An Improved Hybrid Space Vector PWM Technique for IM Drives

Abstract

In this paper, an improved hybrid space vector pulse width modulation (HSVPWM) technique is proposed for IM (induction motor) drives. The basic principle involved in the proposed random pulse width modulation (RPWM) cuddled SVPWM is amalgamating the pre-calculated switching timings for various sections of hexagonal space vector boundary and the random selection of carrier between two triangular signals, in order to disband acoustic switching noise spectrum with improved fundamental component. The arbitrary selection between triangular carriers, which is decided by digital signal states (Low or High) of the linear feedback shift register (LFSR) based pseudo random binary sequence (PRBS) generator. The SVPWM offers a control degree of freedom in terms of positioning of vectors inside every sampling interval and hence it has six possible variants of the voltage vectors arrangements in each sector. The developed HSVPWM is thoroughly analyzed in using the MATLAB® based simulation for all SVPWM variants. From the simulation and experimental results viz. harmonic spectrum, harmonic spread factor (HSF), total harmonic distortion (THD) etc., and the superiority of the proposed scheme such as better utilization of DC bus and the randomization of the harmonic power are evidenced. For the practical implementation, Xilinx XC3S500E FPGA device has been used.

An Alternative Level Enhanced Switching Angle Modulation Schemes for Cascaded H Bridge Multilevel Inverters

“…The SVM is superior to the SPWM because of (i) better DC bus utilization. (ii) reduction in the common mode voltage, (iii) improvement in the output voltage with harmonic reductions [31]. The earlier attempts have revealed the fact that the inherent problem of unbalance in DC voltages of neutral point clamped MLI (NPC-MLI) could be solved through a virtual SVM, in which medium vectors are dodged.…”

Dynamic and Adjustable New Pattern Four-Vector SVPWM Algorithm for Application in a Five-Phase Induction Motor

“…More harmonics, larger noise and switch loss, and lower DC bus utilization are the main problems with SVPWM if it is not implemented properly. Many SVPWM control methods have been proposed to solve the above problems in different applications [8][9][10][11][12][13][14][15][16][17][18]. A new coordinate system SVPWM method was developed to eliminate common-mode voltage for multi-level inverters [8]; a five-phase SVPWM algorithm based on a modulation function was used to improve the computing speed and precision, replacing the traditional multiplication and division operation [9,10]; zero-sequence signal injection for a carrier-type multiphase inverter was used to improve PWM wave characteristics and reduce the influence of harmonics on the system [11]; reference voltage decomposition was used to calculate a multi-level space vector to simplify calculations and optimize the switching state [12]; a model of a three-phase VSI (voltage source inverter) and CSI (current source inverter) was presented and the THD (total harmonic distortion) of two models was analyzed based on the SVPWM technique [13]; and a novel SVPWM control technique for a nine-phase induction motor was used to improve the linear modulation region and create a better harmonic profile [14].…”

“…A new coordinate system SVPWM method was developed to eliminate common-mode voltage for multi-level inverters [8]; a five-phase SVPWM algorithm based on a modulation function was used to improve the computing speed and precision, replacing the traditional multiplication and division operation [9,10]; zero-sequence signal injection for a carrier-type multiphase inverter was used to improve PWM wave characteristics and reduce the influence of harmonics on the system [11]; reference voltage decomposition was used to calculate a multi-level space vector to simplify calculations and optimize the switching state [12]; a model of a three-phase VSI (voltage source inverter) and CSI (current source inverter) was presented and the THD (total harmonic distortion) of two models was analyzed based on the SVPWM technique [13]; and a novel SVPWM control technique for a nine-phase induction motor was used to improve the linear modulation region and create a better harmonic profile [14]. The random SVPWM method has attracted attention as a solution in recent years [15][16][17][18]. The random pulse modulation technique, the fixed sample frequency and variable switching frequency SVPWM strategies, and the dual random technique are the main research topics.…”

“…The random pulse modulation technique, the fixed sample frequency and variable switching frequency SVPWM strategies, and the dual random technique are the main research topics. A hybrid SVPWM technique was used to obtain an optimum switching sequence and reduce the instantaneous voltage error for a three-phase motor [15], a random selection of carriers between two triangular signals and random pulse-width modulation were combined to improve DC bus utilization and randomization of the harmonic power in a three-phase motor [16], a random forest regression SVPWM algorithm was proposed to improve the performance of a motor [17], and a non-sinusoidal random SVPWM strategy based on a randomized switching time delay and randomized distribution of the zero vector was used to improve the high-frequency performance of a five-phase motor and to realize harmonic dispersion [18]. Improving the performance of five-phase motors based on SVPWM strategies is still an active research area.…”