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首页> 外文期刊>Journal of Process Control >STATE AND PARAMETER ESTIMATION FOR PHOSPHORUS REMOVAL IN AN ALTERNATING ACTIVATED SLUDGE PROCESS
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STATE AND PARAMETER ESTIMATION FOR PHOSPHORUS REMOVAL IN AN ALTERNATING ACTIVATED SLUDGE PROCESS

机译:交替活性污泥过程中除磷的状态和参数估计

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摘要

Biological phosphorus removal involved in the advanced activated sludge process requires more efficient on-line monitoring and process control. However, the substantial complexity of the process behaviour and the limited availability of reliable on-line measurement challenge the application of advanced process control techniques. This paper presents an application of state and parameter estimation techniques in an altering activated sludge process with regard to biological phosphorus removal. A simplified model describing the phosphorus dynamics in an alternating activated sludge process is proposed based on insight into the process with a mechanistic activated sludge model. State and parameter estimation problems relating to the non-measurable dynamics of a most important limiting substrate poly-hydroxyalkanoate (PHA) are formulated and discussed. Several schemes are presented which involve a state estimator designed with the extended Kalman filter algorithm, two specific parameter estimation procedures and an adaptive scheme for simultaneous state and parameter estimation. All these schemes are oriented to practical application and therefore same techniques dealing with the implementation are also provided. Simulations and experimental demonstrations are presented which illustrate the performance of these procedures and schemes. [References: 14]
机译:先进的活性污泥工艺中涉及的生物除磷需要更有效的在线监测和工艺控制。然而,过程行为的实质复杂性和可靠在线测量的有限可用性挑战了先进过程控制技术的应用。本文介绍了状态和参数估算技术在改变活性污泥过程中生物除磷方面的应用。基于对机械活性污泥模型的深入了解,提出了一种简化模型,该模型描述了交替活性污泥过程中的磷动力学。制定并讨论了与最重要的限制底物聚羟基链烷酸酯(PHA)的不可测动力学有关的状态和参数估计问题。提出了几种方案,其中包括使用扩展卡尔曼滤波器算法设计的状态估计器,两个特定的参数估计过程以及用于同时状态和参数估计的自适应方案。所有这些方案都面向实际应用,因此也提供了与实现有关的相同技术。进行了仿真和实验演示,以说明这些程序和方案的性能。 [参考:14]

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