نتایج جستجو برای: sensorless

تعداد نتایج: 1999  

2012
Liming Gong

ACKNOWLEDGEMENTS CONTENTS LIST OF SYMBOLS LIST OF ABBREVIATIONS CHAPTER 1 1 SENSORLESS CONTROL OF PERMANENT MAGNET BRUSHLESS AC MACHINES 1.

2017
Mongi Moujahed Hechmi Ben azza Mohamed Jemli Mohamed Boussak

This paper aims to provide a high performance sensorless control based on an Extended Kalman Filter (EKF) applied to fault-tolerant PMSM drive system with statorresistance estimation. It proposes a fast method of fault switches detection in the power converters. The considered drive is composed of three phases PMSM and a four leg three phase’s inverter when the fourth is the redundant leg. Afte...

2016
Supharat Suthep Yankai Wang Muneaki Ishida Naoki Yamamura Kazuhiro Yubai Satoshi Komada

This study proposes a novel frame anti-vibration controller for position sensorless PMSM drive application. This controller is called specific component reduction controller (SCRC). SCRC can function without an accelerometer and can achieve speed variable control. This study mainly comprises the following phases. First, the position sensorless control method will be provided. Second, the frame ...

2009
ELEONORA DARIE EMANUEL DARIE

This work analyzes the advantages of Artificial Neural Networks applied to sensorless control for Switched Reluctance Motors. Due to the non-linear electrical characteristics of Switched Reluctance Motors, Artificial Neural Networks perform a good tool and for torque ripple minimization in Switched Reluctance Motors. The simulation results to prove the efficiency of a multilayer perceptron in o...

2009
S. Sedghizadeh H. Ghafoori Fard

An adaptive online flux-linkage estimation method for the sensorless control of switched reluctance motor (SRM) drive is presented in this paper. Sensorless operation is achieved through a binary observer based algorithm. In order to avoid using the look up tables of motor characteristics, which makes the system, depends on motor parameters, an adaptive identification algorithm is used to estim...

2013
A. Bennassar A. Abbou M. Akherraz M. Barara

In this paper, we propose a sensorless backstepping control of induction motor (IM) associated with three levels neutral clamped (NPC) inverter. First, the backstepping approach is designed to steer the flux and speed variables to theirs references and to compensate the uncertainties. A Lyapunov theory is used and it demonstrates that the dynamic trajectories tracking are asymptotically stable....

2015
Krishnanand N. Kaipa Nithyananda B. Kumbla Satyandra K. Gupta

In this paper, we characterize the performance of sensorless fine positioning moves in the presence of initial position uncertainty of a part being grasped by a robot. More importantly, we are interested in approaches that work for low-cost robots which provide coarse positional accuracies. Accordingly, we also characterize how the parameters used by the robot’s motion planner influence the ove...

2017
D. Fodor

The paper shows the design of a robust control structure for the speed sensorless vector control of the IM, based on the mixed sensitivity linear parameter variant (LPV) H∞ theory. The controller makes possible the direct control of the flux and speed of the motor with torque adaptation in noisy environment. The whole control system is tested by intensive simulations and according to the result...

1997
Srinivas Akella Wesley H. Huang Kevin M. Lynch Matthew T. Mason

This paper explores a sensorless technique for orienting planar parts. We follow an approach described in earlier papers [3, 4] called 1JOC for One Joint Over Conveyor, which can perform planar manipulation using a single controlled joint in combination with a constant-velocity conveyor. Our previous work demonstrated that the 1JOC approach can orient and feed planar polygonal parts, given a si...

2013
M. Cirrincione G. Cirrincione M. Pucci G. Vitale

This contribution wants to show some recent applications of neural networks in the field of power electronics, with particular emphasis on the sensorless control of AC drives and examines improvements that can be attained when using linear neural networks. At first it presents some theoretical aspects of linear neural networks, particularly the TLS EXIN neuron. Then it describes some original a...

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