{"title":"Non-linear Synergetic Funnel Control of wind turbine","authors":"Zaina Ait-Chekdhidh , Aghiles Ardjal , Maamar Bettayeb","doi":"10.1016/j.compeleceng.2025.110324","DOIUrl":null,"url":null,"abstract":"<div><div>This research proposes two new methods that combine Funnel Control (FC) and Synergetic Control (Snc) to improve the performance and stability of wind energy systems. These techniques aim to achieve precise control objectives, such as accurate trajectory tracking with prescribed transient accuracy, by merging the inherent properties of FC and Snc. The novelty lies in the innovative integration of FC with Snc, addressing key challenges like transient load mitigation and precise trajectory tracking, which are not fully resolved by conventional methods. The key innovation is the introduction of a new macro-variable for Snc, inspired by FC principles and PI controllers, providing enhanced adaptability and robustness. The proposed methods are applied to a wind turbine using MATLAB/Simulink simulations. Key performance indicators, including relative error, rise time, settling time, and control effort, are evaluated and compared. The proposed controllers, FC-Snc and FC Nonlinear-Snc, outperform existing methods, reducing tracking errors and achieving faster convergence. Simulation results demonstrate their superior tracking accuracy, noise resistance, and disturbance rejection. Additionally, the analysis of power coefficient behavior and control input dynamics highlights the operational efficiency and transient load mitigation of the proposed controllers. This study showcases the effectiveness of FC-Snc and FC Nonlinear-Snc in enhancing wind energy system performance.</div></div>","PeriodicalId":50630,"journal":{"name":"Computers & Electrical Engineering","volume":"124 ","pages":"Article 110324"},"PeriodicalIF":4.0000,"publicationDate":"2025-04-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Computers & Electrical Engineering","FirstCategoryId":"94","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S0045790625002678","RegionNum":3,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"COMPUTER SCIENCE, HARDWARE & ARCHITECTURE","Score":null,"Total":0}
引用次数: 0
Abstract
This research proposes two new methods that combine Funnel Control (FC) and Synergetic Control (Snc) to improve the performance and stability of wind energy systems. These techniques aim to achieve precise control objectives, such as accurate trajectory tracking with prescribed transient accuracy, by merging the inherent properties of FC and Snc. The novelty lies in the innovative integration of FC with Snc, addressing key challenges like transient load mitigation and precise trajectory tracking, which are not fully resolved by conventional methods. The key innovation is the introduction of a new macro-variable for Snc, inspired by FC principles and PI controllers, providing enhanced adaptability and robustness. The proposed methods are applied to a wind turbine using MATLAB/Simulink simulations. Key performance indicators, including relative error, rise time, settling time, and control effort, are evaluated and compared. The proposed controllers, FC-Snc and FC Nonlinear-Snc, outperform existing methods, reducing tracking errors and achieving faster convergence. Simulation results demonstrate their superior tracking accuracy, noise resistance, and disturbance rejection. Additionally, the analysis of power coefficient behavior and control input dynamics highlights the operational efficiency and transient load mitigation of the proposed controllers. This study showcases the effectiveness of FC-Snc and FC Nonlinear-Snc in enhancing wind energy system performance.
期刊介绍:
The impact of computers has nowhere been more revolutionary than in electrical engineering. The design, analysis, and operation of electrical and electronic systems are now dominated by computers, a transformation that has been motivated by the natural ease of interface between computers and electrical systems, and the promise of spectacular improvements in speed and efficiency.
Published since 1973, Computers & Electrical Engineering provides rapid publication of topical research into the integration of computer technology and computational techniques with electrical and electronic systems. The journal publishes papers featuring novel implementations of computers and computational techniques in areas like signal and image processing, high-performance computing, parallel processing, and communications. Special attention will be paid to papers describing innovative architectures, algorithms, and software tools.