نتایج جستجو برای: speed tracking

تعداد نتایج: 314455  

This paper describes the robust optimal incremental motion control of a current  sensorless synchronous reluctance motor (SynRM), which can be specified by any desired speed profile. The control scheme is a combination of conventional linear quadratic (LQ) feedback control method and sliding mode control (SMC). A novel sliding switching surface is employed first, that makes the states of the Sy...

2013
Tao Tao Xu Hongze

This paper studies on a fuzzy predictive model based high speed train fault tolerant control method, which is very important for high speed train’s high-precision control. After analyzing related research works about fault tolerant control and the development of modern high speed train, design of the high speed train fault tolerant control system is given. Afterwards, the high speed train fault...

Hossein Abootorabi Zarchi, Jafar Soltanii

In this paper, the design and implementation of adaptive speed controller for a sensorless synchronous reluctance motor (SynRM) drive system is proposed. A combination of well-known adaptive input-output feedback linearization (AIOFL) and adaptive backstepping (ABS) techniques are used for speed tracking control of SynRM. The AIOFL controller is capable of estimating motor two-axis inductances ...

Journal: :TRANSACTIONS OF THE JAPAN SOCIETY OF MECHANICAL ENGINEERS Series C 1991

Journal: :Journal of the Visualization Society of Japan 1990

Journal: :Automatica 1996
Romeo Ortega Per Johan Nicklasson Gerardo Espinosa-Pérez

In a recent paper 3] Espinosa and Ortega presented an output feedback globally stable speed tracking controller for induction motors. An important feature of the scheme is that it does not require state observers, thus reducing the computational burden, a critical limiting factor in physical implementations. The performance of the scheme is limited by the fact that the convergence rate of the s...

Journal: :The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences 2020

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