A simple on-line method for rotor resistance updating in indirect rotor flux orientation

2003 ◽  
Author(s):  
A. Ba-Razzouk ◽  
P. Sicard ◽  
V. Rajagopalan
Keyword(s):  
Line Method ◽  
Rotor Resistance ◽  
Rotor Flux ◽  
On Line

scholarly journals Rotor flux oriented control of induction machine based drives with compensation for the variation of all machine parameters

2013 ◽  
Vol 61 (2) ◽  
pp. 309-324 ◽  
Author(s):  
G. Extremiana ◽  
G. Abad ◽  
J. Arza ◽  
J. Chivite-Zabalza ◽  
I. Torre
Keyword(s):  
Dynamic Performance ◽  
Estimation Algorithm ◽  
Model Parameters ◽  
Electrical Machine ◽  
Saturation Curve ◽  
Machine Model ◽  
Rotor Resistance ◽  
Iron Losses ◽  
Rotor Flux ◽  
On Line

Abstract The performance of rotor flux oriented induction motor drives, widely used these days, relies on the accurate knowledge of key machine parameters. In most industrial drives, the rotor resistance, subject to temperature variations, is estimated on-line due to its significant influence on the control behaviour. However, the rest of the model parameters are also subject to slow variations, determined mainly by the operating point of the machine, compromising the dynamic performance and the accuracy of the torque estimation. This paper presents an improved rotor-resistance on-line estimation algorithm that contemplates the iron losses of the electrical machine, the iron saturation curve and the mechanical losses. In addition, the control also compensates the rest of the key machine parameters such as the leakage and magnetizing inductances and the iron losses. These parameters are measured by an off-line estimation procedure and stored in look up-tables used by the control. The paper begins by presenting the machine model and the proposed rotor flux oriented control strategy. Subsequently, the off-line parameter measurement procedure is described. Finally, the algorithm is extensively evaluated and validated experimentally on a 15 kW test bench

scholarly journals Robust linear parameter varying induction motor control with polytopic models

2013 ◽  
Vol 10 (2) ◽  
pp. 335-348 ◽  
Author(s):  
Khamari Dalila ◽  
Makouf Abdessalem ◽  
Drid Said ◽  
Larbi Chrifi-Alaoui
Keyword(s):  
Induction Motor ◽  
Feedback Controller ◽  
Linear Matrix ◽  
Linear Parameter ◽  
Linear Parameter Varying ◽  
Flux Observer ◽  
Rotor Resistance ◽  
Rotor Flux ◽  
On Line ◽  
Parameter Varying

This paper deals with a robust controller for an induction motor which is represented as a linear parameter varying systems. To do so linear matrix inequality (LMI) based approach and robust Lyapunov feedback controller are associated. This new approach is related to the fact that the synthesis of a linear parameter varying (LPV) feedback controller for the inner loop take into account rotor resistance and mechanical speed as varying parameter. An LPV flux observer is also synthesized to estimate rotor flux providing reference to cited above regulator. The induction motor is described as a polytopic model because of speed and rotor resistance affine dependence their values can be estimated on line during systems operations. The simulation results are presented to confirm the effectiveness of the proposed approach where robustness stability and high performances have been achieved over the entire operating range of the induction motor.

scholarly journals A rapid on-line method for mass spectrometric confirmation of a cysteine-conjugated antibody-drug-conjugate structure using multidimensional chromatography

mAbs ◽  
2015 ◽  
Vol 7 (6) ◽  
pp. 1036-1044 ◽  
Author(s):  
Robert E Birdsall ◽  
Henry Shion ◽  
Frank W Kotch ◽  
April Xu ◽  
Thomas J Porter ◽  
...  
Keyword(s):  
Mass Spectrometric ◽  
Antibody Drug Conjugate ◽  
Multidimensional Chromatography ◽  
Drug Conjugate ◽  
Line Method ◽  
On Line ◽  
Antibody Drug

scholarly journals The full-order state observer speed-sensorless vector control based on parameters identification for induction motor

2019 ◽  
Vol 52 (3-4) ◽  
pp. 202-211 ◽  
Author(s):  
Bo Fan ◽  
Zhumu Fu ◽  
Leipo Liu ◽  
Jiangtao Fu
Keyword(s):  
Vector Control ◽  
Adaptive System ◽  
Control Method ◽  
Reference Model ◽  
Speed Sensorless ◽  
Sensorless Vector Control ◽  
Model Reference Adaptive System ◽  
Rotor Resistance ◽  
Rotor Flux ◽  
Model Reference Adaptive

During the operation of speed-sensorless control system for induction motor, the stator and rotor resistance varies greatly with the change of temperature and the frequency of the rotor side, which affects the estimation of the stator flux and leads to the low accuracy of the speed estimation. A speed-sensorless vector control method based on parameters identification with the full-order adaptive state observer is proposed in this paper. In the model reference adaptive system of AC motor, the stator resistance and rotor flux are assigned as state variables to build the reference model, and a full-order flux observer is introduced to adjustable model. Lyapunov theory and Popov superstability theory are used to deduce the speed and rotor resistance adaptive rate. The feedback gain matrix is simplified to speed up the convergence rate of the system. The estimation values of speed and rotor resistance are taken as the proportional integral form, so that an interactive model reference adaptive system is constructed by speed and rotor resistance identification. While observing the rotor flux, it can not only ensure the accuracy of the reference model but also eliminate the disadvantages of the voltage model with integral terms, and the rotor speed can be estimated at the same time. The experimental results show that the accurate performance of speed and flux identification can meet the requirements of application; the proposed control method with the identification of speed and rotor resistance has little fluctuations phenomenon on motor torque in low speed and achieves better performance.

Electronic vs. Conventional Surveys

2007 ◽  
pp. 104-111 ◽  
Author(s):  
R. Dixon
Keyword(s):  
Data Collection ◽  
Response Rates ◽  
Data Collection Methods ◽  
Line Method ◽  
On Line ◽  
Paper Survey ◽  
Collection Methods

This paper discusses the outcomes of two data collection methods involving questionnaires distributed to members of an organization. One group received a paper survey through the post whilst the second group was asked to complete the survey on-line. The results indicated that although response rates were higher for the on-line group there were no significant differences in the responses of the two groups. These results suggest that for targeted groups of the type involved in this study, either method can be used with confidence but that the on-line method may result in higher return. However, the additional benefits of speed, convenience and cost make the on-line method appealing.

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