In order to improve the heat management level and monitoring quality of urban heat network, a genetic algorithm based PID hot network monitoring system is designed. The system uses PLC as the controller and uses the analog input module to collect the outdoor temperature in real time. According to the average temperature curve of supply and return of the secondary pipe network, the genetic algorithm is used to optimize the PID parameters online and control the average temperature of the secondary pipe network supply and return water. The simulation results show that the PID based on genetic algorithm has better overshooting, faster control time and stronger robustness than traditional PID control, and has good application value.
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Design of Remote Monitoring System for Heating Network Based on Genetic Algorithm PID
Semantic Scholar · Engineering · 2019
Abstract
In order to improve the heat management level and monitoring quality of urban heat network, a genetic algorithm based PID hot network monitoring system is designed. The system uses PLC as the controller and uses the analog input module to collect the outdoor temperature in real time. According to the average temperature curve of supply and return of the secondary pipe network, the genetic algorithm is used to optimize the PID parameters online and control the average temperature of the secondary pipe network supply and return water. The simulation results show that the PID based on genetic algorithm has better overshooting, faster control time and stronger robustness than traditional PID control, and has good application value.