六轴载人离心机动态飞行模拟算法研究
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Research on a Dynamic Flight Simulation Algorithm for 6-DOF Human-Centrifuges
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    摘要:

    随着现代高机动飞行任务对飞行员感知-操控一致性要求的不断提高,六自由度载人离心机已成为实现高逼真复杂飞行仿真的重要发展方向.本文针对六自由度载人离心机,开展动态飞行模拟算法研究.首先,建立了离心机的完整运动学模型,并分析了人体前庭感知特性.在此基础上,提出一种融合运动模拟需求与人体感知机理的模型预测控制方法.该方法在模型预测控制框架下,综合考虑平台物理约束,通过协调线运动与角运动跟踪误差,并引入人体前庭模型构建飞行员体感优化指标,从而实现对飞行加速度信号的实时、高保真模拟.与球形洗出算法相比,所提方法在运动跟踪精度和感知一致性方面均有显著提升.本研究为六自由度载人离心机实现高逼真动态飞行仿真提供了一种有效的运动控制解决方案.

    Abstract:

    With the increasing demands for pilot perception-fcontrol consistency in modern high-maneuverability flight missions, the six-degree-of-freedom (6-DOF) human- centrifuge has become an important platform for high-fidelity complex flight simulation. This paper focuses on the dynamic flight simulation algorithm for the 6-DOF human-rated centrifuge. First, a kinematic model of the centrifuge is established, and the perceptual characteristics of the human vestibular system are analyzed. On this basis, a model predictive control (MPC) method is proposed, which integrates the requirements of motion simulation with the mechanism of human perception. Under the MPC framework, the method comprehensively considers the physical constraints of the platform, coordinates the tracking errors of linear and angular motions, and introduces a human vestibular model to construct a pilot sensation optimization index, thereby achieving real-time and high-fidelity simulation of flight acceleration signals. Compared with the spherical washout algorithm, the proposed method shows significant improvements in both motion tracking accuracy and perceptual consistency. This study provides an effective motion control solution for achieving high-fidelity dynamic flight simulation on a 6-DOF human-rated centrifuge.

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胡豪,孙光鑫,丁煜轩,韩石磊,王聪.六轴载人离心机动态飞行模拟算法研究[J].动力学与控制学报,2026,24(4):47~57; Hu Hao, Sun Guangxin, Ding Yuxuan, Han Shilei, Wang Cong. Research on a Dynamic Flight Simulation Algorithm for 6-DOF Human-Centrifuges[J]. Journal of Dynamics and Control,2026,24(4):47-57.

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  • 收稿日期:2025-12-29
  • 最后修改日期:2026-02-08
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  • 在线发布日期: 2026-04-24
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