关键词: 聚合酶链反应（PCR）温控系统, 模糊控制, PID算法, 高精度

Abstract: An improved fuzzy adaptive PID algorithm is proposed to solve the problem of low temperature rise or fall and less accuracy of the current domestic real-time fluorescence quantitative PCR temperature control system. Firstly, based on the thermodynamic formula, the mathematical model of real-time fluorescence quantitative PCR temperature control system is established. Then on the basis of the fuzzy adaptive PID algorithm, an intelligent regulator for adjusting the quantization factor and scale factor on-line has been added. The PID parameters, quantization factor and scale factor are optimized in real time according to the set fuzzy control rules. The temperature of real-time fluorescence quantitative PCR is controlled by the PID controller and intelligent regulator. Simulink software is used to simulate the PCR temperature control system. The results show that the control precision of fuzzy adaptive PID controller designed has reached [0.1 ℃] and even [0.01 ℃] after rapid stability. The rate of temperature rise and fall is greater than or equal to [7.0 ℃/s]. These can fully meet the requirements of real-time fluorescence quantitative PCR temperature control system for temperature accuracy and temperature rise and fall speed.

Key words: Polymerase Chain Reaction（PCR） temperature control system, fuzzy control, PID algorithm, high-precision