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小型无人直升机系统辨识算法研究

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获得精确的小型无人直升机动力学模型,是对其准确控制的前提条件。创新性提出的加权退火算法是一种有效的时域辨识算法,它对模拟退火算法进行特别的改进,可较快的收敛得到小型无人直升机高精度动力学模型。同时,上述算法克服了以往辨识对初始点选择敏感的问题,也避免频域辨识算法通常所需的输入通道扫频环节,从而降低实施辨识的工作量和成本。以真实的四点飞行数据为输入,通过搭建的分布式计算平台,计算出小型无人直升机的全状态空间模型(13 阶,包含悬停模态和前飞模态),加权退火辨识算法的有效性得到很好验证。
Research on Identification Algorithm of Small Unmanned Helicopter System
Obtaining an accurate dynamic model of a small unmanned helicopter is a prerequisite for its accurate control.The weighted annealing algorithm proposed in this paper is an effective time-domain identification algorithm,which is specially improved on the simulated annealing algorithm and can get the high-precision dynamic model of a small unmanned helicopter quickly.At the same time,the algorithm overcomes the problem that the previous identifi-cation is sensitive to the selection of initial points,and avoids the input channel frequency sweep which is usually re-quired by the frequency domain identification algorithm,thus reducing the workload and cost of implementation identi-fication.Based on the real four-point flight data,the full-state space model(13-order,including hover mode and for-ward flight mode)of the small unmanned helicopter was calculated by a distributed computing platform,and the effec-tiveness of the weighted annealing identification algorithm was well verified.

System identificationWeighting annealing algorithmSmall-sized unmanned helicopter

刘玉柱、张颜伟、邢蔚明、张凤霞

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中国航空工业集团公司洛阳电光设备研究所,河南 洛阳 471000

系统辨识 加权退火算法 小型无人直升机

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2019ZC013004

2024

计算机仿真
中国航天科工集团公司第十七研究所

计算机仿真

CSTPCD
影响因子:0.518
ISSN:1006-9348
年,卷(期):2024.41(6)
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