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首页> 外文期刊>Canadian Agricultural Engineering >Simulation-based control of enclosed ecosystems - a case study: determination of greenhouse heating setpoints
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Simulation-based control of enclosed ecosystems - a case study: determination of greenhouse heating setpoints

机译：基于模拟的封闭生态系统控制-案例研究：确定温室供暖设定点

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摘要

This study aimed to investigate the use of a simulation based approach for the control of enclosed ecosystems. To do this, a simulation-based controller was developed and implemented in a simulated greenhouse system. The role of the controller was to determine the setpoint path that would minimize the energy requirements for heating. It did this once a day, for the ensuing 24 hours, by simulating the greenhouse behaviour in response to anticipated meteorological conditions. For each day a number ofsimulations were run for various setpoint scenarios and the most favourable scenario chosen. The greenhouse model that was used for these simulations was a neural network. The strategy used by the controller was based on the supposition that crops havea temperature integration capacity. Overall, the simulation-based controller allowed the greenhouse system to adapt itself to the anticipated disturbances and to behave more optimally than with a reference controller. It maintained high night temperatures when outside temperature and solar radiation intensity were anticipated to be low during the next day, and vice-versa. This control approach reduced the average heating load by more than 7%. The results illustrate the adaptive capacity of a simulation-based controller and provides a basis for the use of this approach in various other types of enclosed ecosystems.
机译：这项研究旨在调查基于模拟的方法对封闭生态系统的控制。为此，开发了基于模拟的控制器，并将其实施在模拟温室系统中。控制器的作用是确定设定点路径，以最大程度地减少加热所需的能量。在接下来的24小时内，它通过模拟温室响应预期的气象条件，每天进行一次。每天针对各种设定值方案和最合适的方案运行许多模拟。用于这些模拟的温室模型是一个神经网络。控制器使用的策略是基于这样的假设，即农作物具有温度整合能力。总体而言，基于模拟的控制器使温室系统能够适应预期的干扰，并且与参考控制器相比，其行为更为优化。当预计第二天的室外温度和太阳辐射强度较低时，它将保持较高的夜间温度，反之亦然。这种控制方法将平均加热负荷降低了7％以上。结果说明了基于仿真的控制器的自适应能力，并为在各种其他类型的封闭生态系统中使用此方法提供了基础。

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