Effect of internal capacitive compensation for reactive power in induction motor

2009 ◽  
Vol 80 (8) ◽  
pp. 444-449 ◽  
Author(s):  
V. I. Mishin ◽  
R. N. Chuenko ◽  
V. V. Gavrilyuk
Keyword(s):  
Induction Motor ◽  
Reactive Power ◽  
Internal Capacitive Compensation

Features of calculation of characteristics of the compensated induction motor in the matlab simulink software environment

2021 ◽  
pp. 5-17
Author(s):  
R. Chuienko ◽  
Keyword(s):  
Mathematical Model ◽  
Energy Efficiency ◽  
Induction Motor ◽  
Mechanical Characteristics ◽  
Reactive Power ◽  
Induction Motors ◽  
Reactive Power Compensation ◽  
Software Environment ◽  
Electric Circuits ◽  
Internal Capacitive Compensation

An asynchronous electric motor with a short-circuited rotor is the most common means of converting electrical energy into mechanical energy in the electric drive of working machines in industry and agriculture. Modern methods of increasing the energy efficiency of induction motors with short-circuited rotor are aimed at finding with the help of computer technology the optimal solutions in the processes of their design, production and operation using new high-performance materials in machines. Such methods do not change the physical processes occurring in the induction motor, ie are passive. However, despite numerous improvements and scientific achievements, technical and economic indicators of induction motors still do not meet modern energy requirements. It is necessary to use ways to increase the energy efficiency of induction motors while maintaining their simplicity and reliability. It is proposed to use internal capacitive compensation of reactive power of induction motors. The aim of the research is to develop a mathematical model of an induction motor with internal capacitive reactive power compensation in the MathLab Simulink software environment for the calculation of operating and mechanical characteristics. A mathematical model of an induction motor with internal capacitive reactive power compensation in the MathLab Simulink software environment using the theory of electric circuits has been developed. The developed mathematical model allows to study the working and mechanical characteristics of an induction motor with internal capacitive compensation of reactive power. Numerical researches of characteristics of the induction motor with internal capacitive compensation of reactive power are carried out and their comparison with corresponding characteristics of the basic induction motor is carried out.

Neural learning adaptive system using simplified reactive power reference model based speed estimation in sensorless indirect vector controlled induction motor drives

2013 ◽  
Vol 62 (1) ◽  
pp. 25-41 ◽  
Author(s):  
K. Sedhuraman ◽  
S. Himavathi ◽  
A. Muthuramalingam
Keyword(s):  
Induction Motor ◽  
Reactive Power ◽  
Adaptive System ◽  
Learning Algorithm ◽  
Motor Drives ◽  
Speed Estimation ◽  
Induction Motor Drives ◽  
Model Reference ◽  
Neural Learning ◽  
Speed Estimator

Abstract This paper presents a novel speed estimator using Reactive Power based Model Reference Neural Learning Adaptive System (RP-MRNLAS) for sensorless indirect vector controlled induction motor drives. The Model Reference Adaptive System (MRAS) based speed estimator using simplified reactive power equations is one of the speed estimation method used for sensor-less indirect vector controlled induction motor drives. The conventional MRAS speed estimator uses PI controller for adaptation mechanism. The nonlinear mapping capability of Neural Network (NN) and the powerful learning algorithms have increased the applications of NN in power electronics and drives. This paper proposes the use of neural learning algorithm for adaptation in a reactive power technique based MRAS for speed estimation. The proposed scheme combines the advantages of simplified reactive power technique and the capability of neural learning algorithm to form a scheme named “Reactive Power based Model Reference Neural Learning Adaptive System” (RP-MRNLAS) for speed estimator in Sensorless Indirect Vector Controlled Induction Motor Drives. The proposed RP-MRNLAS is compared in terms of accuracy, integrator drift problems and stator resistance versions with the commonly used Rotor Flux based MRNLAS (RF-MRNLAS) for the same system and validated through Matlab/Simulink. The superiority of the RP-MRNLAS technique is demonstrated.

scholarly journals Low Speed Estimation of Sensorless DTC Induction Motor Drive Using MRAS with Neuro Fuzzy Adaptive Controller

2018 ◽  
Vol 8 (5) ◽  
pp. 2691
Author(s):  
Mini R ◽  
Shabana Backer P. ◽  
B. Hariram Satheesh ◽  
Dinesh M. N
Keyword(s):  
Comparative Analysis ◽  
Induction Motor ◽  
Reactive Power ◽  
Adaptive Controller ◽  
Operating Conditions ◽  
Estimation Methods ◽  
Speed Estimation ◽  
Loop Model ◽  
Low Speed ◽  
Rotor Flux

