Motor Parameters (motor + parameter)

Distribution by Scientific Domains


Selected Abstracts


Speed estimation of induction motor drive using d -axis slot harmonics and parameter identification method

ELECTRICAL ENGINEERING IN JAPAN, Issue 2 2010
Toshihiko Noguchi
Abstract This paper describes a rotor speed estimation technique of an induction motor, which utlizes slot harmonics on the d -axis caused by permeance variation across the air gap. The frequency of the slot harmonics is a multiple of the actual rotor speed, and is proportional to the number of rotor slots. In order to extract the slot harmonics, a novel adaptive bandpass filter incorporating coordinate transformation is proposed, which is effective to estimate the rotor speed from 400 to 2000 rpm. This rotor speed estimation is applied to a field-oriented controller as well as a speed controller. In addition, performance improvement is carried out by compensating a motor parameter mismatch. Feasibility of the proposed technique is confirmed through several tests, using a prototype experimental setup. © 2010 Wiley Periodicals, Inc. Electr Eng Jpn, 171(2): 50,58, 2010; Published online in Wiley InterScience (www. interscience.wiley.com). DOI 10.1002/eej.20901 [source]


Substantia nigra pars reticulata neurons code initiation of a serial pattern: implications for natural action sequences and sequential disorders

EUROPEAN JOURNAL OF NEUROSCIENCE, Issue 8 2002
Melanie Meyer-Luehmann
Abstract Sequences of movements are initiated abnormally in neurological disorders involving basal ganglia dysfunction, such as Parkinson's disease or Tourette's syndrome. The substantia nigra pars reticulata (SNpr) is one of the two primary output structures of the basal ganglia. However, little is known about how substantia nigra mediates the initiation of normal movement sequences. We studied its role in coding initiation of a sequentially stereotyped but natural movement sequence by recording neuronal activity in SNpr during behavioural performance of ,syntactic grooming chains'. These are rule-governed sequences of up to 25 grooming movements emitted in four predictable (syntactic) phases, which occur spontaneously during grooming behaviour by rats and other rodents. Our results show that neuronal activation in central SNpr codes the onset of this entire rule-governed sequential pattern of grooming actions, not elemental grooming movements. We conclude that the context of sequential pattern may be more important than the elemental motor parameters in determining SNpr neuronal activation. [source]


Tuning and parameter variation effects in MRAS based speed estimator for sensorless vector controlled induction motor drives

EUROPEAN TRANSACTIONS ON ELECTRICAL POWER, Issue 3 2002
M. Wang
A frequently applied method of speed-sensorless rotor flux oriented control of induction machines relies on utilisation of model reference adaptive system (MRAS) based speed estimation, where the outputs of the reference and the adjustable model are selected as rotor flux space phasors. Accuracy of the method heavily depends on correct setting of the machine parameters and adjustment of the filter and Pl controller parameters within the estimator. The paper at first describes tuning of various parameters of the estimator, using purely experimental data. The speed estimator is operated in parallel with a commercially available rotor flux oriented induction motor drive with speed sensor and sampled stator voltages and currents are used to tune induction motor parameters, various filters and the Pl controller within the estimator. The procedure is described and illustrated using a comparison between the measured actual speed response during acceleration transients and the corresponding speed estimate obtained from the speed estimator. In the second part of the paper, speed estimation error that will take place in the base speed region due to incorrect setting and/or variation of the parameters of the machine (stator resistance, rotor resistance and magnetising inductance) within the speed estimator is assessed using experimentally recorded data. The experimental results are found to be in very good agreement with previously published theoretical results. [source]


Self-tuning control of electrical machines using gradient descent optimization

OPTIMAL CONTROL APPLICATIONS AND METHODS, Issue 2 2007
Ziqian LiuArticle first published online: 28 DEC 200
Abstract This paper presents a new approach toward the design of a self-tuning proportional-integral (PI) control for induction motors. By using the method of gradient descent optimization to the parameter space, the controller gains developed in this study are adjusted automatically online. Therefore, the proposed PI control is robust to the changes of induction motor parameters and achieves the performance of global asymptotic speed tracking. Theoretical analysis and simulation results are presented to show the effectiveness of the approach. Copyright © 2006 John Wiley & Sons, Ltd. [source]