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Design and implementation of an advanced controller in plant distributed control system for improving control of non-linear belt weigh feeder

机译:用于改善非线性皮带控制控制的工厂分布式控制系统中先进控制器的设计与实现

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摘要

A Belt Weigh Feeder (BWF) is a flat belt conveyor designed for feeding bulk material into a chemical process in a controlled fashion for better process control. The dynamic weight of bulk material is measured with a belt weigh bridge and the belt speed is controlled to compensate for any variation in the weight so that the mass feed rate is maintained as per the set feed rate. The problem of belt speed control is challenging as the dynamic response of system is non-linear and there are frequent changes in belt load due to variation in bulk material characteristics. The control accuracy of belt weigh feeder is fully dependent on the controller's performance in providing precise control of speed of motor/belt. Any delay in achieving the set feed rate or frequent deviation between set and actual feed rate affects the quality and efficiency of downstream process. Conventional PI controller is unable to provide optimum control due to system non-linearity. To overcome this problem, in this paper first the operating data of the BWF system is analysed and the nature and cause for the nonlinearity is investigated. The system is then modelled using the design parameters of plant belt weigh feeder, which is then simulated to have a better insight into its non-linear response. Subsequently, based on simulation results, a PI Fuzzy Logic (PI-FL) controller is designed to improve the control accuracy of the system. Further, to ensure the stability of the system, an adaptive controller is introduced in cascade to fine tune the gains of PI-FL controller as per the operating speed of the BWF. Finally, an advanced PI-FL with cascade adaptive controller is implemented in the plant DCS (microprocessor based process control system). The actual test results indicate reduction in the Integral of Absolute Error (IAE) of the system by about 34% using this controller. (C) 2018 Elsevier Ltd. All rights reserved.
机译:皮带称重送料器(BWF)是一个平坦的带式输送机,用于以受控的方式将散装材料送入化学过程中,以便更好的过程控制。用带式称重桥测量散装材料的动态重量,控制带速度以补偿重物的任何变化,从而根据设定的进给速率保持质量送速速率。随着系统的动态响应是非线性的,皮带速度控制的问题是具有挑战性的,并且由于散装材料特性的变化,皮带负荷频繁变化。皮带送料器的控制精度完全取决于控制器的性能,以确切控制电动机/皮带速度。在实现设定的进料速率或设定之间的频繁偏差和实际进料速率的任何延迟都会影响下游过程的质量和效率。传统的PI控制器由于系统非线性而无法提供最佳控制。为了克服这个问题,在本文中首先分析了BWF系统的操作数据,并研究了非线性的性质和原因。然后使用植物带称重进料器的设计参数建模系统,然后模拟其更好地了解其非线性响应。随后,基于仿真结果,设计了一种PI模糊逻辑(PI-FL)控制器以提高系统的控制精度。此外,为了确保系统的稳定性,根据BWF的操作速度,在级联中引入自适应控制器以微调PI-FL控制器的增益。最后,在工厂DC(基于微处理器的过程控制系统)中实现了具有级联自适应控制器的高级PI-FL。实际测试结果表明使用该控制器的系统的绝对误差(IAE)的积分减少了约34%。 (c)2018年elestvier有限公司保留所有权利。

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