{"title":"Design of a Sensorless Rotor Flux Oriented Vector Control Technique Based on MRAS Speed Observer for an Induction Machine","authors":"Rakia Tarkhani, Saber Krim, M. Mimouni","doi":"10.1109/IC_ASET58101.2023.10151242","DOIUrl":null,"url":null,"abstract":"This paper proposes a design and hardware implementation with a Field Programmable Gate Array (FPGA) of a Sensorless Rotor Flux Oriented Vector Control (SRFOVC) strategy based on a Model Reference Adaptive System (MRAS) observer for an induction motor drive fed by a voltage source inverter. The MRAS observer is suggested for real-time estimation of the rotor speed. Indeed, the first goal of this work is to provide an MRAS speed observer in order to increase the control system reliability, reduce the maintenance rate and the control system cost. The second goal consists of implementing the suggested SRFOVC-MRAS algorithm on an FPGA board. Actually, the FPGA board is chosen for reducing the system sampling period, taking the hardware FPGA advantages in terms of parallel processing. The model of the suggested SRFOVC-MRAS is designed and simulated with the Xilinx system generator tool in a Matlab/Simulink environment and implemented on a Xilinx FPGA-Zynq 7000-board.","PeriodicalId":272261,"journal":{"name":"2023 IEEE International Conference on Advanced Systems and Emergent Technologies (IC_ASET)","volume":"21 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2023-04-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2023 IEEE International Conference on Advanced Systems and Emergent Technologies (IC_ASET)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/IC_ASET58101.2023.10151242","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0
Abstract
This paper proposes a design and hardware implementation with a Field Programmable Gate Array (FPGA) of a Sensorless Rotor Flux Oriented Vector Control (SRFOVC) strategy based on a Model Reference Adaptive System (MRAS) observer for an induction motor drive fed by a voltage source inverter. The MRAS observer is suggested for real-time estimation of the rotor speed. Indeed, the first goal of this work is to provide an MRAS speed observer in order to increase the control system reliability, reduce the maintenance rate and the control system cost. The second goal consists of implementing the suggested SRFOVC-MRAS algorithm on an FPGA board. Actually, the FPGA board is chosen for reducing the system sampling period, taking the hardware FPGA advantages in terms of parallel processing. The model of the suggested SRFOVC-MRAS is designed and simulated with the Xilinx system generator tool in a Matlab/Simulink environment and implemented on a Xilinx FPGA-Zynq 7000-board.