基于遗传算法自整定和Smith预估的电子倍增电荷耦合器件温控系统设计

发布时间：2018-05-18 19:05

  本文选题：PID + 遗传算法　； 参考：《科学技术与工程》2016年29期

【摘要】：针对电子倍增电荷耦合器件(EMCCD)温度控制过程的时间滞后特性,根据热力学理论建立整个系统的数学模型,利用有限元仿真方法得到其传递函数,在此基础上采用遗传算法实现PID控制参数的在线自适应整定,同时结合Smith预估控制补偿由滞后环节产生的时间迟滞。采用Matlab对控制算法进行仿真分析,结果表明该方法较常规PID控制方法具有调整时间短、超调量小、抗干扰能力强等优点。设计基于单片机和TEC驱动模块的硬件电路将控制算法应用于EMCCD温度控制系统,相机实际制冷温度可达(-12±0.1)℃,图像本底噪声方差仅为18。实际应用结果表明温度控制系统是提升EMCCD相机成像性能的有效方法。
[Abstract]:In view of the time-lag characteristics of the temperature control process of the electron multiplier charge coupled device (EMCCD), the mathematical model of the whole system is established according to the thermodynamic theory, and its transfer function is obtained by using the finite element simulation method. On the basis of this, genetic algorithm is used to realize the on-line adaptive tuning of PID control parameters, and Smith predictive control is used to compensate the time delay caused by the lag link. Matlab is used to simulate the control algorithm. The results show that the proposed method has the advantages of shorter adjustment time, less overshoot and stronger anti-jamming ability than the conventional PID control method. The hardware circuit based on MCU and TEC driver module is designed to apply the control algorithm to the EMCCD temperature control system. The actual refrigeration temperature of the camera can reach -12 卤0.1 鈩，

本文编号：1906841