Design Of Smith Predictive Temperature Control System Based On ARM

In the fields of household appliances,agricultural and industrial production,medical research and other fields,the use of semiconductor refrigerators to achieve temperature monitoring and regulation has an extremely important impact on improving production efficiency,saving social resources,and improving technological innovation.Traditional thermostatic control system has problems such as large response delay,poor stability and large overshoot,which make it difficult to reach the ideal control standard.In view of the shortcomings and shortcomings in the field of temperature control,the main research contents of this paper are as follows:Firstly,this article introduces a PID temperature system based on Smith lag compensation.The Smith compensation controller is added to the loop system to predict the performance of the object in advance and feed it back to the regulator to compensate for the error of the process,and through Matlab Software design model.The simulation results show that the traditional PID algorithm and Fuzzy-PID algorithm have a faster rising speed,but the steady-state quality is poor and the adjustment ability is weak;the overshoot of the Smith algorithm is smaller than other algorithms,the temperature rises faster,and the adjustment is stable The temperature value takes less time,which obviously improves the performance of the temperature control system and can achieve the expected steady-state characteristics.This algorithm can effectively suppress the influence of pure lag,reduce the overshoot of the system,and accelerate the response process.Secondly,a hardware platform with STM32F103 as the core of MCU is designed.The system is composed of temperature measurement module,buzzer module,WIFI module,liquid crystal display module and upper computer module,etc.and hardware objects are built.The set temperature value is entered by pressing the button,and the K-type thermocouple is used as the temperature measurement module to obtain the target temperature value.The collected signals are adjusted by the control algorithm,and the semiconductor heating sheet is regulated by the heating module.Finally,the debugging results are observed on the LCD screen and the upper computer for experimental verification.C language compiler Keil5 development platform was used for online programming and debugging.The upper computer adopted graphical programming software Lab VIEW to design human-computer interaction interface,and completed functions such as temperature signal collection,temperature curve display,error calculation and result analysis.Finally,the results show that the design of the Smith prediction model algorithm in a temperature control system has played a Smith of forecast compensation effect,compared with the traditional control method,Smith prediction model algorithm can restrain the overshoot of the system,speed up the adjustment response rate,to compensate the time lag control system through improve the steady state characteristics of controlled objects,achieve good control effect.Figure [50] table [13] reference [61]...