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Prediction based optimal control of a quadruple tank process

机译:基于预测的四缸工艺最优控制

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摘要

Industrial processes are nonlinear, multivariate, constrained and interactive in nature. To ensure stable operation of the process under these circumstances, a tight control action should be employed. Conventional controllers like PID provides simplicity in design and ease of access but fails to provide good control action for the process which are nonlinear and operating under heavy constraints. In this paper Model predictive controller has been designed for a bench mark quadruple tank process and its performance is compared with a PI controller. It is found that Model predictive controller provides satisfactory results when compared to PI controllers.
机译:工业过程本质上是非线性的,多元的,受约束的和交互的。为了在这种情况下确保过程的稳定运行,应采取严格的控制措施。像PID这样的常规控制器提供了设计简单性和易于访问性,但是无法为非线性且在严格约束下运行的过程提供良好的控制作用。在本文中,模型预测控制器已设计用于基准四缸工艺,其性能与PI控制器进行了比较。发现与PI控制器相比,模型预测控制器可提供令人满意的结果。

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