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为了检测红外瞄具在高低温恶劣环境下对不同波长的红外目标成像可靠性,利用黑体和平行光管组成的光学系统模拟无穷远红外目标,红外瞄具置于高低温环境下,CCD采集红外瞄具对红外目标所成的像,从而判定高低温下红外瞄具成像质量。所设计的平行光管视场大,各波长对应焦平面处在20 lp/mm空间频率下的MTF均高于0.2。同时为了实现快速准确地在检测系统中提供稳定的-55~70℃的高低温实验条件,采用一种基于自适应模糊PID温度控制技术。采用自适应因子将模糊推理器和PID控制器相结合,通过在线自调整控制参数,进一步提高了PID控制器的性能和系统的控制精度。实验表明该方法提高了常规PID控制的动态响应过程并保持无静态误差,其控制精度可达±0.05℃。
In order to detect the reliability of infrared target in different wavelength infrared targets under high and low temperature harsh environment, the infrared system is simulated by the optical system consisting of blackbody and collimator. Infrared target is placed in high and low temperature environment, Aimed at the infrared target into the image, so as to determine the high and low temperature infrared sight image quality. The designed collimator has a large field of view, and the MTFs at the spatial frequency of 20 lp / mm for each wavelength corresponding to the focal plane are higher than 0.2. At the same time, in order to achieve a fast and accurate test system to provide stable -55 ~ 70 ℃ high and low temperature experimental conditions, the use of an adaptive fuzzy PID temperature control technology. Adopting adaptive factor to combine fuzzy reasoner and PID controller, self-adjusting control parameters online can further improve PID controller’s performance and system’s control precision. Experiments show that the proposed method improves the dynamic response of conventional PID control and maintains no static error. Its control accuracy can reach ± 0.05 ℃.