In this paper, we apply an extremum-seeking control strategy to a variable refrigerant flow (VRF) system, where the total power consumption is minimized by adjusting the compressor discharge pressure setpoint and the outdoor unit fan mass flow rate, incorporating constraints on the zonal temperature setpoint regulation. A simulation study is conducted using a Modelica dynamic simulation model of a VRF system with one outdoor unit and four indoor units. Simulation results validate the effectiveness of the proposed method of power minimization with the constraint of zone-temperature regulation. The ESC strategy incorporates online penalty-weight estimation and loop-gain adaption, which are shown to improve convergence.

在本文中，我们将极值寻求控制策略应用于可变制冷剂流量 (VRF) 系统，其中通过调整压缩机排气压力设定点和室外机风扇质量流量来最小化总功耗，并结合区域约束温度设定值调节。使用带有一个室外单元和四个室内单元的 VRF 系统的 Modelica 动态仿真模型进行了仿真研究。仿真结果验证了所提出的具有区域温度调节约束的功率最小化方法的有效性。ESC 策略结合了在线惩罚权重估计和循环增益自适应，这被证明可以提高收敛性。