Design and Research of Air Source Heat Pump Temperature Control System Based on GPC

Abstract

There are many problems in the air source heat pump system, such as nonlinear, multi-disturbance, accurate model uncertainty and so on. The traditional PID control scheme has been unable to meet its process requirements. As a kind of model predictive control, Generalized Predictive Control adopts prediction model, feedback correction and rolling optimization, etc, which has the characteristics of strong robustness and low model requirements, and can effectively overcome its shortcomings. In this paper, the mathematical model of air source heat pump is established, and the Generalized Predictive Control strategy is proposed. The Generalized Predictive Controller, PID controller and Fuzzy controller are designed on the MTALAB simulation platform. By comparing the experimental results, we can see that Generalized Predictive Control has better robustness, tracking performance and overall performance.