三轴载人离心机加速度过载模拟算法开发与验证

在进行飞行员抗荷训练时,需要通过载人离心机实现复杂的加速度条件,因此开展三维变加速度过载模拟试验具有重要意义.本文针对上述需求,开展三轴载人离心机过载模拟算法开发与验证研究.首先,通过运动学分析建立三轴载人离心机的运动学模型；然后,应用移动平均平滑算法平滑输入过载,减少计算过程中俯仰角和滚转角的突变；在此基础上,提出三维变加速模拟的最优化算法,并进行验证.最优化算法以各离散时刻的位置、速度、加速度为优化决策变量,用运动学模型仿真加速度过载与预期加速度过载的误差建立优化目标函数,将过载模拟问题转化为最优化问题进行求解.计算结果表明：(1)移动平均平滑算法通过平滑输入过载,可显著减少俯仰角和滚转角的突变,(2)提出的最优化算法比传统算法能更准确地模拟预期加速度过载.

Development and Verification of Overload Simulation Algorithms for Three-Axis Human Centrifuge

High-G training for pilots has commonly performed in the centrifuge-based flight simulators. In this paper, algorithms for overload simulation in a three axis human centrifuge are developed and validated. To this end, a kinematic model is established for kinematic analysis. A moving average algorithm is employed to smooth the inputs and to alleviate the abrupt changes in pitch and roll angles of the centrifuge. An optimization algorithm for overload simulation is proposed and verified. The algorithm minimizes the error between the simulated and expected overloads to find the optimized kinematic variables of each axis of the centrifuge. Numerical results show that: (1) the moving average algorithm substantially alleviate the abrupt changes in pitch and roll angles of the centrifuge. (2) the proposed optimization algorithm is more accurate compared to traditional algorithms.