论文标题
食品生产单元的模型预测控制：生菜生产的案例研究
Model Predictive Control of a Food Production Unit: A Case Study for Lettuce Production
论文作者
论文摘要
在受控环境中，对具有人造光的植物工厂进行了广泛研究。对于此类控制任务，可以使用生产单元中能源和资源交换的模型以及工厂生长过程的模型。为了达到最低的运营成本，可以考虑到通过控制参考规范的资源可用性，将最佳控制策略应用于系统。模型预测控制（MPC）的一个特殊优势是符合符合执行器局限性和一般植物生长条件的约束。在这项工作中，得出了生产单元的模型，包括描述执行器的电信号与模型的输入值之间的关系。此外，对含有生菜的生产单元进行了基于初步模型的状态跟踪控制。可以观察到，在不断变化的天气条件和资源可用性下，控制器能够跟踪参考。
Plant factories with artificial light are widely researched for food production in a controlled environment. For such control tasks, models of the energy and resource exchange in the production unit as well as those of the plant's growth process may be used. To achieve minimal operation cost, optimal control strategies can be applied to the system, taking into account the availability of resources by control reference specification. A particular advantage of model predictive control (MPC) is the incorporation of constraints that comply with actuator limitations and general plant growth conditions. In this work, a model of a production unit is derived including a description of the relation between the actuators' electrical signals and the input values to the model. Furthermore, a preliminary model based state tracking control is evaluated for production unit containing Lettuce. It could be observed that the controller is capable to track the reference while satisfying the constraint under changing weather conditions and resource availability.
