Research On Spray Control System Based On Improved PID Algorithm

In recent years,China has vigorously built public facilities such as infrastructure buildings,convention and exhibition centers,and sports arenas.Since these public facilities are non-enclosed buildings,the use of ordinary air conditioning and refrigeration equipment will not only increase a lot of cost consumption,but also have a very insignificant cooling effect.The use of spray cooling equipment to open places cooling treatment is a popular cooling method in recent years,spray cooling equipment mainly uses clean energy water as cooling medium,atomization treatment of water molecules,atomized water molecules through evaporation heat absorption to reduce the ambient temperature.Spray cooling belongs to clean energy,and the energy consumption in the cooling process is extremely low,which has good development prospects.This project is based on laboratory related equipment,combined with the optimization analysis and design of PLC controller and other hardware equipment,and the spray cooling control system is studied.The spray cooling system used in this project consists of modules such as water supply device,pressure supply device,spray device,control device,and detection device,and the spray cooling effect is achieved by coordinating the operation of each module.Firstly,the overall scheme of spray cooling control is designed by studying the background of the current situation at home and abroad.Secondly,the spray cooling mechanism is studied and a mathematical model is constructed,focusing on improving the ordinary PID control algorithm into the Smith estimated fuzzy PID model,introducing fuzzy control rules and Smith preestimation method to improve the ordinary PID,and using Matlab software to build and simulate the algorithm to verify the advantages of the spray reduction system-free improvement algorithm,adjust the optimal control model,and use PLC programming software to implement the Smith estimation fuzzy PID algorithm.Then,the hardware is selected,a hardware experimental platform is built,a PLC program is written for the control system to realize the automatic control of the spray module,and a host computer is built to realize the remote control and data detection of the spray system.Finally,the spray cooling system is simulated and debugged with load commissioning,and the advantages and feasibility of the improved PID algorithm in the spray cooling control system are verified.The research content of the subject is mainly applied to the cooling system of large-scale exhibition venues,which realizes fully automatic control,has the advantages of remote control and resource saving,and can effectively reduce the ambient temperature.