Control of a Wind Turbine Working in the Intermediate Velocity Zone: A Model Free Discrete Time Approach

IF 2.5 3区 计算机科学 Q2 AUTOMATION & CONTROL SYSTEMS International Journal of Control Automation and Systems Pub Date : 2024-09-02 DOI:10.1007/s12555-023-0348-0
Maria Letizia Corradini, Gianluca Ippoliti, Giuseppe Orlando
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Abstract

In this paper, a novel data-driven control algorithm based on model-free adaptive control is presented, addressing general discrete-time single-input single-output nonlinear systems, approximated by an equivalent dynamic linearization model using pseudo-partial derivatives. The closed loop stability is proved, showing that the tracking error asymptotically vanishes. Moreover, the proposed approach has been applied to a 5 MW wind turbine, considering as control target the efficiency optimization issue when the turbine operates under medium wind speed conditions. Validation of the technique has been performed, testing the overall control system by simulation using the tool FAST developed by the National Renewable Energy Laboratory (NREL).

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控制在中速区工作的风力涡轮机:无模型离散时间方法
本文提出了一种基于无模型自适应控制的新型数据驱动控制算法,用于处理一般离散时间单输入单输出非线性系统,该系统通过使用伪偏导的等效动态线性化模型进行近似。证明了闭环稳定性,表明跟踪误差渐近消失。此外,建议的方法还应用于 5 兆瓦风力涡轮机,将涡轮机在中等风速条件下运行时的效率优化问题作为控制目标。通过使用美国国家可再生能源实验室(NREL)开发的工具 FAST 进行模拟,对整个控制系统进行了测试,从而对该技术进行了验证。
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来源期刊
International Journal of Control Automation and Systems
International Journal of Control Automation and Systems 工程技术-自动化与控制系统
CiteScore
5.80
自引率
21.90%
发文量
343
审稿时长
8.7 months
期刊介绍: International Journal of Control, Automation and Systems is a joint publication of the Institute of Control, Robotics and Systems (ICROS) and the Korean Institute of Electrical Engineers (KIEE). The journal covers three closly-related research areas including control, automation, and systems. The technical areas include Control Theory Control Applications Robotics and Automation Intelligent and Information Systems The Journal addresses research areas focused on control, automation, and systems in electrical, mechanical, aerospace, chemical, and industrial engineering in order to create a strong synergy effect throughout the interdisciplinary research areas.
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