Dynamic Performance Analysis for Different Vector-Controlled CSI- Fed Induction Motor Drives

Arul Prasanna Mark,Gerald Christopher Raj Irudaya,Rajasekaran Vairamani,Kaliamoorthy Mylsamy 전력전자학회 2014 JOURNAL OF POWER ELECTRONICS Vol.14 No.5

High-performance Current Source Inverter (CSI)- fed, variable speed alternating current drives are prepared for various industrial applications. CSI-fed Induction Motor (IM) drives are managed by using different control methods. Noteworthy methods include scalar Control (V/f), Input? Output Linearization (IOL) control, Field- Oriented Control (FOC), and Direct Torque Control (DTC). The objective of this work is to compare the dynamic performance of the aforementioned drive control methods for CSI-fed IM drives. The dynamic performance results of the proposed drives are individually analyzed through sensitivity tests. The tests selected for the comparison are step changes in the reference speed and torque of the motor drive. The operation and performance of different vector control methods are verified through simulations with MATLAB/Simulink and experimental results.

차세대 전동차 DDM 유지보수방안 연구

김영규(Kim young-kyu),박세영(Park se-young),이기수(Lee gi-su),송정훈(Song jeong-hun),이한민(Lee han-min) 한국철도학회 2009 한국철도학회 학술발표대회논문집 Vol.2009 No.11월

Electric motor car's driving traction system for the latest train car has been developed from the DC series motor by resistance control and chopper control to the induction motor whose efficiency and maintenance are excellent by VVVF inverter control. In spite of this innovative development, as it is hard to expect more improvement than the existing system when it enters into technical maturity, Direct Drive Motor whose high maintenance free, efficiency, energy saving, low-noise and lightweight can be realized. This study examines and analyzes the maintenance system of existing electric motor car's traction motor operated by urban railway operation institutes and derives efficient maintenance methods through examining and analyzing the problems which can occur when applying maintenance method of next generation train's Direct Drive Motor.

Low Cost Motor Drive Technologies for ASEAN Electric Scooter

V. Tran Tuan,S. Kreuawan,P. Somsiri,P. Nguyen Huy 대한전기학회 2018 Journal of Electrical Engineering & Technology Vol.13 No.4

This work investigates two different motor drive technologies, switched reluctance motor (SRM) and induction motor (IM). They are designed optimally to meet the desired performances for electric scooters. The comparison of both motors is described in terms of performances and material cost. With the similar constraint, induction motor performs slightly better than switched reluctance motor. But this must be traded-off with higher weight and cost. Both drive systems are, however, suitable for electric scooter application. Finally, the range simulations are conducted on a European urban driving cycle, ECE15 driving cycle and a more realistic cycle, Bangkok driving cycle. The escooter ranges are varied from 36 to 109 km depending on driving cycle, motor technology and number of passengers.

Low Cost Motor Drive Technologies for ASEAN Electric Scooter

Tuan, Vu Tran,Kreuawan, Sangkla,Somsiri, Pakasit,Huy, Phuong Nguyen The Korean Institute of Electrical Engineers 2018 Journal of Electrical Engineering & Technology Vol.13 No.4

This work investigates two different motor drive technologies, switched reluctance motor (SRM) and induction motor (IM). They are designed optimally to meet the desired performances for electric scooters. The comparison of both motors is described in terms of performances and material cost. With the similar constraint, induction motor performs slightly better than switched reluctance motor. But this must be traded-off with higher weight and cost. Both drive systems are, however, suitable for electric scooter application. Finally, the range simulations are conducted on a European urban driving cycle, ECE15 driving cycle and a more realistic cycle, Bangkok driving cycle. The e-scooter ranges are varied from 36 to 109 km depending on driving cycle, motor technology and number of passengers.

