AbstractThis article reports on mathematical modelling and control of a solar-driven humidification–dehumidification desalination plant. Mathematical models for the components are constructed using CARNOT toolbox in MATLAB environment. Model validation has been shown by comparison with published experimental data. Solar collector outlet temperature control is a key parameter to optimize plant performance. In this study, solar field pump flow rate is controlled to maintain the collector outlet temperature at a predetermined set value. Three types of PID controllers are tested. These include PID, nonlinear PID and fractional-order PID. Controllers’ gains are optimized using genetic algorithm technique. The results show that FOPID controller offers a superior dynamic and static performance and can be automatically adjusted to compensate for weather changes.

中文翻译：

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太阳能加湿-除湿海水淡化厂的建模与控制

摘要本文报道了太阳能驱动的加湿-除湿海水淡化厂的数学建模和控制。组件的数学模型是在 MATLAB 环境中使用 CARNOT 工具箱构建的。模型验证已通过与已发表的实验数据进行比较来证明。太阳能集热器出口温度控制是优化工厂性能的关键参数。在这项研究中，太阳能场泵流量被控制以将集热器出口温度保持在预定的设定值。测试了三种类型的 PID 控制器。这些包括PID、非线性PID和分数阶PID。使用遗传算法技术优化控制器的增益。