Design Of Methanol Boiler Control System Based On STM32

In recent years,coal led boilers have been widely used in industry and life,but they have brought serious environmental problems.Therefore,the state has issued a series of rectification policies to explore new clean energy.Although gas-fired boiler has played an important role in the urban heating problem,but the remote suburbs are deterred by transmission and other problems.As the representative of clean boiler,methanol boiler has gradually come into the human sight with its unique advantages.In this paper,methanol boiler control system is taken as the research object,and further research is carried out for the purpose of improving control accuracy and boiler thermal efficiency.The main contents are as follows:First of all,the uniqueness of methanol boiler is studied,including the uniqueness of fuel and process,as well as the advantages of methanol boiler.In addition,the core module of methanol boiler system is analyzed and designed.Firstly,the whole control system is designed,and then the core part including valve opening,fan frequency,remote monitoring function is analyzed and designed.The parameter setting of the controller affects the control accuracy,and the ratio of fuel quantity and air supply directly determines the thermal efficiency value of the boiler,so the control of this part is the focus of this paper.Secondly,after the key research points are determined,the parameters that affect the control accuracy are optimized.The optimization is mainly aimed at the parameters of PID controller.According to the control structure of methanol boiler,a simulation model is built.The Differential Evolution(DE)algorithm and the Fuzzy Differential Evolution(FDE)algorithm are added to PID.The simulation compares and analyzes the influence of PID,DE-PID and FDE-PID on the system.Finally,FDE-PID is better than the other two algorithms in each system index.Then,in order to further achieve energy conservation and emission reduction,improve the thermal efficiency of the boiler,the ratio of fuel quantity and air supply is optimized.Firstly,the energy budget of methanol boiler is analyzed as a whole,and the concept of excess air coefficient is introduced.A two-step method based on the fuzzy self optimization algorithm and the Particle Swarm Optimization(PSO)algorithm are proposed to dynamically optimize the value of excess air coefficient.Simulation results show that the methanol boiler control system based on PSO algorithm shows more superior performance.In order to further optimize,the particle swarm optimization,the Mutation Particle Swarm Optimization(MPSO)and the Simulated Annealing Particle Swarm Optimization(SAPSO)are compared and analyzed.Finally,it is concluded that the SAPSO is more suitable for methanol boiler control system.Finally,on the basis of research and simulation,this paper designs a boiler combustion controller with STM32 as the core,power supply,clock,debugging,alarm,remote monitoring and other circuits as peripheral circuits,and completes the hardware schematic drawing and PCB production with Altium Designer Release10 as the development platform.In addition,according to the design of hardware,the software flow chart of each module is made,and the program is completed.The software is developed on ?C/OS-II embedded real-time operating system.The LCD display interface and PC interface are designed on ?C/GUI and Lab VIEW platform respectively.Finally,the system is debugged,and the experimental results show that the system has achieved the expected detection effect,and has practical value.