As an important detecting, perception and monitoring equipment, the optoelectronic platform is always equipped with a series of optoelectronic devices such as optical imaging device, photoelectric encoder and fiber optic gyroscope. These devices all require high-precision data acquisition systems. As the basic method of sensing a variety of mass physical changes, data acquisition systems have been increasingly used in optical sensing, photoelectric platform control and many other fields. The traditional optoelectronic platform design method uses distributed device for assembly, which occupies a large volume. In this paper, we take the multi-channel acquisition system in consideration, instead of the acquisition circuit scattered in each device, during the optoelectronic platform design process, which can effectively improve the system integration. The characteristics of multi-channel and high-precision data acquisition system are studied, and a multi-channel, high-precision AD data acquisition system is designed and verified. The system provides 16 parallel channels, each channel supports 32-bit sampling accuracy, we adopts FPGA as the core processing device, with gigabit network port for data reporting, this scheme has been applied in gyro test systems and weak signal acquisition systems.
In order to improve the anti-interference and tracking performance of photoelectric stabilized platform, a sliding mode controller based on reaching law was designed. Since the differential signal of the input was used in the sliding mode controller, if the noise was added in the input signal, its differential signal will amplify the noise, thus affecting the actual effect of the controller. To solve this problem, a method combining nonlinear Tracking Differentiator (TD) with sliding mode controller was proposed ,then the experimental system was built, and the results of the new controller and the traditional PID controller were compared. It is proved that the method this article presented can improve the anti-interference performance of the system by 66.7%, and also can increase the track precision of the input signal by 48.2%.
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