Analysis of Cascaded H-Bridge Multilevel Inverter in DTC-SVM Induction Motor Drive for FCEV

Gholinezhad, Javad,Noroozian, Reza The Korean Institute of Electrical Engineers 2013 Journal of Electrical Engineering & Technology Vol.8 No.2

In this paper, analysis of cascaded H-bridge multilevel inverter in DTC-SVM (Direct Torque Control-Space Vector Modulation) based induction motor drive for FCEV (Fuel Cell Electric Vehicle) is presented. Cascaded H-bridge multilevel inverter uses multiple series units of H-bridge power cells to achieve medium-voltage operation and low harmonic distortion. In FCEV, a fuel cell stack is used as the major source of electric power moreover the battery and/or ultra-capacitor is used to assist the fuel cell. These sources are suitable for utilizing in cascaded H-bridge multilevel inverter. The drive control strategy is based on DTC-SVM technique. In this scheme, first, stator voltage vector is calculated and then realized by SVM method. Contribution of multilevel inverter to the DTC-SVM scheme is led to achieve high performance motor drive. Simulations are carried out in Matlab-Simulink. Five-level and nine-level inverters are applied in 3hp FCEV induction motor drive for analysis the multilevel inverter. Each H-bridge is implemented using one fuel cell and battery. Good dynamic control and low ripple in the torque and the flux as well as distortion decrease in voltage and current profiles, demonstrate the great performance of multilevel inverter in DTC-SVM induction motor drive for vehicle application.

Analysis of Cascaded H-Bridge Multilevel Inverter in DTC-SVM Induction Motor Drive for FCEV

Javad Gholinezhad,Reza Noroozian 대한전기학회 2013 Journal of Electrical Engineering & Technology Vol.8 No.2

In this paper, analysis of cascaded H-bridge multilevel inverter in DTC-SVM (Direct Torque Control-Space Vector Modulation) based induction motor drive for FCEV (Fuel Cell Electric Vehicle) is presented. Cascaded H-bridge multilevel inverter uses multiple series units of H-bridge power cells to achieve medium-voltage operation and low harmonic distortion. In FCEV, a fuel cell stack is used as the major source of electric power moreover the battery and/or ultra-capacitor is used to assist the fuel cell. These sources are suitable for utilizing in cascaded H-bridge multilevel inverter. The drive control strategy is based on DTC-SVM technique. In this scheme, first, stator voltage vector is calculated and then realized by SVM method. Contribution of multilevel inverter to the DTC-SVM scheme is led to achieve high performance motor drive. Simulations are carried out in Matlab-Simulink. Five-level and nine-level inverters are applied in 3hp FCEV induction motor drive for analysis the multilevel inverter. Each H-bridge is implemented using one fuel cell and battery. Good dynamic control and low ripple in the torque and the flux as well as distortion decrease in voltage and current profiles, demonstrate the great performance of multilevel inverter in DTC-SVM induction motor drive for vehicle application.

Induction Motor Position Controller Based on Rotational Motion Equations

Mahmoud M. Salem 전력전자학회 2008 JOURNAL OF POWER ELECTRONICS Vol.8 No.3

This paper presents a proposed position controller for a vector controlled induction motor. The position controller design depends on the rotational motion equations and a classical speed controller (CSC) performance. The CSC is designed to have the ability to track variable reference inputs and to provide a predefined system performance. Standard position controller in industry is presented to analyze its performance and its drawbacks. Then the proposed position controller is designed, based on the well defined rotational motion equations. The proposed position controller and the CSC are applied to control the position and speed of the vector controlled induction motor with different ratings. Simulation results at different operating conditions are presented to evaluate the proposed controllers' performance. The results show that the CSC can drive the motor with a predefined speed performance and can track a variable reference speed with an approximately zero steady state error. The results also show that the proposed position controller has the ability to effect high-precision positioning in a limited time and to track a variable reference position with a zero steady state error.

FNN 제어기를 이용한 유도전동기 드라이브의최대토크 제어

정동화,김종관,박기태,차영두,Chung, Dong-Hwa,Kim, Jong-Gwan,Park, Gi-Tae,Cha, Young-Doo 한국조명전기설비학회 2005 조명·전기설비학회논문지 Vol.19 No.8

