A novel SOSMC based SVPWM control of Z-source inverter for AC microgrid applications

Sangari, A.; Umamaheswari, R.; Umamaheswari, M.; B, Lekshmi Sree

doi:10.1016/j.micpro.2020.103045

Cited by 8 publications

(9 citation statements)

References 13 publications

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“…As can be realized, M s is an effective way to measure the robustness of the system against modeling uncertainties, in which the lower the value of M s is, the more robust the system is. Additionally, there is a correlation between M s and the gain and phase margins, which guarantees the margins given by (23) based on (22) [34].…”

Section: Robust Lqi Controller Designmentioning

confidence: 86%

“…On the other hand, it was pointed out that sensitivity to model errors could be expressed as the largest value of the sensitivity function [33]. In this regard, the maximum sensitivity (M s ) was defined as the inverse of the shortest distance from the Nyquist curve of the open-loop transfer function L(jω) to the critical point (−1 + j0) in the complex plane [34], as given by (22).…”

Section: Robust Lqi Controller Designmentioning

confidence: 99%

“…Variations of the dc-link voltage caused can be further suppressed by using dual-loop methods with an additional PI control loop [19]. Finally, nonlinear control approaches, for instance, the neural network control [20], sliding mode control [21,22], fuzzy control [23], model predictive control [24], and adaptive control [25] have also been presented.…”

Section: Introductionmentioning

confidence: 99%

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Optimal Robust LQI Controller Design for Z-Source Inverters

et al. 2020

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This paper investigates the linear quadratic integral (LQI)-based control of Z-source inverters in the presence of uncertainties such as parameter perturbation, unmodeled dynamics, and load disturbances. These uncertainties, which are naturally available in any power system, have a profound impact on the performance of power inverters and may lead to a performance degradation or even an instability of the system. A novel robust LQI-based design procedure is presented to preserve the performance of the inverter against uncertainties while a proper level of disturbance rejection is satisfied. The stability robustness of the system is also studied on the basis of the maximum sensitivity specification. Moreover, the bat algorithm is adopted to optimize the weighting matrices. Simulation results confirm the effectiveness of the proposed controller in terms of performance and robustness.

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Section: Robust Lqi Controller Designmentioning

confidence: 86%

Section: Robust Lqi Controller Designmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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Optimal Robust LQI Controller Design for Z-Source Inverters

et al. 2020

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“…The simulation waveform was shown in Figure 7. The above was the realization of the design of a 1-bit dead-band controller, and a total of 6-channel signals were required to make a dead-band delay, so a top-level file [6][7][8] was designed to use a 1-bit dead-band controller As the underlying module, the component is instantiated 6 times.…”

Section: Dead Zone Control Modulementioning

confidence: 99%

“…The research based on the SVPWM waveform generator once became a research hotspot of scholars at home and abroad [1][2][3][4][5][6][7][8][9][10][11][12][13][14][15]. The traditional SVPWM waveform generator was difficult to substantially improve the control accuracy of the system due to the rough control scheme and simple control means [1].…”

Section: Introductionmentioning

confidence: 99%

The Design of SVPWM Waveform Generator Based on CPLD_DSP

Li¹,

Li²

2020

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Space vector pulse width modulation (SVPWM) control technology could obtain quasi circular rotating magnetic field by switching the space voltage vector of the inverter. Under the condition of low switching frequency, the performance of AC motor was better than that of sine wave pulse width modulation. When this technology was applied to inverter control system, better output voltage waveform could be obtained than conventional six step waveform. And in order to further improve the control performance of the motor, it was very necessary to design SVPWM waveform generator. The design of SVPWM waveform generator based on Complex Programmable Logic Device and Digital Signal Processing (CPLD_DSP) was introduced in the article. The main idea of SVPWM was to synthesize reference voltage vector by switching space voltage vector of inverter. Time holding data and sector number could be calculated from coordinate switch of Voltage gathered from inverter by DSP. And the data was sent into CPLD. SVPWM waveform was generated by state machine programed in VHDL. Finally program was download in CPLD chip named EPM1270T144C5N. The transformation from time signal to SVPWM switch signal was finished successfully. The three phrase output signal had good coherence. Thus the controlling function of the motor control system was improved in a certain extent.

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