Deep Learning-Based FOPID Controller for Cascaded DC-DC Converters
作者机构:Department of EEEVel Tech Rangarajan Dr.Sagunthala R&D Institute of Science and TechnologyChennai600062India Department of EEER.M.K.Engineering CollegeKavaraipettaiChennai601206India
出 版 物:《Computer Systems Science & Engineering》 (计算机系统科学与工程(英文))
年 卷 期:2023年第46卷第8期
页 面:1503-1519页
核心收录:
学科分类:0710[理学-生物学] 0711[理学-系统科学] 080801[工学-电机与电器] 0808[工学-电气工程] 08[工学] 0714[理学-统计学(可授理学、经济学学位)] 0811[工学-控制科学与工程] 0812[工学-计算机科学与技术(可授工学、理学学位)]
主 题:Micro-grid deep learning archimedes optimization algorithm FOPID controller objective function
摘 要:Smart grids and their technologies transform the traditional electric grids to assure safe,secure,cost-effective,and reliable power ***-linear phenomena in power systems,such as voltage collapse and oscillatory phenomena,can be investigated by chaos ***,renewable energy resources,such as wind turbines,and solar photovoltaic(PV)arrays,have been widely used for electric power *** design of the controller for the direct Current(DC)converter in a PV system is performed based on the linearized model at an appropriate operating ***,these operating points are everchanging in a PV system,and the design of the controller is usually accomplished based on a low irradiance *** study designs a fractional-order proportional-integrated-derivative(FOPID)controller using deep learning(DL)with quasi-oppositional Archimedes Optimization algorithm(FOPID-QOAOA)for cascaded DC-DC converters in micro-grid *** presented FOPIDQOAOA model is designed to enhance the overall efficiency of the cascaded DC-DC boost *** addition,the proposed model develops a FOPID controller using a stacked sparse autoencoder(SSAE)model to regulate the converter output *** tune the hyper-parameters related to the SSAE model,the QOAOA is derived by the including of the quasi-oppositional based learning(QOBL)with traditional ***,an objective function with the including of the integral of time multiplied by squared error(ITSE)is considered in this *** validating the efficiency of the FOPID-QOAOA method,a sequence of simulations was performed under distinct aspects.A comparative study on cascaded buck and boost converters is carried out to authenticate the effectiveness and performance of the designed techniques.