Design of Constant Temperature Building Heating System Based on Fuzzy Adaptive PID Control

In order to study the relationship between the heat dissipation of indoor heat exchanger and indoor and outdoor temperature,this paper considers the building structure,building area and indoor and outdoor temperature difference of student dormitory building.The transfer function with first order inertia lag is constructed according to the known physical model. Meanwhile,the fuzzy adaptive PID control model of real-time control of heat dissipation is established,and the PID parameters are optimized by particle swarm optimization algorithm (PSO).However,due to the high randomness of the PSO algorithm,the fuzzy rules are established to optimize the parameters obtained by the PSO algorithm.The final optimization results basically have no overshoot,and compared with the PID that only optimizes the parameters by the PSO algorithm,it reflects more quickly,reaching the target temperature of 21 degrees Celsius in about 60 seconds.In order to apply the model to practice,the relationship between water supply flow rate and heat dissipation of heat exchanger is given.The heat dissipation of heat exchanger is indirectly controlled by adjusting the flow rate.The daily water consumption of fixed flow rate and variable flow rate is calculated and compared.It is concluded that 15 square houses can save water and reduce carbon dioxide emissions by about 2.7 %,which provides reference for energy saving and emission reduction and improving thermal efficiency.