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Performance comparison between IOPID and FOPID controllers in an industrial flow pilot plant

机译:Iopid和Fopid控制器在工业流动试验厂的性能比较

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This paper presents a performance comparison between Integer Order PID IOPID and Fractional Order PID FOPID controllers in an industrial pilot plant. Most processes use the IOPID to control process variables (PV) and due to its robustness and ease of implementation, it has been applied in the industry for many years. This controller has three parameters to tune: Proportional GainKC, Integral Gain (KI) or Integral Time (TI) and Derivative Gain (KD) or Derivative Time (TD). But for FOPID, two more parameters are used to tune, called fractional factorsλandμ, belonging to the terms of the IntegrativeKIand DerivativeKDgains, respectively. An interesting fact is that for over twenty years of exploitation of fractional drivers, they brought improvements in relation to IOPID, both in the regulatory and in the servo mode, steady state error (ess) practically null and robustness to the changes of process conditions. For tuning the Fractional PI controller (FOPI) the Bhaskaran method was used and for the FOPID the Fractional-order Modeling and Control (FOMCON) toolbox of MATLAB was applied. These results were verified in the tests carried out at the Flow Pilot Plant of the Industrial Control Processes Laboratory (ICPL). The FOPID presented in this paper, applied to a real industrial plant is pioneering and innovative.
机译:本文介绍了工业试验厂中整数PID IOPID和分数级PID FOPID控制器的性能比较。大多数过程使用Iopid来控制过程变量(PV),并且由于其鲁棒性和易于实施,它已在业内应用多年。该控制器具有三个参数来调整:比例增益,积分增益(ki)或积分时间(ti)和导数增益(kd)或衍生时间(td)。但对于FoPID,两个参数用于调整,称为分数因素λAndμ,分别属于整合基衍生衍生物的术语。一个有趣的事实是,超过二十年的分数司机开发,它们在监管和伺服模式下,稳态误差(ESS)几乎与工艺条件的变化有关,稳定状态误差(ESS)与Iopid相关的改进。为了调整分数PI控制器(FoPI)使用Bhaskaran方法,用于FOPID,应用MATLAB的分数阶建模和控制(FOMCON)工具箱。这些结果在工业控制过程实验室(ICPL)的流动试验工厂进行的测试中验证。本文介绍的Fopid应用于真正的工业厂是开拓和创新的。

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