Intelligent Control System Design And Algorithm Study Of Heating Calories

At present, the northern China in winter mainly rely on concentrated heating, which present large problems of manually adjusting and energy wasting. In order to achieve automatic adjustment of indoor temperature, we install heating temperature controller to control the flow of the hot-water on the client side. After that the heating system can avoid excessively high or low temperature indoor.Since the heating system is a relatively complex dynamic system, it’s easy to find that mathematical model present large inertia, large delay and uncertainty. Based on the structure of the clients heating system, this essay design the heating calories intelligent control system hardware using the test simulation of Proteus software, which provides a platform for further research of algorithm control. This essay is focused on the research of the three algorithm control of Smith predictor control algorithm, fuzzy control algorithm and generalized predictive algorithm control. In the view of the controlled object of large inertia, large delay and kinds of uncertainties, this essay analyzes the advantages and disadvantages of the chosen algorithm, and studies the feasibility of fuzzy adaptive PID control algorithm and the generalized predictive fuzzy PID algorithm.Combining the Simulink block diagram with the programming method, this essay makes algorithm simulation experiment. Simulation results show that generalized predictive fuzzy PID control algorithm which proposed by this subject can produce better results.After data analysis, this control algorithm can achieve better control effect than just using a certain control algorithm on stability and speed, etc.