본 논문에서는 퍼지와 신경회로망을 혼합한 FNN(Fuzzy Neural Network) 제어기를 이용한 유도전동기의 최대 토크 제어를 제시한다. 먼저 유도전동기 드라이브의 고성능 제어를 위하여 FNN 제어기를 설계한다. 다음은 유도전동기의 최대토크 제어를 위하여 주어진 부하토크에서 고정자 전류를 최소화하여 단위 전류당 발생토크를 높인다. 본 논문에서 제시한 FNN을 이용한 최대토크 제어의 특성을 분석하고 그 결과를 제시한다. The maximum output torque and power developed by the machine is ultimately depended on the allowable inverter current rating and maximum voltage which the inverter can supply to the machine. Therefore, considering the limited voltage and current capacities, it is desirable to consider a control method which yields the best possible torque per ampere. In this paper, we propose fuzzy neural network(FNN) controller that combines a fuzzy control and the neural network for high performance control of induction motor drive. This controller composes antecedence of the fuzzy rules and consequence by a clustering method and a multi-layer neural networks. This controller is compounding of advantages that robust control of a fuzzy control and high-adaptive control of the neural networks. Also, this paper is proposed control of maximum torque per ampere(MTPA) of induction moor. This strategy is reposed which is simple in structure and has the honest goal of minimizing the stator current magnitude for given load torque. The performance of the proposed induction motor drive with maximum torque control using FNN controller is verified by analysis results at dynamic operation conditions.

ANN에 의한 유도전동기의 회전자 저항 추정

고재섭(Jae-Sub Ko),최정식(Jung-Sik Choi),정동화(Dong-Hwa Chung) 한국조명·전기설비학회 2006 조명·전기설비학회논문지 Vol.20 No.10

본 논문은 드라이브의 간적벡터제어에서 ANN을 이용하여 유도전동기의 회전자 저항을 온라인 추정하기 위한 새로운 기법을 제시한다. 약전파 알고리즘은 신경회로망의 학습을 위해 사용된다. 신경회로망의 실제 상태값과 유도전동기의 요구값 사이의 오차는 신경회로망 모델의 하중값 조절을 위하여 역전파 하여 실제값이 요구값을 추정하도록 한다. 드라이브의 회전자 저항, 토크, 자속응답 성능등 이러한 추정기의 성능은 고유값으로부터 회전자 저항을 연구하게 된다. 회전자 저항은 유도전동기 드라이브의 벡터제어에서 제시된 ANN을 사용하여 추정한다. This paper proposes a new method of on-line estimation for rotor resistance of the induction motor in the indirect vector controlled drive, using artificial neural network (ANN). The back propagation algorithm is used for training of the neural networks. The error between the desired state variable of an induction motor and actual state variable of a neural network model is back propagated to adjust the weight of a neural network model, so that the actual state variable tracks the desired value. The performance of rotor resistance estimator and torque and flux responses of drive, together with these estimators, are investigated variations rotor resistance from their nominal values. The rotor resistance are estimated analytically, using the proposed ANN in a vector controlled induction motor drive.

유도전동기 드라이브의 고성능 제어를 위한 PI, FNN 및 ALM-FNN 제어기의 비교연구

강성준(Sung-Jun Kang),고재섭(Jae-Sub Ko),최정식(Jung-Sik Choi),장미금(Mi-Geum Jang),백정우(Jung-Woo Back),정동화(Dong-Hwa Chung) 한국조명·전기설비학회 2009 한국조명·전기설비학회 학술대회논문집 Vol.2009 No.5월

In this paper, conventional PI, fuzzy neural network(FNN) and adaptive learning mechanism(ALM)-FNN for rotor field oriented controlled(RFOC) induction motor are studied comparatively. The widely used control theory based design of PI family controllers fails to perform satisfactorily under parameter variation, nonlinear or load disturbance. In high performance applications, it is useful to automatically extract the complex relation that represent the drive behaviour. The use of learning through example algorithms can be a powerful tool for automatic modelling variable speed drives. They can automatically extract a functional relationship representative of the drive behavior. These methods present some advantages over the classical ones since they do not rely on the precise knowledge of mathematical models and parameters. Comparative study of PI, FNN and ALM-FNN are carried out from various aspects which is dynamic performance, steady-state accuracy, parameter robustness and complementation etc. To have a clear view of the three techniques, a RFOC system based on a three level neutral point clamped inverter-fed induction motor drive is established in this paper. Each of the three control technique: PI, FNN and ALM-FNN, are used in the outer loops for rotor speed. The merit and drawbacks of each method are summarized in the conclusion part, which may a guideline for industry application.