<p>This paper presents a closed loop Model Reference Adaptive system (MRAS) observer with artificial intelligent Nuero fuzzy controller (NFC) as the adaptation technique to mitigate the low speed estimation issues and to improvise the performance of the Sensorless Direct Torque Controlled (DTC) Induction Motor Drives (IMD). Rotor flux MRAS and reactive power MRAS with NFC is explored and detailed analysis is carried out for low speed estimation. Comparative analysis between rotor flux MRAS and reactive power MRAS with PI as well as NFC as adaptive controller is performed and results are presented in this paper. The comparative analysis among these four speed estimation methods shows that reactive power MRAS with NFC as adaptation mechanism shows reduced speed estimation error and actual speed error at steady state operating conditions when the drive is subjected to low speed operation. Simulation carried out using MATLAB-Simulink software to validate the performance of the drive especially at low speeds with rated and variable load conditions.</p>

scholarly journals Active and Reactive Power Joint Balancing for Analyzing Short-Term Voltage Instability Caused by Induction Motor

Energies ◽  
2019 ◽  
Vol 12 (19) ◽  
pp. 3617
Author(s):  
Ding Wang ◽  
Yangwu Shen ◽  
Zhen Hu ◽  
Ting Cui ◽  
Xiaoming Yuan
Keyword(s):  
Induction Motor ◽  
Reactive Power ◽  
Movement Direction ◽  
Analysis Method ◽  
Short Term ◽  
Voltage Instability ◽  
Operation Conditions ◽  
Active And Reactive Power ◽  
Acceleration And Deceleration ◽  
Power Balancing

Short-term voltage instability has a sensational effect once it occurs with massive loss of load, possibly area instability, and voltage collapse. This paper analyzes the short-term voltage instability caused by induction motor from the viewpoint of active and reactive power joint balancing. The analysis method is based on (1) the reactive power balancing between system supply and induction motor demand, and (2) the active power balancing between air-gap power and mechanical power, which is expressed by the region of rotor acceleration and deceleration in the Q-V plane. With the region of rotor acceleration and deceleration in the Q-V plane and the reactive power balancing, the movement direction of the operating point can be visually observed in the Q-V plane, thereby achieving a clear comprehension of physical properties behind the short-term voltage instability phenomenon. Furthermore, the instability mechanisms of two kinds of grid-connected induction motor operation conditions after a large disturbance are discussed to explain the basic theory of the analysis method and to provide examples of its application. Time-domain simulations are presented for a single-load infinite-bus system to validate the analyses.

scholarly journals Stator Inductance Identification Based on Low-Speed Tests for Three-Level NPC Inverter-Fed Induction Motor Drives

Electronics ◽  
2020 ◽  
Vol 9 (1) ◽  
pp. 183 ◽  
Author(s):  
Yerganat Khojakhan ◽  
Kyoung-Min Choo ◽  
Chung-Yuen Won
Keyword(s):  
Induction Motor ◽  
Reactive Power ◽  
Low Frequency ◽  
Test Drive ◽  
Identification Process ◽  
Low Speed ◽  
Speed Test ◽  
Simulation And Experiment ◽  
Sinusoidal Current ◽  
Stator Flux

This paper proposes a stator inductance identification process for three-level neutral point clamped (NPC), inverter-fed Induction Motor (IM) drives based on a low-speed test drive. Conventionally, the stator inductance of an IM is identified by methods based on standstill or rotational tests. Since conventional standstill test-based methods have several practical problems when used with three-level inverters because of their nonlinearity, an identification method based on rotational tests is superior in such applications. However, conventional rotational tests cause unintended behavior because of the high speeds used during the test. In the proposed stator inductance identification process, the stator inductance is identified based on a low-speed test drive. In the proposed method, the stator flux is estimated using the instantaneous reactive power of the IM during low-frequency sinusoidal current excitation, and the stator inductance is then identified based upon this. Therefore, the proposed identification process is safer than conventional approaches, as it uses only a low-speed test. The accuracy and reliability of this method are verified by simulation and experiment using three motors with different rated voltage and power.

Reactive-Power-Based MRAS for Online Rotor Time Constant Estimation in Induction Motor Drives

2018 ◽  
Vol 33 (12) ◽  
pp. 10835-10845 ◽  
Author(s):  
Pengpeng Cao ◽  
Xing Zhang ◽  
Shuying Yang ◽  
Zhen Xie ◽  
Yuwei Zhang
Keyword(s):  
Induction Motor ◽  
Time Constant ◽  
Reactive Power ◽  
Motor Drives ◽  
Induction Motor Drives
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