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变体飞行器头锥的运动控制性能分析

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为提高变体飞行器头锥在外部负载条件下的运动性能,提出一种二自由度的 3RSH/3RRR变体头锥机构(R,S,H分别为转动副、球副及螺旋副),进行了位置分析和机构运动特性分析.通过Simulink/SimMechanics工具箱搭建变体头锥机构框图,并分别搭建模糊比例积分微分(proportion integration differentiation,简称PID)控制系统和BP神经网络(backpropagation networks,简称BPNN)PID控制系统.在空载、随机变化负载 2种不同外部环境下,设定阶跃、正弦2种期望轨迹进行仿真,比较了常规PID、模糊PID和神经网络PID的控制性能.实验结果表明,智能控制的适应性、鲁棒性远好于常规PID,其中模糊PID控制对变体头锥机构的控制性能最好,能够满足不同工况下的控制要求.
Motion Control Performance Analysis of Nose Cone of Variant Aircraft
Currently,a diverse array of design schemes for morphing nosecone mechanism exists;however,re-search on control strategies for variant head cones is lacking.A 2(3RSH/3RRR)morphing nosecone mecha-nism is proposed to improve the motion performance of the head-cone of the variant aircraft under external load conditions,and the position analysis and kinematic characteristic analysis are carried out.The block diagram of the morphing nosecone mechanism is constructed using the Simulink/SimMechanics toolbox,and the fuzzy PID control system and BP neural network PID control system are established.The control performance of conven-tional PID,fuzzy PID and neural network PID is compared under two distinct external environments:no-load and random variable load.The simulation is configured with two expected trajectory types—step and sine to as-sess performance.The experimental results show that the adaptability and robustness of intelligent control are far better than that of conventional PID.Among them,fuzzy PID control has the best control performance for morphing nosecone mechanism and can meet the control requirements under different working conditions.

morphing nosecone mechanismkinematics performancecontrol strategycontrol performance

田静怡、张玉玲、尹丹妮、谷勇霞、阎绍泽

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北京工商大学计算机与人工智能学院 北京,100048

清华大学机械工程系 北京,100084

变体头锥机构 运动性能 控制策略 控制性能

国家自然科学基金国家自然科学基金国家自然科学基金中国博士后科学基金面上项目

5230526452375282514752582022M721822

2024

振动、测试与诊断
南京航空航天大学 全国高校机械工程测试技术研究会

振动、测试与诊断

CSTPCD北大核心
影响因子:0.784
ISSN:1004-6801
年,卷(期):2024.44(2)
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