Research Article  Open Access
Gang Li, "Realization of SVM Algorithm for Indirect Matrix Converter and Its Application in Power Factor Control", Advances in Power Electronics, vol. 2015, Article ID 740470, 10 pages, 2015. https://doi.org/10.1155/2015/740470
Realization of SVM Algorithm for Indirect Matrix Converter and Its Application in Power Factor Control
Abstract
Compared with ACDCAC converter, matrix converter (MC) has several advantages for its bidirectional power flow, controllable power factor, and the absence of large energy storage in dclink. The topology of MC includes direct matrix converter (DMC) and indirect matrix converter (IMC). IMC has received great attention worldwide because of its easy implementation and safe commutation. Space vector PWM (SVM) algorithm for indirect matrix converter is realized on DSP and CPLD platform in this paper. The control of the rectifier and inverter in IMC can be decoupled because of the intermediate dclink. The space vector modulation scheme for IMC is discussed and the PWM sequences for the rectifier and inverter are generated. And a twostep commutation of zero current switching (ZCS) in the rectifier is achieved. Input power factor of IMC can be changed by adjusting the angle of the reference current vector. Experimental tests have been conducted on a RBIGBT based indirect matrix converter prototype. The results verify the performance of the SVM algorithm and the ability of power factor correction.
1. Introduction
AC/AC conversion has two main types: ACDCAC converters and direct AC/AC converters. ACDCAC converters include the current and voltage source topologies with a capacitor or inductor in the dclink. Direct AC/AC converters include the cycloconverter of highpower applications and matrix converters in low power range [1]. Matrix converter has a compact structure without capacitor or inductor, which has received much attention in the academic and industrial fields worldwide in recent years [2–6]. Since Alesina and Venturini proposed a control method for matrix converter using a mathematical approach to generate the desired output voltage [7], the PWM algorithms for matrix converters become a research focus. New PWM strategies for matrix converters have been proposed in recent years [8–13]. Some researcher concentrated on the realization of the PWM schemes, such as dipolar modulation technique [8], SHEPWM [9], and beatless synchronous PWM [10]. The PWM strategies for matrix converter are also proposed to reduce the ripple in the input and output waveforms [11, 12]. In the highpower applications, indirect SVPWM for multimodular matrix converters is realized [13].
The topologies of matrix converter, including direct matrix converter and indirect matrix converter [14–16], are another research focus in AC/AC conversion. Compared with the former one, IMC has several advantages. (1) With a real dclink, the converter consists of two stages, a rectifier and an inverter. The control of the two stages can be decoupled and the control difficulty is lowered down. (2) With appropriate modulation method, zerocurrent switching commutation in the rectifier can be simply accomplished. The system efficiency is improved. (3) The number of power switches can be further reduced. (4) With the dclink, multioutput IMC can be realized [17, 18]. The topology of IMC is shown in Figure 1. The bidirectional switch in the rectifier stage is composed by two RBIGBTs.
The PWM strategies in [7–13] are proposed for DMC. In [19–22], the conventional PWM algorithm, based on two larger source line voltages, is proposed. The PWM period of the rectifier stage is divided in two segments to reduce the switching times and the harmonics of the input current. But these PWM strategies have no zero vectors. In [23–26], carrierPWM realization and overmodulation method for IMC are discussed.
In the applications of indirect matrix converter, [27] proposes IMC to control doubly fed induction generation for wind power system. IMC is used to control a microturbine generator [28]. A multimodular indirect matrix converter topology is proposed to be a frequency converter used in the mediumvoltage motion drive systems [29]. And three level neutralpointclamped indirect matrix converters are proposed in [30].
In this paper, the rectifier is controlled as a currentsource converter and inverter is controlled as a voltagesource converter. SVM is applied for the rectifier and SVPWM is applied for the inverter. The PWM sequence for indirect matrix converter is achieved. Twostep commutation of zerocurrent switching for the rectifier is presented. The principle of the input power factor correction for IMC is discussed. The design and implementation of indirect matrix converter prototype using RBIGBT are introduced. The experimental results are shown to verify the performance of the proposed PWM algorithm and the ability of PFC.
