{"title":"基于anfiss的滞回比较器与智能双观测器和速度控制器的直接转矩控制","authors":"Chaymae Fahassa, M. Akherraz, Yassine Zahraoui","doi":"10.1504/ijpt.2020.10030328","DOIUrl":null,"url":null,"abstract":"This article presents the adaptive-network-based fuzzy inference system (ANFIS)-based direct torque control (DTC) for induction motor (IM). DTC is distinguished by merging a simple structure with a good dynamic behavior. Despite these cited advantages, some disadvantages are also present. For this aim, which consists of reducing the ripples in electromagnetic torque, flux and current; and to improve the IM response characteristics, the conventional hysteresis comparators of the torque, flux and the proportional integral (PI) speed controller are replaced by others based on ANFIS technique. Furthermore, an intelligent dual observer is implemented to achieve sensorless control; merging a Luenberger observer (LO) based on ANFIS to insure the adaptation mechanism in order to estimate the rotor speed, and a Kalman filter (KF) to insure the flux components estimation. The proposed sensorless ANFIS-DTC shows a robust performance; reduced ripples, decreased overshoots, short time of rising and settling, and high resistance to perturbations.","PeriodicalId":37550,"journal":{"name":"International Journal of Powertrains","volume":null,"pages":null},"PeriodicalIF":0.0000,"publicationDate":"2020-07-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"3","resultStr":"{\"title\":\"ANFIS-based hysteresis comparators with intelligent dual observer and speed controller of a direct torque control\",\"authors\":\"Chaymae Fahassa, M. Akherraz, Yassine Zahraoui\",\"doi\":\"10.1504/ijpt.2020.10030328\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"This article presents the adaptive-network-based fuzzy inference system (ANFIS)-based direct torque control (DTC) for induction motor (IM). DTC is distinguished by merging a simple structure with a good dynamic behavior. Despite these cited advantages, some disadvantages are also present. For this aim, which consists of reducing the ripples in electromagnetic torque, flux and current; and to improve the IM response characteristics, the conventional hysteresis comparators of the torque, flux and the proportional integral (PI) speed controller are replaced by others based on ANFIS technique. Furthermore, an intelligent dual observer is implemented to achieve sensorless control; merging a Luenberger observer (LO) based on ANFIS to insure the adaptation mechanism in order to estimate the rotor speed, and a Kalman filter (KF) to insure the flux components estimation. The proposed sensorless ANFIS-DTC shows a robust performance; reduced ripples, decreased overshoots, short time of rising and settling, and high resistance to perturbations.\",\"PeriodicalId\":37550,\"journal\":{\"name\":\"International Journal of Powertrains\",\"volume\":null,\"pages\":null},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2020-07-03\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"3\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"International Journal of Powertrains\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1504/ijpt.2020.10030328\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q3\",\"JCRName\":\"Engineering\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"International Journal of Powertrains","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1504/ijpt.2020.10030328","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q3","JCRName":"Engineering","Score":null,"Total":0}
ANFIS-based hysteresis comparators with intelligent dual observer and speed controller of a direct torque control
This article presents the adaptive-network-based fuzzy inference system (ANFIS)-based direct torque control (DTC) for induction motor (IM). DTC is distinguished by merging a simple structure with a good dynamic behavior. Despite these cited advantages, some disadvantages are also present. For this aim, which consists of reducing the ripples in electromagnetic torque, flux and current; and to improve the IM response characteristics, the conventional hysteresis comparators of the torque, flux and the proportional integral (PI) speed controller are replaced by others based on ANFIS technique. Furthermore, an intelligent dual observer is implemented to achieve sensorless control; merging a Luenberger observer (LO) based on ANFIS to insure the adaptation mechanism in order to estimate the rotor speed, and a Kalman filter (KF) to insure the flux components estimation. The proposed sensorless ANFIS-DTC shows a robust performance; reduced ripples, decreased overshoots, short time of rising and settling, and high resistance to perturbations.
期刊介绍:
IJPT addresses novel scientific/technological results contributing to advancing powertrain technology, from components/subsystems to system integration/controls. Focus is primarily but not exclusively on ground vehicle applications. IJPT''s perspective is largely inspired by the fact that many innovations in powertrain advancement are only possible due to synergies between mechanical design, mechanisms, mechatronics, controls, networking system integration, etc. The science behind these is characterised by physical phenomena across the range of physics (multiphysics) and scale of motion (multiscale) governing the behaviour of components/subsystems.