Abstract It is of great significance to study the optimization control of greenhouse light environment that can meet the demands of crop growth and reduce the regulation cost to improve the production efficiency and economic benefits of greenhouse crops. However, due to the complexity of the actual optimization control problem of greenhouse light environment, such as multi-objective, high dimensionality and numerous constraints, the optimization control of greenhouse light environment is still a challenging research topic. Therefore, a hierarchical optimization control method based on crop growth model is proposed, which divides the optimization control problem of light environment into two levels, namely optimal-level and control-level. This method simplifies the computational complexity of the original optimization control problem of light environment by means of hierarchical structure, and thus realizes the solution of the optimization control problem of light environment. Meanwhile, the multi-objective optimization control of light environment is realized through the hierarchical decision-making for the control target of light environment and the operation of light supplement. Finally, taking tomato in solar greenhouse as the research object, the simulation results show that the method is effective. In addition, the average regulation cost of this method is 0.3084$, which is lower than 0.3677 $ of the optimization control method of light environment with fixed threshold as target, it further proves the energy-saving effect of the proposed optimization control method.

中文翻译：

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基于作物生长模型的温室光环境分级优化控制

摘要 研究满足作物生长需求、降低调控成本的温室光环境优化控制对提高温室作物生产效率和经济效益具有重要意义。然而，由于实际温室光环境优化控制问题的复杂性，如多目标、高维、约束众多，温室光环境优化控制仍然是一个具有挑战性的研究课题。为此，提出了一种基于作物生长模型的分层优化控制方法，将光环境的优化控制问题分为最优级和控制级两个层次。该方法通过层次结构简化了原有光环境优化控制问题的计算复杂度，从而实现了光环境优化控制问题的求解。同时，通过对光环境控制目标和补光运行的分层决策，实现光环境的多目标优化控制。最后，以日光温室番茄为研究对象，仿真结果表明该方法是有效的。此外，该方法的平均调节成本为0.3084$，低于以固定阈值为目标的光环境优化控制方法的0.3677$，进一步证明了所提出的优化控制方法的节能效果。