基于模型识别的高精度制冷控制策略

A High Precision Refrigeration Control Strategy Based on Model Identification

摘要:

遥感相机中需要对焦面组件进行高精度的制冷控制以保证高质量的成像效果,因此基于模型识别进行焦面高精度制冷控制策略的设计。制冷系统在硬件上设计特定的二级放大机制以获得高精度测温数据,实现数字化增量式PID控制算法优化以获得高精度控温效果。系统采用脉冲管制冷机作为控制对象,结合继电反馈识别方式与高阶模型,使用最小二乘拟合方法获得制冷系统过程模型。模型的建立保证了控制算法参数的准确性与控温的精确度,这与传统的PID调参手段相比,大大降低了时间成本,提升了系统的控温精度。通过实验结果表明,本系统的控温精度为±27mk,受到干扰后在6分钟内回稳,实现了高精度高稳定度的制冷控制。

Abstract:

In the remote sensing camera, the focusing surface component is required for high-precision refrigeration control to ensure high-quality imaging, so the focal plane high precision refrigeration control strategy is designed based on model identification. The refrigeration system designs a specific two-stage amplification mechanism on the hardware to obtain high-precision temperature data, and realizes the optimization of digital incremental PID control algorithm to obtain high-precision temperature control effect. This system adopts pulse tube refrigerator as the control object, combines the relay feedback identification method with a high-order model, obtains the process model of the refrigeration control system using least squares. The establishment of the model ensures the accuracy of the control algorithm parameters and the accuracy of temperature control. This method reduces the time cost and improves temperature control accuracy which is much smarter than the traditional method of adjusting parameters. The experimental results show that a high-precision and high-stability refrigeration control is achieved because the temperature control accuracy of the system is ±27mk and it stabilizes within 6 minutes after being disturbed.