基于节能偏好的冲突多目标相容温室环境控制

Conflict Multi-objective Compatible Control of Greenhouse Climate Based on Energy-saving Preference

在温室环境控制问题中,传统的控制方法追求精确的点目标控制,而精确的控制精度是以高的能量消耗为代价的。针对温室环境控制这一实际问题,采用多目标相容控制算法来进行控制。因为在相容控制算法中点控制目标被放宽到区间内,所以有很大的余地来协调控制精度和能耗。为了满足相容控制算法在控制过程中节能偏好的需要,对遗传算法进行了改进,把节能这一偏好信息引入到了优化过程中、参与进化寻优。通过对经典温室模型仿真,验证了新算法在节能降耗方面的优势。

In the greenhouse climate control problem, classical control methods pursue precise point control; however, precise control is at the cost of high energy consumption. The Multi-Objective Compatible Control （MOCC） algorithm was applied in the greenhouse climate. Because control point is enlarged to interval in MOCC, much more room can be used to compromise the control precise and energy consumption. In order to meet the MOCC＇s demand, GA was modified and energy-saving preference information was incorporated into the optimization process. In the classical greenhouse model, classical control method was compared with MOCC based on preference information, and the results show that MOCC has an overwhelming advantage over classical control with respect to energy-saving.