Author:
Chen Xiaofei,Li Chao,Yang Qinmin
Abstract
In this paper, an adaptive finite-time fan-coil outlet wind temperature control scheme is proposed for the air-source heat pump air-conditioning system. First, a correction module is introduced to compensate the first-order damp elements in the temperature sensor to capture the temperature in real-time. Then, a simple neural network is employed to approximate the unknown and nonlinear functions of the system. On this basis, an adaptive finite-time neural controller is developed, and the finite-time convergence of temperature regulation error is ensured. The stability of the studied fan-coil control is guaranteed by rigorous Lyapunov proof. Finally, two simulation examples are carried out to verify the effectiveness of the proposed control scheme.
Subject
Economics and Econometrics,Energy Engineering and Power Technology,Fuel Technology,Renewable Energy, Sustainability and the Environment
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