针对建筑室内热环境模型预测控制中的计算冗余和通信负担问题,提出了一种积分型事件触发控制策略。首先考虑相邻热区温度的影响,基于等效电路法建立了一种简化的建筑电阻电容(resistance-capacitance, RC)热网络模型,并对模型的准确性进行了验证；然后提出了一种基于状态误差的积分型事件触发机制(integral-type event-triggered mechanism, ITETM),在此基础上提出了基于RC热网络的积分型事件触发模型预测控制(model predictive control, MPC)方法；最后通过EnergyPlus和MATLAB的联合仿真实验对所提出的控制方法性能进行验证。结果表明,所提出的控制策略可以有效减少优化问题的求解计算量和信息传输次数,并在保证室内温度舒适的同时降低建筑运行能耗。

Aiming at the problem of computational redundancy and communication burden in model predictive control of indoor thermal environment, an integral-type event-triggered control strategy is proposed. Firstly, a simplified building resistant-capacitance (RC) thermal network model is established based on the equivalent circuit method, considering the influence of the temperature of adjacent hot areas, and the accuracy of the model is verified. Then an integral-type event-triggered mechanism (ITETM) based on state error was proposed. On this basis, an integral-type event-triggered model predictive control (MPC) method based on RC thermal network is proposed. Finally, the performance of the proposed control method is verified by the co-simulation experiment of EnergyPlus and MATLAB. The results show that the proposed control strategy can effectively reduce the calculation and information transmission times of the optimization problem, and reduce the energy consumption of the building while ensuring the indoor temperature comfort.

TU831

国家自然科学基金(No. 62473301)；国家重点研发计划(2022YFC3802702)