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Modelling and multivariable robust controller for a power plant

机译:电厂的建模和多变量鲁棒控制器

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The primary intention of this paper is to apply a quantitative feedback theory (QFT) controller for boiler pressure inside the Mashhad power plant system. The importance of controlling this boiler pressure is associated from several factors such as uncertain mathematical model of boiler pressure which is caused by lack of knowledge about the dynamics of the system, pay load changes and air flow. Quantitative design of robust control systems applies as a transparent and practical controller design methodology for uncertain single-input single output and multivariable plants. Initially, modelling of the mentioned system and its disturbance are achieved experimentally. Then, a controller is designed for tracking problem and disturbance. The main steps involved in designing are template generation, disturbance, loop shaping and per-filter shaping design. For more comparisons, sliding mode control as a well-known control approach is also applied to the plant. Finally, non-linear simulation has been carried out and the two controllers are compared. Obtained results demonstrate that applying the proposed techniques successfully overcome obstacles for robust control of the power plant pressure.
机译:本文的主要目的是为马什哈德电厂系统内的锅炉压力应用定量反馈理论(QFT)控制器。控制锅炉压力的重要性与多个因素相关,例如锅炉压力的不确定数学模型,这是由于缺乏对系统动力学,有效负荷变化和空气流量的了解而引起的。鲁棒控制系统的定量设计可作为一种透明且实用的控制器设计方法,用于不确定的单输入单输出和多变量工厂。最初,通过实验实现了上述系统及其干扰的建模。然后,设计了一个控制器来跟踪问题和干扰。设计涉及的主要步骤是模板生成,干扰,环路整形和每个滤波器的整形设计。为了进行更多的比较,将滑模控制作为一种众所周知的控制方法也应用于工厂。最后,进行了非线性仿真,并对两个控制器进行了比较。获得的结果表明,应用所提出的技术成功克服了对电站压力进行鲁棒控制的障碍。

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