Identification and self-tuning control of heat pump system based on neural network
Yan-juan Lu, Yi Ting Yang, Gu Haiqin, Zhang Ye · 2016
The heat pump system is the second order plus pure delay object. In this paper, neural network is applied to the identification and optimization of the heat pump system. With combinations of model online identification and the principle of self-tuning control, the optimal control law for direct-heating heat pump system is derived. In order to confirm its effectiveness, simulation studies are conducted in MATLAB by compiling and debugging M-files. The results reveal that the heat pump control system, designed based on neural network, has good set-point tracking performance and disturbance rejection capability. Compared with traditional intelligent control strategies, the proposed self-tuning control algorithm effectively improves the performance of heat pump system and has generality.