Research And Design Of Embedded Temperature And Humidity Controller

Temperature and Humidity Control almost occour in the whole reamls of daily life. In most of situations,Temperature and Humidity Control always adopt traditional PID control. The theories and applied technology of this kind of traditional control method go through very long development history.However,with development of the science and technology, people are continuous to enhance request in Temperature and Humidity Control,especially in spaceflight,electronics,chemistry,hylology and bioengineering those high-tech experiment reamls ,The Temperature and Humidity Control requests have already outrun normal regulations to request.This thesis introduces a Neuron Temperature and Humidity Control System Based on ARM Embedded System. To some traditional PID methods ,and Neuron Control system have some obvious predominance in some big temporal variation,close coupling,controller lag nonlinearity system. This Temperature and Humidity Auto Control System adopts a control pillar on ARM Embedded System,makes use of Neuron technology to control executing mechanism,and carry through dynamic state decoupling, promise the temperature and humidity change strictly according to enactment of target value in temperature and humidity box,improve control precision in temperature and humidity. This box that this method design possess some characteristics which is attain enactment of time be short and respond intelligent, the anti-interference ability strong etc.The intelligent control algorithms of single loop control and decoupling control of temperature and humidity are emphasized, and the test characteristic curves are also given. To compare The PID or The Shift PID with The Single Neuron,introduce The Single Neuron Algorithm have better control effect than traditional PID algorithms. In order to remove the coupling between temperature and humidity ,by consulting literature,two decoupling methods named Neuron decoupling algorithms are put forward. Also, in the ARM7 LPC2210 ES hardware development platfom and the C of ADS1.2 sofeware circumstance,I complie The No Decoupling Double Dhannel Single Neuron algorithms and two kinds Decoupling Double Channel Single Neuron algorithms. The test characteristic curves show that the two new algorithms have a better decoupling and control effect.,it can achieve target parameter.The hardware block diagram of the control system of temperature and humidity is given, and the structures and realizations of input and output channel are stressed. Additionally, the driver software block diagram and other all kinds of control algorithms are presented. And also introduce VB Com port communication program and transplant uc/os-II OS and tasks attemper .Finally, the summarization and views are provided.We believe that the combined temperature and humidity neuron decoupling control algorithms presented in this thesis have small overshoot,short adjusting time,and good robustness,and deserving promotion.