The Research On Temperature Control For Artifical Climate Room

The artificial climate room is device to control temperature, illumination and humidity. The controller of it is widely designed based on PID algorithm in past. But, the parameter of PID controlling rule is hard to be adjusted. Besides, the artificial climate room has a large delay and it is a nonlinear multi-variable system, while PID algorithm is not fit for this case. And the PID algorithm is too sensitive to the change of the environmental chamber system. With the quick development of the intelligent control technology, it changes our thought and concept in control field. Intelligent predictive control has started to present as one of the new research domain of model predictive control.At first,the basic circumstances of theproject and its design scheme are introduced.Secondly, we have done some research in the development of fuzzy identification technology. It consists of Madani fuzzy inference system, T-S fuzzy identification system and Adaptive-Network-Based Fuzzy Inference System. At the same time, we finished some simulation and application based on temperature of the artificial climate room. It proves that the model of identification based on Adaptive-Network-Based Fuzzy Inference System is effective on the nonlinear, indefinite and inertial system. Then we develop the Dynamic Matrix control algorithm and design based on ANFIS Dynamic Matrix controller.At last, the thesis mainly discusses the hardware design of computer control system based on the TMS320F2812, the programmingof software, the realization of functions and the scheme of solving problem in the scene. Moreover, the paper also discusses some methods on the stability and reliability.