航空科学技术2024，Vol.35Issue(5)：118-124,7.DOI:10.19452/j.issn1007-5453.2024.05.011
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
PD Parameter Tuning of Wind Tunnel Tail Support Active Vibration Control Based on Piezoelectric Stack
姜帅和 1张磊 1黄赟 1潘天越 1余佳珈 1沈星 1王晨1
作者信息
- 1. 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
- 折叠
摘要
Abstract
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.关键词
尾支杆支撑/改进粒子群算法/PD参数整定/主动抑振Key words
wind tunnel tail support/improved particle swarm optimization algorithm/PD parameter tuning/active vibration control分类
航空航天引用本文复制引用
姜帅和,张磊,黄赟,潘天越,余佳珈,沈星,王晨..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[J].航空科学技术,2024,35(5):118-124,7.
