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首页> 外文期刊>Chemical Engineering Research & Design: Transactions of the Institution of Chemical Engineers >Design of a fuzzy logic controller for regulating the temperature in industrial polyethylene fluidized bed reactor
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Design of a fuzzy logic controller for regulating the temperature in industrial polyethylene fluidized bed reactor

机译:工业聚乙烯流化床反应器温度调节的模糊逻辑控制器设计

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Proportional integral (PI) controllers are the most commonly used controllers in industrial applications because they are relatively easy to design, have simple control structure and inexpensive cost. However, they exhibit poor performance when exposed to unknown disturbances Such as dead zones. A successful way of dealing with such non-linearity is to use fuzzy logic, which features an improvement in the transient characteristic of the control performance. On the other hand, it is very difficult to establish a systematic design method for fuzzy control since it is non-linear and as such, has no mathematical design method to fall back on. Due to the superior performance of fuzzy control in transient state and high accuracy of PI control in the steady state, a combination between the two would present a very attractive solution. Fuzzy logic controllers based on the Takagi-Sugeno inference method has been applied for the regulation of the reaction temperature of the industrial bubbling fluidized bed reactors for polyethylene production. The simulation results suggest that the conventional fuzzy logic controller produces oscillations in the process response. To improve the performance of the conventional scheme, implementation of a hybrid control scheme is proposed. Significant improvements in the controller performance could be achieved by combining these approaches. The hybrid control scheme reduces the severe oscillations of the conventional method and enhances control precision. Comparison between Mamdani fuzzy logic and Takagi-Sugeno type fuzzy controller has been explored. Results reveal that Mamdani fuzzy logic is very easy to build, by contrast, it is too simple to control the process quickly and only suited to the long delay system. Takagi-Sugeno controller is ideal for acting as multiple linear controllers to operate dynamic non-linear systems that mean it can be used to control the process that changes very quickly and has high frequent input signals.
机译:比例积分(PI)控制器是工业应用中最常用的控制器,因为它们相对容易设计,具有简单的控制结构和廉价的成本。但是,当暴露于未知干扰(例如死区)时,它们的性能较差。解决此类非线性问题的一种成功方法是使用模糊逻辑,该模糊逻辑的特点是改善了控制性能的瞬态特性。另一方面,建立模糊控制的系统设计方法非常困难,因为它是非线性的,因此没有数学设计方法可以依靠。由于瞬态模糊控制的卓越性能和稳态PI控制的高精度,将两者结合起来将是一个非常有吸引力的解决方案。基于Takagi-Sugeno推理方法的模糊逻辑控制器已用于调节聚乙烯生产工业鼓泡流化床反应器的反应温度。仿真结果表明,传统的模糊逻辑控制器在过程响应中产生振荡。为了提高传统方案的性能,提出了一种混合控制方案的实现。通过组合这些方法,可以实现控制器性能的显着改善。混合控制方案减少了传统方法的剧烈振荡,并提高了控制精度。对Mamdani模糊逻辑与Takagi-Sugeno型模糊控制器进行了比较。结果表明,Mamdani模糊逻辑非常易于构建,相反,快速控制过程过于简单,仅适用于长延迟系统。 Takagi-Sugeno控制器非常适合作为多个线性控制器来操作动态非线性系统,这意味着它可用于控制变化非常迅速且输入信号频率很高的过程。

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