基于强化学习的化学发光免疫分析仪温度控制策略研究OA

Traditional PID control,as the most commonly used control algorithm,has a wide range of applications in the temperature control unit of fully automatic chemiluminescence immunoassay analyzer.However,there are problems such as difficulty in tuning PID control parameters,long adjustment time,and large overshoot.How to shorten temperature adjustment time,reduce overshoot,and further improve instrument inspection efficiency while ensuring temperature control accuracy has become a problem that needs to be solved,To address this issue,a temperature control algorithm based on Deep Deterministic Policy Gradient(DDPG)is applied,which can avoid relying on manual experience for PID parameter tuning,shorten temperature adjustment time,and significantly reduce overshoot.By analyzing the parameter indicators of temperature control through simulation experiments,the results show that this algorithm is superior to traditional PID control and fuzzy PID control algorithms,In terms of adjustment time,it has increased by 14.9%and 6.3%respectively,and in terms of overshoot,it has increased by 99.8%and 99.2%respectively,which is of great significance for improving the performance of the instrument.