for a shorter time and better stability,the perceptual force acceleration error and angular velocity of washout is within the threshold of the human body.It proves that the optimized filters parameters can significantly improve the dynamic fidelity of the flight simulator.
作者
朱道扬
段少丽
ZHU Daoyang;DUAN Shaoli(Institute of Intelligent Manufacturing,Wuhan Technical College of Communications,Wuhan 430000,China)
出处
《系统仿真技术》
2021年第2期98-102,共5页
System Simulation Technology
基金
湖北省自然科学基金(2019CFB693)
湖北省教育厅科学研究计划指导性项目(B2020418)
武汉交通职业学院一般项目(Y2019006)
