Control of AC Motor Drives: Performance Evaluation of Industrial State of Art and New Technique

Anbarasu, R.; Somakumar, R.

doi:10.1109/icit.2006.372717

Cited by 4 publications

(3 citation statements)

References 8 publications

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“…The application of induction motors (IM) in traction systems, including electric vehicles, requires comparison of available drives for traction. The IM is the best choice for electric vehicle driving motor, since it has simple structure, reliable operation, high efficiency and large power density [1,2,3].The IM is widely used in industry applications, mainly due to its rigidness, maintenance-free operation, and relatively low cost. In contrast to the commutation DC motor, it can be used in aggressive or volatile environments since there are no risks of corrosion or sparks.…”

Section: Introductionmentioning

confidence: 99%

A Novel Sliding Mode Fuzzy Control based on SVM for Electric Vehicles Propulsion System

Boumédiène¹,

Abdellah²

2012

ECTI-EEC

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This paper presents a new sliding mode fuzzy control (SMFC) scheme for torque control of induction motors of the electric vehicles propulsion system. The control principle is based on sliding mode fuzzy control combined with space vector modulation (SVM) technique. The sliding mode fuzzy control contributes to the robustness of induction motor wheel drives of the electric vehicle propulsion system, and the space vector modulation improves the torque, flux, and current steady-state performance by reducing the ripple. The Lyapunov direct method reinforced with fuzzy logic is used to ensure the reaching and sustaining of sliding mode and stability of the control system. The performance of the proposed system is compared with those of conventional sliding mode controller and classical PI controller. Finally, computer simulation results verify the validity of the proposed method and show that the proposed control scheme provides robust dynamic characteristics with low torque ripple.

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Section: Introductionmentioning

confidence: 99%

A Novel Sliding Mode Fuzzy Control based on SVM for Electric Vehicles Propulsion System

Boumédiène¹,

Abdellah²

2012

ECTI-EEC

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“…This limitation can be overcome by adopting a regular sampled PWM strategy, in which the low frequency reference waveforms are sampled and then held constant during each carrier interval. These sampled values are compared against the triangular carrier waveform to control the switching process of each phase leg, instead of the sinusoidally varying reference [6]. Even though the method is very simple, it has the following drawbacks: 1) SPWM is unable to fully utilize the available DC bus supply voltage to the voltage source inverter.…”

Section: B Regular Sampled Pwmmentioning

confidence: 99%

Detailed Review of Induction Motor Drive

Ahamad¹

2018

IJRASET

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The induction motor was invented in 1888 by Nikola Tesla [1]. Dolivo Dobrowolski extended its structure in 1890 which is known as squirrel-cage motor [2].In modern days industrialized countries, more than half the total electrical energy used is converted to mechanical energy through induction motor This paper deals with literature survey of various existing converter topologies, and control strategies which have been proposed for induction motor drives. A study of the merit and demerit of different converter topologies have been carried out and various control strategies have been analyzed in this paper.

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“…The speed and torque dynamic responses, including settling time and overshoot are compared. Tripathi et al [8] propose a modified DTC which uses the stator flux to control the torque. No clear comparisons are made between DTC, DTC-SVM, and FOC, even though a vector diagram showing the dynamic operation of FOC and DTC is presented.…”

mentioning

confidence: 99%

Comparison of induction motor drives for electric vehicle applications: Dynamic performance and parameter sensitivity analyses

Bazzi

Friedl

Choi

et al. 2009

2009 IEEE International Electric Machines and Drives Conference

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Indirect field oriented control (IFOC) and direct torque control (DTC) have been widely commercialized in induction motor drives, with each being favored by its supporters. In this paper, the dynamic performance of these drives for an electric vehicle application is examined, and sensitivities to parameter variations affecting this dynamic performance are explored. Key performance measures include torque and speed transients. To achieve decoupling between the drive and the switching scheme, both drives are simulated in MATLAB/Simulink for different switching schemes. These schemes include space-vector pulse-width modulation (SVPWM), and hysteretic control for IFOC and DTC. DTC is also simulated with a switching table. Experimental results for some of these schemes are also presented. Results show that control performance is influenced by the switching scheme. It is shown that when IFOC and DTC are used with SVPWM, the torque response of IFOC is superior. These characteristics are verified by simulations. The work opens further discussion for the feasibility of applying IFOC in electric and hybrid-electric vehicles. 1 Nomenclature P: Number of poles r s : Stator resistance (Ω) r r : Rotor resistance (Ω) L m : Mutual inductance (H) L s : Stator inductance (H) L r : Rotor inductance (H) τ r = L r /r r (s) σ = (L s L r -L m 2 )/L r : Leakage factor (H) ς = (L s L r -L m 2 )/L m 2 : per-unit leakage factor i qs : Quadrature stator current (A) i ds : Direct stator current (A) i abcs : 3-phase stator current (A) v qs : Quadrature stator voltage (V) v ds : Direct stator voltage (V) v abcs : 3-phase stator voltage (V) T e : Electromechanical torque (N·m) T L : Load torque (N·m) θ e : Electrical angle (rad) ω e : Electrical frequency (rad/s) ω r : Rotor speed (rad/s) ω rm : Mechanical speed (rad/s) ω sl : Slip frequency (rad/s) 1 This work was supported in part by the U.S. Office of Naval Research under Award Number N00014-08-1-0397.λ qs : Quadrature stator flux linkage (V·s) λ ds : Direct stator flux linkage (V·s) λ qr : Quadrature rotor flux linkage (V·s) λ dr : Direct rotor flux linkage (V·s) λ s = : Stator flux magnitude (V·s) λ r = : Rotor flux magnitude (V·s)The superscript "*" denotes a command input. The superscripts "e" and "s" denote variables in the synchronous and stationary reference frames, respectively.

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Control of AC Motor Drives: Performance Evaluation of Industrial State of Art and New Technique

Cited by 4 publications

References 8 publications

A Novel Sliding Mode Fuzzy Control based on SVM for Electric Vehicles Propulsion System

A Novel Sliding Mode Fuzzy Control based on SVM for Electric Vehicles Propulsion System

Detailed Review of Induction Motor Drive

Comparison of induction motor drives for electric vehicle applications: Dynamic performance and parameter sensitivity analyses

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