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.

scholarly journals Accuracy Improvement of Stator Inductance Identification Method Based on Low-Frequency Current Injection for Three-Level NPC Inverter-Fed IM Drives in Locked-Rotor Standstill Condition

Electronics ◽  
2021 ◽  
Vol 10 (4) ◽  
pp. 488
Author(s):  
Yerganat Khojakhan ◽  
Kyoung-Min Choo ◽  
Junsin Yi ◽  
Chung-Yuen Won
Keyword(s):  
Induction Motor ◽  
Low Frequency ◽  
Current Injection ◽  
Heavy Load ◽  
Injection Test ◽  
Low Speed ◽  
Injection Speed ◽  
Speed Test ◽  
Identification Method ◽  
Drive Systems

In this paper, a stator inductance identification process is proposed. The process is based on a three-level neutral-point-clamped (NPC) inverter-fed induction motor (IM) drive with a standstill condition. Previously, a low-speed alternating current (AC) injection test for stator inductance identification was proposed to overcome practical problems in conventional identification methods for three-level NPC inverter-based IM drives. However, the low-speed AC injection test-based identification method has some problems if a heavy load or mechanical brake is connected, as these can forcibly bring the rotor to a standstill during parameter identification. Since this low-speed testing-based identification assumes the motor torque is considerably lower in low-speed operations, some inaccuracy is inevitable in this kind of standstill condition. In this paper, the proposed current injection speed generator is based on the previously studied low-speed test-based stator inductance identification method, but the proposed approach gives more accurate estimates under the aforementioned standstill conditions. The proposed method regulates the speed for sinusoidal low-frequency AC injection on the basis of the instantaneous reactive and air-gap active power ratio. This proposed stator inductance identification method is more accurate than conventional fixed low-frequency AC signal injection identification method for three-level NPC inverter-fed IM drive systems with a locked-rotor standstill condition. The proposed method’s accuracy and reliability were verified by simulation and experiment using an 18.5 kW induction motor.

scholarly journals Low-Speed Performance Improvement of Direct Torque Control for Induction Motor Drives Fed by Three-Level NPC Inverter

Electronics ◽  
2020 ◽  
Vol 9 (1) ◽  
pp. 77 ◽  
Author(s):  
Samer Hakami ◽  
Ibrahim Mohd Alsofyani ◽  
Kyo-Beum Lee
Keyword(s):  
Induction Motor ◽  
Direct Torque Control ◽  
Basic Structure ◽  
Motor Drives ◽  
Torque Control ◽  
Low Speed ◽  
Speed Performance ◽  
Sinusoidal Current ◽  
Stator Flux ◽  
Stator Resistance

Classical direct torque control (DTC) is considered one of the simplest and fastest control algorithms in motor drives. However, it produces high torque and flux ripples due to the implementation of the three-level hysteresis torque regulator (HTR). Although, increasing the level of HTR and utilizing multilevel inverters has a great contribution in torque and flux ripples reduction, stator flux magnitude of induction motor (IM) droops at every switching sector transition, particularly at low-speed operation. This problem occurs due to the utilization of a zero voltage vector, where the domination of stator resistance is very high. A simple flux regulation strategy (SFRS) is applied for low-speed operation for DTC of IM. The proposed DTC-SFRS modifies the output status of the five-level HTR depending on the flux error, torque error, and stator flux position. This method regulates the stator flux for both forward and reverse rotational directions of IM with retaining the basic structure of classical DTC. By using the proposed algorithm, the stator flux is regulated, hence pure sinusoidal current waveform is achieved, which results in lower total harmonics distortion (THD). The effectiveness of the proposed DTC-SFRS is verified through simulation and experimental results.

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>

Hardware Implementation of Induction Motor using ANN Controller under Low Speed Operation

2016 ◽  
Vol 2 (3) ◽  
pp. 522
Author(s):  
Saranya R ◽  
Thangavel S
Keyword(s):  
Neural Network ◽  
Artificial Neural Network ◽  
Induction Motor ◽  
High Performance ◽  
Motor Speed ◽  
Low Speed ◽  
Neural Network Controller ◽  
Network Controller ◽  
Artificial Neural ◽  
Stator Flux