2. Space Vector Modulation of IMC
2.1. PWM Algorithm of IMC
The control of the rectifier and inverter for IMC can be decoupled because of the dclink. The rectifier is controlled as a currentsource converter, and the inverter can be seen as an inductive load in dclink, shown in Figure 2.
Three phase input currents can be defined as follows:
In (1), is the switch function. can be 1, 0, and −1, which are shown in Figure 3. The switching functions of the rectifier are shown in Table 1.

(a)
(b)
(c)
Current space vector can be defined as follows:
The principle of space vector modulation (SVM) is shown in Figure 4. is the reference current space vector. is the angle of .
According to the principle of space vector PWM,
In (4), is modulation index for the rectifier, which can be defined as
In order to ensure the sinusoidal input current, the modulation index cannot be larger than 1,
In order to maintain the input power factor as unity, phase angle of , should follow the phase angle of input space vector voltage , so the voltage of dclink is as follows:
In (9), , , and are the three phase voltages of input sides. In order to obtain the maximum voltage ratio of the rectifier, should be 1.
The inverter is controlled as voltage source converter, and the rectifier can be seen as a voltage source in dclink. The conventional SVPWM algorithm can be used in the inverter, shown in Figure 5:
In (10), is the period of a switching cycle. is the modulation index of inverter. , , and are the duty cycles of the zero vectors, vectors and , respectively. is the reference space voltage vector and is the voltage of dclink.
From (8) and (9), when the input voltages are symmetrical, the voltage of dclink is constant. The modulation index of inverter is determined by the reference output space voltage vector. The calculation of duty cycles , , and will be simple.
2.2. Commutation and PWM Sequence
Generally, a bidirectional switch in matrix converters is constructed by two IGBTs and two diodes or two RBIGBTs. Commutations between two bidirectional switches need four steps with voltage/current signal. Figure 6 is the process of fourstep commutation with voltage signal. , , , and are the times for fourstep commutation.
In IMC, the inverter is a conventional voltage source converter and its commutation is traditional. When the inverter is on zerovector state, the current of dclink is zero. The commutation of the bidirectional switches in the rectifier can be achieved during this period, and zerocurrent switching commutation can be realized. The PWM sequence of IMC is shown in Figure 7 and ZCS commutation is shown in Figure 8. and are the switching times for twostep commutation.
Compared with the conventional PWM algorithm [19–22], the proposed PWM algorithm increases one switching action in rectifier, which is a ZCS process. ZCS commutation is much simpler than fourstep commutation and it needs no voltage or current signals. So voltage or current sensor in dclink can be omitted.
2.3. Realization of SVM Algorithm and Commutation Method
In order to realize the SVM algorithm and commutation strategy, a control platform based on DSP and CPLD is implemented, shown in Figure 9. DSP TMS320F2812 of TI is to realize SVM algorithm and CPLD EPM9320LC8415 of Altera is to realize the commutation strategy for bidirectional switches in rectifier.
The input sectors Sci1~Sci6 and output sectors Svo1~Svi6 are determined with the angle of input voltage and output voltage with DSP. And 8 PWM signals, which are shown in Figure 10, are generated by SVM and SVPWM algorithms with DSP. The 8 PWM signals are not the drive signals for the IGBTs. A decoder for drive signals is needed. CPLD is used to decode drive signals from PWM sequences and realize twostep ZCS commutation. With the PWM signals PWM1–8, input sectors, and output sectors, the drive signals for the bidirectional switches can be shown as expression (11), where is the upper bridge and is the lower bridge, .
According to the SVM algorithm for rectifier, the commutation of bidirectional switches occurs between the upper bridges () and lower bridges (). From Figure 4, the input current vector will change to , and the commutation is to . The commutation process can be described by the state of RBIGBTs in the rectifier . The process of commutation is . Because the commutation is zerocurrent switching, the commutation of rectifier is the same as inverter. Only the dead time is needed:
3. Power Factor Control of IMC
According to the SVM algorithm, power factor of IMC can be controlled by changing the angle of the reference input current vector, shown in Figure 11. The phase difference of current vector and voltage vector is and power factor is .
