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

Q3 Engineering
Chaymae Fahassa, M. Akherraz, Yassine Zahraoui
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引用次数: 3

摘要

提出了一种基于自适应网络模糊推理系统(ANFIS)的异步电动机直接转矩控制方法。DTC的特点是将简单的结构与良好的动力性能相结合。尽管有这些优点,但也存在一些缺点。为了达到这个目的,它包括减少电磁转矩、磁通和电流的波动;为了改善IM的响应特性,采用基于ANFIS技术取代了传统的转矩、磁链和比例积分(PI)速度控制器的滞回比较器。采用智能双观测器实现无传感器控制;将基于ANFIS的Luenberger观测器(LO)和卡尔曼滤波器(KF)合并,以确保转子转速估计的自适应机制,并确保磁链分量的估计。所提出的无传感器anfi - dtc具有良好的鲁棒性;减少波纹,减少超调,短时间上升和沉降,和高阻力扰动。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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.
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来源期刊
International Journal of Powertrains
International Journal of Powertrains Engineering-Automotive Engineering
CiteScore
1.20
自引率
0.00%
发文量
25
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.
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