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%.
In the unmanned photoelectric reconnaissance vehicle network, each node cooperates to locate the target, which is beneficial to expand the reconnaissance range and obtain the target position information covertly. The unmanned photoelectric reconnaissance vehicle of each node can provide the angle information relative to the target when it reconnoitres the target. How to use the angle information of the target detected by each node to obtain the estimation of the target position information is worth studying. This paper studies the passive positioning technology in the unmanned photoelectric reconnaissance vehicle network, establishes the model of the unmanned photoelectric reconnaissance vehicle network for cooperative target positioning, and uses the least-squares method to design the target positioning algorithm. The error between the target position value and the true value is within 10m, which proves that the algorithm can effectively obtain the target position information, and provides an effective method for the hidden acquisition of target position information in the unmanned photoelectric reconnaissance vehicle network.
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