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Advanced monitoring and control of anaerobic wastewater treatment plants: software sensors and controllers for an anaerobic digester

机译:厌氧废水处理厂的高级监视和控制:厌氧消化池的软件传感器和控制器

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A mass balanced based model representing the dynamical behaviour of anaerobic digester has served as a basis for the design of software sensors for the concentration of inorganic carbon, alkalinity and volatile fatty acids. The predictions of the sensors are class to the actual off liner measurements. The model has also been used to design a model-based adaptive linearizing controller and a fuzzy controller whose objective is to regulate the, ratio of the intermediate alkalinity over the total alkalinity below some desired value (0.3) under which the process is assumed to remain in stable conditions and avoid VFA accumulation. Both controllers were calibrated via extensive numerical simulations and implemented. The controllers proved successful in maintaining the ratio of TA over PA below 0.3, even in presence of large variations of the organic load. [References: 6]
机译:代表厌氧消化器动力学行为的基于质量平衡的模型已作为设计用于无机碳,碱度和挥发性脂肪酸浓度的软件传感器的基础。传感器的预测属于实际离线测量值。该模型还已用于设计基于模型的自适应线性化控制器和模糊控制器,其目的是将中间碱度与总碱度之比调节为低于某个期望值(0.3),并假定该过程保持不变在稳定的条件下,避免VFA积累。两个控制器均通过广泛的数值模拟进行了校准并得以实现。事实证明,即使有机负荷变化很大,控制器也能成功地将TA与PA的比例保持在0.3以下。 [参考:6]

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