scholarly journals THE IDENTIFICATION OF INDUCTION MOTOR INTERNAL QUANTITIES

2021 ◽  
Vol 21 (3) ◽  
pp. 24-29
Author(s):  
Marek FEDOR ◽  
◽  
Daniela PERDUKOVA ◽  
Keyword(s):  
Transfer Function ◽  
Angular Speed ◽  
Electromagnetic Torque ◽  
Flux Vector ◽  
Identification Method ◽  
Rotor Resistance ◽  
Linear Transfer Function ◽  
Rotor Flux ◽  
Voltage Frequency ◽  
Master Control

In the presented work a new identification method of difficult measured internal quantities of IM, such as components of magnetic flux vector and electromagnetic torque, is proposed. Commonly measurable quantities of IM like stator currents, stator voltage frequency and mechanical angular speed are used for identification to determine a feedback effect of the rotor flux vector on vector of stator currents of IM. Based on this feedback it is also possible to identify actual value of the rotor resistance, which can alter during IM operation. This has a significant impact on precision of identified quantities as well as on master control of IM. Stability of the identification structure is guaranteed by position of roots of characteristic equation of its linear transfer function. Results obtained from simulation measurements confirm quality, effectivity, feasibility, and robustness of the proposed identification method.

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

Transfer Function Identification Method for Fast-Steering Mirror Driven by PZT

2020 ◽  
Vol 47 (11) ◽  
pp. 1105002
Author(s):  
周睿 Zhou Rui ◽  
张强 Zhang Qiang ◽  
甘永东 Gan Yongdong ◽  
沈锋 Shen Feng
Keyword(s):  
Transfer Function ◽  
Identification Method ◽  
Function Identification

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.

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