Numeric analysis and simulation of space vector pulse width modulation

Chen, Guoqiang; Kang, Jiannan; Jun-wei, Zhao

doi:10.1016/j.advengsoft.2013.04.017

Cited by 13 publications

(3 citation statements)

References 9 publications

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“…Some works based on the current ripple analysis in both deterministic and random PWM are published in the literature; in general, the randomization affects the current ripple [17,23,24]. However, we focus our study on the maximum spreading of power spectral density of electromagnetic torque seen the strong relation it has with the audible noise reduction.…”

Section: Advantage Of Trsvm In Closed Loopmentioning

confidence: 97%

Combined random space vector modulation for a variable speed drive using induction motor

et al. 2015

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and analyzed in steady-state characteristics of the motor\ud B\ud Aimad Boudouda\ud aimad.boudouda@gmail.com\ud Nasserdine Boudjerda\ud n_boudjerda@yahoo.fr\ud Khalil El Khamlichi Drissi\ud drissi@lasmea.univ-bpclermont.fr\ud Kamal Kerroum\ud Kamal.KERROUM@lasmea.univ-bpclermont.fr\ud 1\ud Department of Electrical Engineering, University Mohamed\ud Seddik Ben Yahia, Jijel, Algeria\ud 2\ud Pascal Institute, Blaise Pascal University, Clermont Ferrand,\ud France\ud in closed loop, which is advantageous in reducing acoustic\ud nois

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Section: Advantage Of Trsvm In Closed Loopmentioning

confidence: 97%

Combined random space vector modulation for a variable speed drive using induction motor

et al. 2015

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“…The mathematical model of PMSM in a d , q two-phase rotating coordinate system is shown below [38]. The voltage equation is

\begin{matrix} u_{q} = R_{s} i_{q} + L_{q} {\dot{i}}_{q} + ω_{e} L_{d} i_{d} + ω_{e} ψ_{f}, \\ u_{d} = R_{s} i_{d} + L_{d} {\dot{i}}_{d} - ω_{e} L_{q} i_{q}, \end{matrix}

where u d and u q represent the stator winding shaft in a straight axis and the quadrature voltage, respectively; i d and i q are the direct-axis current and quadrature-axis current, respectively; R s is the stator phase resistance; L d is the straight axis inductance; L q is the quadrature axis inductance; ψ f is the permanent-magnet fundamental excitation magnetic field and stator winding of the magnetic chain; w e is the electric angular speed of rotor.…”

Section: Pid Controller Optimizationmentioning

confidence: 99%

A Fast Elitism Gaussian Estimation of Distribution Algorithm and Application for PID Optimization

Zhang

2014

The Scientific World Journal

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Estimation of distribution algorithm (EDA) is an intelligent optimization algorithm based on the probability statistics theory. A fast elitism Gaussian estimation of distribution algorithm (FEGEDA) is proposed in this paper. The Gaussian probability model is used to model the solution distribution. The parameters of Gaussian come from the statistical information of the best individuals by fast learning rule. A fast learning rule is used to enhance the efficiency of the algorithm, and an elitism strategy is used to maintain the convergent performance. The performances of the algorithm are examined based upon several benchmarks. In the simulations, a one-dimensional benchmark is used to visualize the optimization process and probability model learning process during the evolution, and several two-dimensional and higher dimensional benchmarks are used to testify the performance of FEGEDA. The experimental results indicate the capability of FEGEDA, especially in the higher dimensional problems, and the FEGEDA exhibits a better performance than some other algorithms and EDAs. Finally, FEGEDA is used in PID controller optimization of PMSM and compared with the classical-PID and GA.

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“…Using the rotor position signal, u d and u q can be transformed to u α and u β in static frame by park inverse transformation. Finally, after analysis and calculation with u α and u β , SVPWM module can generate PWM signals to control inverter to realize the stable operation of BLDCM [8].…”

Section: The Mathematical Model Of Permanent Magnet Bldcm In Rotary T...mentioning

confidence: 99%

Experiment Research on Five-Segment Type Space Vector Pulse Width Modulation for Permanent Magnetic Brushless DC Motor

Liao

Cai

Jia

2014

AMM

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Traditional square current driving method has deficiencies in muting and efficiency when controlling the brushless DC motor. This paper presents a method of space vector pulse width modulation for BLDCM, which is in five-segment type. A mathematical model of BLDCM, which is in d-q coordinate system, was established. Then, the experimental platform was constructed with the STM32F103 for BLDCM of electric vehicle. And the experiment results verify the properties of little torque ripple, smooth operation and low switching losses. Besides, the system dynamic and static performance is greatly improved, and has strong robustness. The method proposed overcomes the shortcomings of square current driving method in control efficiency and motor noise.

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Numeric analysis and simulation of space vector pulse width modulation

Cited by 13 publications

References 9 publications

Combined random space vector modulation for a variable speed drive using induction motor

Combined random space vector modulation for a variable speed drive using induction motor

A Fast Elitism Gaussian Estimation of Distribution Algorithm and Application for PID Optimization

Experiment Research on Five-Segment Type Space Vector Pulse Width Modulation for Permanent Magnetic Brushless DC Motor

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