基于CFD模型的温室温度多指标GA优化控制

Multi-index GA Optimal Control of Greenhouse Temperature Based on CFD Model

摘要:

建立了基于CFD模型的温室温度多指标优化闭环控制系统。采用GA优化算法，在综合考虑温度平均值、温度均匀性和控制代价3项指标下，通过循环迭代构建了温度系统的闭环形式，获取了自然通风模式下的最佳控制量（入口和天窗开度），使得系统在多指标条件下达到最优。仿真实验表明：基于CFD模型的设计方法可将温室整体纳入控制系统之中，区别于传统的“点”控制形式，通过多指标体系的GA算法寻优，可使温室作物的区域性生长差异和能量消耗减小，提高温室控制精度，丰富温室控制系统的设计方法。

Abstract:

Closed-loop control system of greenhouse temperature was established for multi-index optimization by CFD modeling. In the system, multi-index including average temperature, temperature distributed and control cost, and control scene was natural ventilation. In order to minimize these indexes under the control mode, the GA optimization algorithm was adopted to obtain the optimal control outputs (entrances and skylights amplitudes). Simulation experiment shows that the technique of CFD for model can hold whole greenhouse environment into one system to improve control accuracy, and the control objective by CFD model is a “field”, not a “point” as tradition. Meanwhile, using GA algorithm can get the optimal control inputs in multi-index system for reducing regional difference and energy consumption synchronous, so this design technique can richen the technology in greenhouse control system.