文章基本信息

标题：Adaptive Fuzzy Feedforward-Feedback Controller Applied to Level Control in an Experimental Prototype
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作者：Felipe Matheus Mota Sousa ; Vitória Matos Barbosa Amarante ; Rodolpho Rodrigues Fonseca 等
期刊名称：IFAC PapersOnLine
印刷版ISSN：2405-8963
出版年度：2019
卷号：52
期号：1
页码：219-224
DOI：10.1016/j.ifacol.2019.06.065
语种：English
出版社：Elsevier
摘要：AbstractLoads are one of the most common disturbances sources experienced in chemical processes, causing deterioration of control performance and even affecting product quality. If such inputs are measurable, implementing a feedforward controller can improve significantly the control performance, reducing the deviation of the process variable (PV). Nevertheless its effectiveness is highly dependent on satisfactory identification of process and disturbance models, task that is time consuming and quite difficult especially when they are non-linear. To cope with such situation, it is usual to deploy of adaptive techniques capable of handling non-linearity and enhance the control performance. For such matter, it was implemented an adaptive fuzzy strategy able to correlate process and disturbance parameters according to PV value in a feedforward-feedback level control loop applied to an experimental prototype. The fuzzy strategy was used to adapt the lead-lag compensator parameters and it required fewer experiments than others techniques to adjust the parameters, showing a considerable performance improvement. The performances of classical feedback (FB) and feedforward-feedback (FFFB) control strategies were compared to the proposed adaptive fuzzy feedforward-feedback (A4FB) control loop under different servo and regulatory control situations. It was showed that A4FB increased the disturbance rejection in comparison to others control loops evaluated and, combined with its relatively simple implementation, it is an advantageous control loop for practical purposes.
关键词：KeywordsAdaptive controlFeedforward compensationFuzzyLevel controlNon-linear process control