It is assumed that, on the input side,
And the reference input currents are
The active power on input side is
From (14), is power angle. When , IMC absorbs reactive power. When , IMC generates reactive power.
From Figure 1, the inverter of IMC is voltage source converter. The voltage of dclink should be positive. Otherwise, the reverse recovery diode for IGBT will be shortcircuited and the semiconductor may be damaged.
The sectors of input current space vector can be divided by the angle of input voltage space vector, which is shown in Table 2.

According to Table 2, the corresponding relationship of input sector and input voltage interval is shown in Figure 12. Input sector I–VI is corresponding with voltage interval 1–6. In order to maintain the DClink voltage being positive, the relationship of line voltage and phase angle in each sector is shown in Table 3.

(a) Input voltage intervals
(b) Sector of input current space vector
In order to maintain the dclink voltage being positive, the regulation range of is . In the applications of power factor control, the parameter of input filters has effect of power factor control. The simplified circuit of input filters is shown in Figure 13.
In Figure 13, is input source voltage vector. is input source current vector. and are input voltage and current vector. Because will be influenced by SVM algorithm, is used as the reference input voltage vector. is the reference input current vector. The parameters of input filters are mH, μF. Assume that input source voltage vector is and input current vector is . is decided by the load current and can be calculated with the modulation index of IMC and the amplitude of output currents.
From Figure 13, the differential equations for filters can be built as follows:
Then, the input source current is as follows:
Considering the fundamental part of input current and ignoring harmonics current and dynamic process, input source current is expressed as . From (16),
The amplitude and angle of input source current can be got as follows:
From (18), power angle is related to the capacitor of filters, the amplitude of load current, and the angle of reference input current vector.
4. Experimental Results
The prototype of RBIGBT based indirect matrix converter has been developed, shown in Figure 14. It mainly includes power circuit, RBIGBT gate drive circuit, signal processing circuit, CPLD and DSP based control board, and heat sink. The rectifier is composed of the RBIGBT module 18MBI100W060A from Fuji Electric [31].
In order to verify the proposed PWM algorithm and sequence, experimental tests on IMC prototype have been carried out. The parameters of the input filters are mH, μF, and Ω. The sampling frequency is 10 kHz. Input voltage is 50 Hz and output frequency is 25 Hz. The load is an induction motor.
Figure 15 gives the experimental waveforms of SVM algorithm. The THD of output current is 1.06%. The THD of input current is 6.39%. Figure 16 shows the voltage of the bidirectional switch and dclink current when the commutation of bidirectional switches occurs. It can be seen that dclink current is around zero at the commutation point, which means that zerocurrent switching is realized.
(a) Input phase voltage (25 V/div) and current (5 A/div)
(b) Output linetoline (25 V/div) and current (5 A/div)
The waveforms of input voltage and current when the power factor angle is setting as −2π/15, zero, and 2π/15 are shown in Figures 17–19, respectively.
The power factor angle of experiment can be shown in Table 4. The theoretical value of power factor angle can be calculated by expression (18).

5. Conclusions
In this paper, a SVM algorithm for indirect matrix converter with zerocurrent switching commutation for bidirectional switches is realized based on a control platform of DSP and CPLD. SVM for the rectifier and SVPWM for the inverter stage are described. PWM sequence of the SVM algorithm can achieve twostep ZCS commutation for the rectifier bidirectional switches. The realization of PWM sequence by DSP and decoding process for drive signals of RBIGBTs by CPLD are explained in detail.
Based on the modulation strategy, input power factor correction of IMC is discussed. Because the inverter of IMC is VSI, the dclink voltage should be positive and the regulation range of power angle is . The influence of the parameters in filters is analyzed. A prototype of RBIGBT based indirect matrix converter is implemented. The experimental results show the performance of SVM algorithm and validate the analysis of power factor control of IMC.
Conflict of Interests
The author declares that there is no conflict of interests regarding the publication of this paper.
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Copyright © 2015 Gang Li. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.