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As the device in general inspection maintenance, can only carry on the system static parameter measurement, and dynamic performance of the system only can be judged by qualitative observation. In this paper, we adopt modular design scheme and the method based on synchronous sampling and real-time data processing, through online data collection, fitness, amplification, filter and analysis of the dynamic signal, the on-line detection of equipment servo system dynamic parameters is realized. This method can detect the device modulates stationary target speed, the maximum speed, the precision of the tracking error and other dynamic parameters. Therefore, the system fault can be diagnosed to facilitate the rapid maintenance of equipment. The servo control system is a typical mechanical and electrical control system. Its performance, especially the dynamic performance directly affects the efficiency of the equipment. The device in general inspection maintenance, can only carry on the system static parameter measurement, and some typical fault can be judged. There is in short of dynamic testing means and methods for dynamic performance of the system, and only can be judged by qualitative observation. In this paper, we adopt modular design scheme and the method based on synchronous sampling and real-time data processing, through online data collection, fitness, amplification, filter and analysis of the dynamic signal, the on-line detection of equipment servo system dynamic parameters is realized.

Program Design for the dynamic detection of servo system based on Keil Mu Vision3