Conference Proceeding

Matlab/Simulink Model of Space Vector PWM for Three-Phase Voltage Source Inverter

Aligarh Muslim Univ., Aligarh
10/2006; DOI:10.1109/UPEC.2006.367646 ISBN: 978-186135-342-9 In proceeding of: Universities Power Engineering Conference, 2006. UPEC '06. Proceedings of the 41st International, Volume: 3
Source: IEEE Xplore

ABSTRACT Variable voltage and frequency supply to AC drives is invariably obtained from a three-phase voltage source inverter (VSI). A number of pulse width modulation (PWM) schemes are used to obtain variable voltage and frequency supply. The most widely used PWM schemes for three-phase VSI are carrier-based sinusoidal PWM and space vector PWM (SVPWM). There is an increasing trend of using space vector PWM (SVPWM) because of their easier digital realisation and better dc bus utilisation. This paper focuses on step by step development of MATLAB/SIMULINK model of SVPWM. Firstly model of a three-phase VSI is discussed based on space vector representation. Next simulation model of SVPWM is obtained using MATLAB/SIMULINK. Simulation results are also provided.

26 2
 · 
343 Bookmarks
 · 
10,530 Views
  • [show abstract] [hide abstract]
    ABSTRACT: The use of voltage source inverter (VSI) in high performance drives removes the restriction of the number of motor phases. Due to the reported advantages of multi-phase machines they have become of increasing interest to the industry. This paper provides a Matlab/Simulink built n-phase machine model in terms of physical variables along with the VSI and V/f control scheme that a user can easily set to any phase (n≥3) number. Efforts have been made to produce the simplest model possible, so that a student can easily understand the mathematical model of the machine and relate it to the variables within the Simulink model. After a short theoretical review of the mathematical model of an induction machine with an arbitrary phase number, the Simulink implementation is discussed. Simulation results for a three- and five-phase machine are provided, to prove the validity of the model and capabilities of the developed software.
    Universities Power Engineering Conference (UPEC), 2010 45th International; 10/2010
  • [show abstract] [hide abstract]
    ABSTRACT: Space Vector PWM (SVPWM) model is often built based on high-level functions and verified based on the output of the inverter or the model of the electrical motor with best possible accuracy. However, SVPWM implementation on digital hardware such as Field Programmable Gate Array (FPGA) and Application-specific Integrated Circuit (ASIC) is constrained by the limited resources and computation accuracy in these digital hardware compared to the mathematical model. The paper proposed a method that utilizes Matlab Simulink and Fixed-Point Toolbox to construct hardware-amenable SVPWM model. Using the proposed model, it is possible to estimate the digital hardware resources used and analyze the accuracy of the system before the actual designing process takes place. The model has been simulated and verified with signal switching patterns and output signals from the model of the electrical motor. Based on functional comparisons, it was found that the outputs of the SVPWM model are almost identical to the digital hardware implementation.
    Circuits and Systems (APCCAS), 2010 IEEE Asia Pacific Conference on; 01/2011
  • [show abstract] [hide abstract]
    ABSTRACT: This paper presents a new simplification of Space Vector Pulse Width Modulation (SV-PWM) for two-level three-phase inverters. The look-up tables with formulas about switching times and states were replaced by simple arithmetic and boolean equations. The explicit identification of the sector where the reference space vector is located was also eliminated. This paper proposes the rotation of reference space vector in 180° if its imaginary component is negative. This new procedure reduces the number of sectors to analize. Simulation and experimental results demonstrate that the proposed simplification of SV-PWM can achieve the desired voltages and has less computational cost than conventional SVPWM.
    01/2010;

Full-text

View
36,515 Downloads
Available from
Feb 11, 2012