首页|基于压电叠堆的智能风洞尾支杆结构主动抑振PD参数整定

基于压电叠堆的智能风洞尾支杆结构主动抑振PD参数整定

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验证飞行器气动性能往往需要进行风洞全模试验,尾支杆支撑结构设计简单、拆装便捷、对试验流场干扰低,因此全尺寸模型普遍采用尾支杆支撑形式.但其支撑刚度低、结构阻尼小,容易引发支杆-模型系统的振动.本文基于压电叠堆设计了集成于尾支杆根部的智能主动抑振结构,应用改进粒子群算法对工程上常用的比例微分(PD)控制方法进行了整定优化,改善了其参数整定所需时间长、整定效率不高的问题.控制仿真及试验结果表明,采用基于改进粒子群算法的PD控制器可降低振动信号振幅最大值为52%,缩短99.48%的调整时间,抑振效果明显,能够为风洞尾支杆主动控制提供理论及实践参考.
PD Parameter Tuning of Wind Tunnel Tail Support Active Vibration Control Based on Piezoelectric Stack
Verifying the aerodynamic performance of the aircraft often requires a full-model experiment of wind tunnel.The cantilever sting is generally used for full model support on account that the structure of the tail support is simple,convenience in assembly and low interference in experimental flow fields.But it also has the characteristics of small support stiffness and low structural damping,which is prone to the vibration of the sting-model system.The PD controller is often used to control the vibration of the tail support.However,there are some problems such as long time required for parameter tuning,low tuning efficiency.Therefore,the improved particle swarm optimization algorithm is applied to optimize PD parameter tuning.The control simulation and experimental results show that the PD controller based on the improved particle swarm optimization algorithm can effectively suppress the tail-support vibration,which can provide theoretical and practical reference for the active control of wind tunnel tail-support.

wind tunnel tail supportimproved particle swarm optimization algorithmPD parameter tuningactive vibration control

姜帅和、张磊、黄赟、潘天越、余佳珈、沈星、王晨

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南京航空航天大学航空航天结构力学及控制全国重点实验室,江苏 南京 210016

尾支杆支撑 改进粒子群算法 PD参数整定 主动抑振

2024

航空科学技术
中国航空研究院

航空科学技术

影响因子:0.24
ISSN:1007-5453
年,卷(期):2024.35(5)
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