振动、测试与诊断2024,Vol.44Issue(5) :958-963.DOI:10.16450/j.cnki.issn.1004-6801.2024.05.018

空气弹簧自由边界模拟控制策略研究

Research on Control Strategy of Air Spring Free Boundary Simulation

侯京锋 刘玥 马平昌 邓哲
振动、测试与诊断2024,Vol.44Issue(5) :958-963.DOI:10.16450/j.cnki.issn.1004-6801.2024.05.018

空气弹簧自由边界模拟控制策略研究

Research on Control Strategy of Air Spring Free Boundary Simulation

侯京锋 1刘玥 1马平昌 1邓哲1
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作者信息

  • 1. 北京强度环境研究所 北京,100076
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摘要

针对空气弹簧水平多点支撑自由边界模拟系统存在的过约束、难收敛和非线性控制问题,首先,采用自由度解耦控制方式,在削弱系统内力的基础上,将空间自由度的控制目标分解为每一个控制通道的控制目标,解决了系统过约束问题;其次,利用改进积分分离(proportion integration differentiation,简称PID)控制算法克服系统超调,解决了系统震荡收敛问题;最后,采用经验数据对空气弹簧刚度进行实时二维插值补偿,解决了系统非线性问题.实测结果表明,该控制系统设计合理,系统运行过程平稳,通道间同步性较好,控制策略满足模态试验边界的模拟要求.

Abstract

The control problems existing in the free boundary simulation system which is formed by horizontal multi-point support air springs are severe over-constraints,convergence difficulty and the object non-linear.The decoupling control strategy of 3-degree of freedom motions is applied for over-constraints.The control target is transformed from degrees of freedom to control channels.Meantime,the internal forces are weakened.The im-proved integral discrete proportion integration differentiation(PID)algorithm is used for overcoming system overshoot.Based on the experiential data,the nonlinear stiffness of air spring is compensated by two-dimensional linear interpolation in real time.The field testing shows that the control process is smooth,the algo-rithm can guarantee synchronization well.In conclusion,the control algorithm meets the requirement of simulate-free boundary for modal test.

关键词

空气弹簧/自由边界模拟/系统控制/刚度补偿

Key words

air spring/simulate free boundary/system control/stiffness compensation

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出版年

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
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