双罐中试装置的鲁棒演化控制

G. Andonovski, B. Costa
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引用次数: 1

摘要

本文提出了一种鲁棒进化控制器RECCo在双罐中试装置中的实际实现。RECCo算法是一种模糊PID类型的控制器,以在线方式自适应的空参数开始。控制器的模糊云结构也随着接收到的第一个数据点初始化,并随着时间的推移而演变。该算法还通过引入积分饱和保护(防上卷)进行了改进,这是此类过程所必需的。在一个实际的双罐中试装置上测试了控制器的有效性。该过程通过OLE for process Control (OPC)通信协议代表了一个真实的工业环境。结果表明,该算法能够使用设计参数的默认值来控制对象。
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Robust evolving control of a two-tanks pilot plant
This paper presents a practical implementation of the robust evolving controller RECCo for a two-tank pilot plant. The RECCo algorithm is a fuzzy PID type of controller and starts with empty parameters which are adapted in an online manner. Also the fuzzy cloud-based structure of the controller is initialized with the first data point received and evolves during time. The algorithm was additionally improved with introducing a protection of integral saturation (anti windup), which was necessary for this type of process. A real two-tank pilot plant was used to test the effectiveness of the controller. The process represents a real industrial environment through the OLE for Process Control (OPC) communication protocol. It has been demonstrated that the algorithm is capable of controlling the plant using the default values of the design parameters.
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Robust Evolving Cloud-based Controller (RECCo) Autonomous anomaly detection Autonomous learning multi-model classifier of 0-Order (ALMMo-0) Granular evolving fuzzy robust feedback linearization Evolving Cauchy possibilistic clustering based on cosine similarity for monitoring cyber systems
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