基于粒子群模糊PID的PCR温度控制系统

PCR Temperature Control System Based on Particle Swarm Optimization Fuzzy PID

为了提高温度控制系统升降温速率,改善温控系统的性能,提出了使用粒子群算法优化模糊PID控制参数初始值,提高模糊PID算法性能,来实现系统温度调节的方法。建立温控系统机械结构、控制电路、仿真模型,进行仿真验证。对PID控制、模糊PID控制、粒子群优化模糊PID控制、遗传算法优化模糊PID控制分别进行仿真分析,仿真结果表明,粒子群优化模糊PID控制效果最好,此时系统升温速率能达到7.69℃/s,降温速率达到5.57℃/s。搭建PCR扩增仪,采用质粒扩增进行生物实验验证,将反应结果进行电泳,电泳条带的大小与宽度表明,设计的PCR温度控制系统能够满足核酸扩增生物实验所需的温度环境。对系统温度性能进行测试,结果显示,系统实际升温速率达到6.648℃/s,实际降温速率达到5.22℃/s,控温精度为±0.2℃,温控系统具有较好的响应速度。

In order to improve the rate of temperature rise and fall in the temperature control system and the performance of the temperature control system,a method of using particle swarm optimization to optimize the initial values of fuzzy PID control parameters and improve the performance of the fuzzy PID algorithm is proposed to achieve system temperature regulation.Build the mechanical structure,control circuit,and simulation model of the temperature control system for simu-lation verification.Through the simulation analysis of PID control,fuzzy PID control,particle swarm optimization fuzzy PID control,genetic algorithm optimization fuzzy PID control,particle swarm optimization fuzzy PID control has the best effect.The simulation results show that the system has a heating rate of 7.69℃/s and a cooling rate of 5.57℃/s.Plasmid ampli-fication was used for biological experimental verification,and the reaction results were electrophoretically analyzed.The size and width of the electrophoretic bands showed that the PCR temperature control system designed in this article can meet the temperature environment required for nucleic acid amplification biological experiments.Through testing the tem-perature performance of the system,the results show that the system has a heating rate of 6.648℃/s,a cooling rate of 5.22℃/s,and a temperature control accuracy of±0.2℃.The temperature control system has a good response speed.