射手模型优化与辨识及其对图像制导的影响

The human-in-the-loop guidance mode based on data link communication introduces additional shooter dynamics and has image signal delay, while the control loop with shooter dynamics will track and compensate the Line of Sight (LOS) angle error, thus directly improving the guidance and control performance of image guided ammunition. To explore the influence of shooter dynamics and image signal delay on human-in-the-loop guidance performance, a correction network is designed to meet the performance requirements of the seeker stability loop based on the real image seeker model and parameters. Two shooter models are introduced, with the shooter model 2, tructure optimized and dynamic parameters obtained via identification experiments in close-to-real environments, compensating for the shortcomings of the existing modeling. Based on the adaptability of the shooter to different image signal delays, the influence of two shooter models and different image signal delays on the stability, rapidity of the seeker and guidance precision of the human-in-the-loop proportional navigation guidance system are studied. The results show that the longer the image signal delay, the lower the seeker tracking speed, the larger the LOS angle error, and the longer the convergence time of the guidance system. The optimized second shooter model 2 and parameter identification more accurately describe the shooter behavior, which has a lower impact on the guidance system and meets the performance requirements of the system.