In the control of quality regulation system for the heat exchange station,due to the time-varying,uncertain,and nonlinear characteristics of the controlled object,traditional PID algorithms are difficult to meet the accuracy requirements for the return water temperature control of the secondary network of the heat exchange station.A Model Predictive Control(MPC)strategy based on step response is proposed to achieve accurate control of the return water temperature of the heating secondary network.Based on on-site collected heating data,the process parameters of the heating secondary network model are identified using the Recursive Damping Least Squares(RDLS)algorithm,and the Dynamic Matrix Control(DMC)algorithm is used to adjust the control parameters;the objective optimization function is applied to the dynamic matrix control algorithm for control quantity optimization.Through MATLAB simulation verification,it is shown that compared with traditional PID control,this control strategy can better control the return water temperature of the secondary network of the heat exchange station,with the advantages of small overshoot and short adjustment time.Finally,the method is programmed and implemented using a Field Programmable Gate Array(FPGA).