基于协调的变风量空调系统分布式预测控制

在实验和系统动力学行为分析的基础上，建立了变风量空调实验系统的内部模型，并分解为7个子系统。各个子系统分别采用模型预测控制（MPC）进行局部优化控制。在保证各个子系统之间网络连通和信息共享的基础上，将各个MPC的局部目标组合成系统级目标，从而把大规模的变风量空调控制系统在线优化问题转化为各子系统小规模的分布式优化问题。通过仿真和实验研究，验证了系统控制的效果。

Distributed Predictive Control Based on Cooperation for Variable Air Volume (VAV) Air-Conditioning System

A VAV (variable air volume) air-conditioning internal model is established based on experimentation and the analysis of the dynamic behavior of the system. And the whole system is decomposed into seven subsystems. MPC (model predictive control) is used for each subsystem to carry on the local optimum control separately. While ensuring network connectivity and the full sharing of information between the various subsystems, the local goals of the various MPC will be combined into the system-level goal, thus the on-line optimization problem for large-scale VAV air-conditioning system is transformed into small scale distributed optimization problems. Simulation and experimentation study demonstrate the control effect of the system proposed.