基于PMV指标的双闭环前馈解耦式室内空气控制策略

A Double-Closed-Loop Control Strategy about Indoor Air Condition Based on Feedforward-Decoupling and PMV Index

本文针对空调系统动态时变、非线性、大时延、干扰随机、强耦合的特性,提出了以前馈解耦式广义预测控制为内环和PMV指标自校正优化为外环相结合的双闭环控制策略,该策略核心在于前馈解耦式预测控制内环以及PMV指标优化外环,并对该控制策略算法进行仿真,仿真结果表明其稳态精度高,具有较好的跟踪性能.

Characteristics of air-conditioning system are dynamic,time-varied,nonlinear,large time-delay,random disturbance,serious coupled.Then it put forward a double-closed-loop control algorithm based on feed forward-decoupling general-ized predictive control and self-tuning of PMV index.The core ofs trategy is performed on inner cycle feed forward-decoupling generalized predictive control and outer cycle optimization of PMV index.Simulation results indicate the good performance of this control algorithm.