Fractional-Order Control of a Wind Turbine Using Manta Ray Foraging Optimization
作者机构:College of Engineering at Wadi AddawaserPrince Sattam Bin Abdulaziz UniversityAl-Kharj11911Saudi Arabia Department of Electrical EngineeringFaculty of EngineeringMinia University61517MiniaEgypt Research Laboratory in Automatic Control(LARA)National Engineering School of Tunis(ENIT)University of TunisTunis1002Tunisia High Institute of Industrial Systems of GabèsUniversity of GabèsGabès6011Tunisia
出 版 物:《Computers, Materials & Continua》 (计算机、材料和连续体(英文))
年 卷 期:2021年第68卷第7期
页 面:185-199页
核心收录:
学科分类:0808[工学-电气工程] 0809[工学-电子科学与技术(可授工学、理学学位)] 07[理学] 08[工学] 071102[理学-系统分析与集成] 0831[工学-生物医学工程(可授工学、理学、医学学位)] 0711[理学-系统科学] 0805[工学-材料科学与工程(可授工学、理学学位)] 081101[工学-控制理论与控制工程] 0701[理学-数学] 0811[工学-控制科学与工程] 0801[工学-力学(可授工学、理学学位)] 0812[工学-计算机科学与技术(可授工学、理学学位)] 081103[工学-系统工程]
主 题:Renewable energy modeling wind turbine doubly fed induction generator fractional order control manta ray foraging optimization
摘 要:In this research paper,an improved strategy to enhance the performance of the DC-link voltage loop regulation in a Doubly Fed Induction Generator(DFIG)based wind energy system has been *** proposed strategy used the robust Fractional-Order(FO)Proportional-Integral(PI)control *** FOPI control contains a non-integer order which is preferred over the integer-order control owing to its *** offers extra flexibility in design and demonstrates superior outcomes such as high robustness and *** optimal gains of the FOPI controller have been determined using a recent Manta Ray Foraging Optimization(MRFO)*** the optimization process,the FOPI controller’s parameters are assigned to be the decision variables whereas the objective function is the error racking that to be *** prove the superiority of the MRFO algorithm,an empirical comparison study with the homologous particle swarm optimization and genetic algorithm is *** obtained results proved the superiority of the introduced strategy in tracking and control performances against various conditions such as voltage dips and wind speed variation.