摘要
目前铣削去重平衡机电气测量系统是由微控制器和外围器件级联而成,集成度低、信号处理算法单一、测量误差大,对实现智能铣削有很大的限制。基于此,提出了基于嵌入式OMAP的自动铣削去重平衡机电气测量系统的实现方法。首先,通过OMAP双核架构中的ARM子系统完成对平衡机电气测量系统的控制功能,DSP子系统实现数字信号处理和不平衡量的解算;其次设计实现了基于谐波小波包的数字带通跟踪滤波器;最后利用谐波小波包在频域对信号进行无限细分的特性来提取任意一段微弱信号的特征。仿真及测试结果表明,该系统有效抑制了近频信号干扰,提高了信噪比,并对初始不平衡信号特征实现有效还原。
Electrical measurement system in milling balance machine currently consists of microcontroller and peripheral devices. The structure has the problems which include low integration, single signal processing algorithms and great measurement error. Therefore,electrical measurement system in milling balance machine based on embedded optimization is presented in the paper. Firstly,the device control electrical measuring system by ARM subsystem of OMAP dual-core architecture,and DSP subsystem realizes digital signal processing and unbalance computing. Secondly,the system implement digital band-pass tracking filter based on harmonic wavelet packet. Thirdly,the system extracts any period of weak signal characteristics using the unlimited segmentation features harmonic for wavelet packet signal in the frequency domain. Simulation and test results show that the system effectively inhibits nearly frequency signal interference,improves signal to noise ratio,and reduces the initial imbalance signal characteristics.
出处
《长春理工大学学报（自然科学版）》
2015年第5期92-96,共5页
Journal of Changchun University of Science and Technology(Natural Science Edition)
基金
吉林省教育厅项目(201576)
吉林省科技厅重点科技成果转化项目(20140307009GX)
关键词
信号处理
OMAP
谐波小波包
跟踪滤波
近频干扰
signal processing
OMAP
harmonic wavelet packet
tracking filter
near frequency interference
