摘要
针对微粒碰撞噪声检测(PIND)系统中,冲击加速度峰值稳定性差和冲击校准时间长等问题,从电动振动台的结构和工作原理入手,分析电动振动台冲击激励的实现过程。采用系统辨识原理建立振动台电动力学模型,应用PID闭环控制理论,设计串联校正环节,建立基于速度反馈的冲击系统仿真模型,结合迭代学习控制算法,设计了冲击闭环控制系统。最后搭建硬件平台进行了有效性验证。
Since the peak value of shock acceleration lacks stability and the process of shock calibration lasts too long, this paper started with the structure of electrodynamic vibration shaker and its operating principle, analyzed the realization process of the shock waveform. Next, the paper established the mathematical model of the shaker by means of system identification. Using the closed-loop control theory of PID, it designed a corrector in series and built the simulation model of shock system based on velocity feedback. Combining with iterative learning control algorithm, the paper designed a closed-loop shock system and established a hardware platform to conduct validation.
出处
《电器与能效管理技术》
2015年第12期6-11,15,共7页
Electrical & Energy Management Technology
基金
国家自然科学基金项目(51077022
61271347)
关键词
颗粒碰撞噪声检测
冲击试验
电动振动台
PID控制
迭代学习算法
particle impact noise detection （PIND）
shock test
electrodynamic vibration shaker
PIDcontrol
iterative learning algorithm