<p>For the high performance drives the artificial neural network based Induction motor is proposed. During the load variation, the performance of the Induction motor proves to be low. Intelligent controller provided for controlling the speed of induction motor especially with high dynamic disturbances. An effective sensorless strategy based on artificial neural network controller is developed to estimate rotor’s position and to regulate the stator flux under low speed, helps to track the motor speed accurately during the whole operating region. The overall combination of this setup is simulated in the MATLAB/SIMULINK platform. Finally an experimental prototype of the proposed drive has been developed to validate the performance of Induction Motor and the dynamic speed response of Induction motor with proposed controller was estimated for various speed and found that the speed can be controlled effectively.</p>

High Speed Experimental Study of Friction Induced Vibration in Disc Brakes

2012 ◽  
Vol 229-231 ◽  
pp. 747-749
Author(s):  
K. Magaswaran ◽  
A.S. Phuman Singh ◽  
Muhammad Zahir Hassan
Keyword(s):  
Experimental Study ◽  
High Speed ◽  
Low Frequency ◽  
Low Speed ◽  
Speed Test ◽  
Disc Brakes ◽  
Stop Condition ◽  
Friction Induced Vibration ◽  
Speed Characteristic

Brake dynamic groan noise which is a low frequency phenomena associated with brake stop condition or slow brake release. This phenomenon said to be a friction-speed characteristic and commonly associated with low speed events. Thus a high speed test regarding this phenomenon is done. In conjunction with speed, pressure relation is also tested. Analysis of groan occurrence in relation of the speed and pressure is performed. The pressure relation to this event is expected to widen the study of this phenomenon which currently confined to stick and slip motions.

Research on Induction Motor DTC System Based on Fuzzy PI Controller

2010 ◽  
Vol 29-32 ◽  
pp. 2200-2204
Author(s):  
Xue Zhi Hu ◽  
Guang Qun Nan
Keyword(s):  
Induction Motor ◽  
Direct Torque Control ◽  
Experimental System ◽  
Torque Ripple ◽  
Torque Control ◽  
Switching Frequency ◽  
System Effect ◽  
Low Speed ◽  
Static Performance ◽  
Stator Flux

Traditional induction motor direct torque control system with the hysteresis loop controller, based on torque error, set the amplitude error to select the inverter switching state, is a Band-Band Control , torque error and stator flux error of level can not be distinguished, switching frequency is not constant, over-sector current and the distortion flux linkage can product low speed torque ripple, affecting the control of the system effect. The paper proposed fuzzy PI control of induction motor direct torque control scheme, a system of principles was introduced, controller parameters was designed by fuzzy theoretical. Finally a full-digital experimental system was built with the TMS320F2812 as the master chip and PM30CSJ060 as an inverter main circuit. Results show that the dynamic and static performance and running smoothly with low-speed is verified.

scholarly journals A Very-Low-Speed Sensorless Control Induction Motor Drive with Online Rotor Resistance Tuning by Using MRAS Scheme

2019 ◽  
Vol 4 (1) ◽  
pp. 125-140 ◽  
Author(s):  
Youssef Agrebi Zorgani ◽  
Mabrouk Jouili ◽  
Yassine Koubaa ◽  
Mohamed Boussak
Keyword(s):  
Induction Motor ◽  
Reference Frame ◽  
Motor Drive ◽  
Induction Motor Drive ◽  
Adaptation Mechanism ◽  
Pass Filter ◽  
Low Pass Filter ◽  
Low Speed ◽  
Rotor Resistance ◽  
Stator Flux

Abstract A sensorless indirect stator-flux-oriented control (ISFOC) induction motor drive at very low frequencies is presented herein. The model reference adaptive system (MRAS) scheme is used to estimate the speed and the rotor resistance simultaneously. However, the error between the reference and the adjustable models, which are developed in the stationary stator reference frame, is used to drive a suitable adaptation mechanism that generates the estimates of speed and the rotor resistance from the stator voltage and the machine current measurements. The stator flux components in the stationary reference frame are estimated through a pure integration of the back electro-motive force (EMF) of the machine. When the machine is operated at low speed, the pure integration of the back EMF introduces an error in flux estimation which affects the performance torque and speed control. To overcome this problem, pure integration is replaced with a programmable cascaded low-pass filter (PCLPF). The stability analysis method of the MRAS estimator is verified in order to show the robustness of the rotor resistance variations. Experimental results are presented to prove the effectiveness and validity of the proposed scheme of sensorless ISFOC induction motor drive.

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