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Based on the airborne platform, the research on the measurement technology of moving base target is not without loss of generality. The methods and key technologies to improve the target measurement accuracy can be applied to airships, ships, vessels, vehicles and other moving platforms. However, the optical measurement based on the moving platform relies heavily on the position and attitude measurement accuracy of the platform itself. Therefore, aiming at the measurement environment of the airborne opto-electronic platform, a calibration camera unit is proposed to be installed on the UAV, and an attitude measurement system is formed by the active motion cross aim imaging of the calibration camera. According to the prior attitude information, position information, target UAV position information and target UAV miss distance, the attitude of UAV is calculated and measured. This paper first introduces the working principle of the whole system, and then deduces the attitude solution method in detail. Finally, through simulation, it is verified that this method can reach the attitude solution accuracy within 17 ”. The method proposed in this paper is an effective supplementary means of range optical measurement, which lays a foundation for further research.

In order to solve the problems of tracking accuracy and servo performance degradation caused by the lagging measurement information and amplitude mismatch of the heterogenous sensor in the photoelectric pod system, a high-precision comprehensive processing method based on multisource sensor measurement information is proposed in this paper according to the typical control loop of the photoelectric tracking system. Firstly, based on the optimal estimation theory, the output miss distance of the tracker is pre estimated to solve the problem of insufficient estimation of target position accuracy and high speed noise. Then, in view of the information mismatch between the angle sensor and the angular velocity sensor, the nonlinear tracking differentiator is used to get the angular velocity of the angle sensor and make a difference with the measured value of the angular velocity sensor. Finally, the amplitude and delay of the measurement information are adjusted adaptively according to the size of the root mean square of the difference value until the difference value is minimized. The algorithm was applied to the stable tracking experiment of a certain type of pod, and the results showed that the tracking accuracy increased from $92\ \mu \text{rad}$ to $54\ \mu \text{rad}$ , which significantly improved the tracking accuracy of the system and proved the effectiveness of the algorithm. The method proposed in this paper can be quickly applied to other photoelectric systems, and has reference significance[1].

In order to solve the problem that friction, wire-wound, wind resistance and other disturbing moments seriously affect the stability tracking precision during the task of the photoelectric pod system, the fuzzy adaptive control algorithm with extended dimension is proposed in this paper. In this method, an accelerometer is first installed on the reflector of the pod. After obtaining the linear acceleration information and transforming it into angular acceleration, the fuzzy adaptive controller is designed according to the characteristics of wind resistance pulsation torque. The controller takes the mirror angular velocity, angular acceleration and target miss distance as input, and further adjusts the output of the controller according to the change of input and the fuzzy rule base of training. This algorithm was applied to the stable tracking experiment of a certain type of pod, and the results show that the tracking accuracy is improved from $59.7\mu\text{rad}$ to $32.4\ \mu\text{rad}$ . It is proved that the algorithm proposed in this paper can effectively suppress the disturbance torque and significantly improve the tracking accuracy and speed stability in the process of pod mission. This algorithm can be used in other servo control systems as a general method of disturbance torque suppression.

The target position accuracy of the two aircraft intersection position system depends heavily on the position and attitude measurement accuracy of the platform. For this reason, this paper proposes the INS/ CNS integrated navigation method based on the stable platform of star seeking for the intersection measurement environment of airborne photoelectric platform, which is used to obtain the attitude and position reference of UAV platform accurately and in real time, finally improve the target position accuracy of the intersection measurement of two UAVs[3].

Comparing with typical closed loop PID control strategy, dynamic matrix control (DMC) strategy performs well in tracking system and could also be directly applied to plant model with time-delay, however its ability of anti-interference is much weaker than typical PID control strategy. In this paper, DMC-PID cascade control strategy is proposed combined with the advantages of these two algorithms and was simulated in a uniaxial DC servo system in order to shorten the time-delay and enhance the stability of the system. The simulated results show that this double control strategy does much better than typical PID algorithm especially in tracking property, accuracy, robustness.