Power Electronics Laboratory Education using ARM Cortex M4 32-bit Microcontroller

Chaturvedi, Pradyumn; Mulla, Mahmadasraf A.; Patro, Siba Kumar

doi:10.1109/pedes.2018.8707575

Cited by 4 publications

(3 citation statements)

References 10 publications

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“…40 For instance, STM32-MAT/TARGET is a MATLAB/Simulink package for MCUs, which is provided by STMicroelectronics company. 40 Similarly, the Waijung Blockset environment can be used in model-driven MCUs programming method, 31,32 which is also utilized in this paper. As mentioned, in this method, the simulated MATLAB/ Simulink model is directly compiled and uploaded to the ARM microcontroller memory via USB interface.…”

Section: Model-driven Processor Programming Methods and Implementatio...mentioning

confidence: 99%

“…In Yarikkaya and Vardar, 31 rapid prototype development of single-phase grid-connected PV inverter using STM32F4 and MATLAB has been presented. Also, in Chaturvedi et al, 32 the implementation of educational power electronic converters by Waijung Blockset is presented. With the help of this Blockset in Suhel et al, 33 the various scalar modulation techniques for three-phase drive including sinusoidal PWM (SPWM), zero sequence PWM (ZSPWM), conventional space vector modulation (CSVM), and discontinuous SVM (DSVM) have been experimentally analyzed and compared.…”

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confidence: 99%

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A simplified implementation of NLSPWM control strategy for SqZS inverter via model‐driven processor programming method

Noroozi

Haghjoo

Javadi

et al. 2022

Circuit Theory & Apps

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The transformerless single‐phase semi‐quasi‐Z‐source inverter (SqZSI) has a nonlinear gain curve and requires nonlinear sinusoidal pulse width modulation (NLSPWM) to achieve sinusoidal voltage at the output AC terminal. Although the SqZSI provides some advantages, for example, leakage current elimination, doubly grounded, low volume, and low cost, it needs nonlinear modulation control. The NLSPWM is relatively complex among single‐phase modulation methods and it is considered a disadvantage for this topology, so this paper presents a model‐driven processor programming method that facilitates the implementation of NLSPWM. The developed programming method utilizes a Blockset environment in MATLAB/Simulink to implement NLSPWM, and then the obtained model is compiled and directly uploaded to the ARM Cortex‐M4‐based STM32F4 processor. In this approach, there is no need for coding in C programming language, and only the Simulink mathematical blocks are used so it simplifies the implementation process. The same Simulink model used to model the inverter control is slightly edited for implementation, which accelerates the debugging cycle. Experimental results of 100 W SqZSI confirm the desired and accurate performance of this low‐cost method. The qualitative comparison of the processor programming methods and the performance comparison of the developed SqZSI based on this approach verify the simplicity of implementation.

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Section: Model-driven Processor Programming Methods and Implementatio...mentioning

confidence: 99%

mentioning

confidence: 99%

A simplified implementation of NLSPWM control strategy for SqZS inverter via model‐driven processor programming method

Noroozi

Haghjoo

Javadi

et al. 2022

Circuit Theory & Apps

View full text Add to dashboard Cite

show abstract

“…Besides [1]- [18], having reviewed additional papers on power electronics labs [19]- [25], and on other engineering labs ( [26]- [30]), following limitations or gaps were identified:…”

Section: Introductionmentioning

confidence: 99%

Industrial R&D Laboratory for Switch-Mode Power Supplies

Vračar

2024

IEEE Access

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In literature covering laboratories for switch-mode power supplies (SMPS) the focus was on university ones and learning outcome of their students. And there were almost no publications by authors from industry. Moreover, in a small number of older papers, description of the lab setup or equipment was provided. This paper addressed missing gaps by presenting an industrial laboratory for SMPS. Different aspects like lab structure, organization, procedures, equipment and software resources, calibration and safety, and typical standards used for hardware development, are covered comprehensively. The SMPS lab serves for development of dc-dc converters for commercial project(s) and for research. The developed dcdc converters are used as auxiliary power supplies (APS) of inductive charging systems. Additional investments in the lab, SMPS related, during period of 1.5 years, were paid-off quickly since the APS was project blocker. Side benefits and outcomes were created by publishing research papers that targeted industry and academia thus bridging the gap between the two. The publications increased company's visibility in academia, created an opportunity for a cooperation project, and served as partial documentation for engineers. It was also shown that investments in equipment and software are not enough. And that one has to invest in knowledge of engineers through buying books, attending seminars, visiting trade fairs, memberships, and subscriptions. Hence, notes on learning of power electronics were given too. Several results of applied research activities are presented to demonstrate lab capabilities. They were characterization of custom-designed magnetic parts at high operating temperatures for operating current range, and solutions for the APS with different flyback topologies. A comparison with few university labs revealed large difference in resources and outcomes in favor of the university ones. But differentiation of our industrial lab to them was covered as well.

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Lyapunov stability analysis and FIL implementation for boundary‐based hybrid controller in boost converter

Patel,

Shah

2024

Adv Control Appl

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This paper presents a comprehensive stability analysis of the boundary‐based hybrid control (BBHC) algorithm designed for boost converter. The stability assessment is carried out utilizing multiple Lyapunov functions, addressing both continuous conduction mode (CCM) and discontinuous conduction mode (DCM) operation. The boost converter is modeled as a hybrid automaton to capture its dynamic behavior accurately. Through rigorous Lyapunov stability analysis, this study demonstrates the effectiveness of the BBHC algorithm in ensuring stable operation of the boost converter across various operating modes. Additionally, the proposed control algorithm's validation is conducted using the FPGA‐in‐the‐loop (FIL) technique, highlighting its efficiency and robustness in real‐world applications. This research contributes valuable insights into the design and implementation of stable control strategies for boost converter, emphasizing the practical utility of the BBHC algorithm with FIL for enhanced performance and reliability in power electronics systems.

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Power Electronics Laboratory Education using ARM Cortex M4 32-bit Microcontroller

Cited by 4 publications

References 10 publications

A simplified implementation of NLSPWM control strategy for SqZS inverter via model‐driven processor programming method

A simplified implementation of NLSPWM control strategy for SqZS inverter via model‐driven processor programming method

Industrial R&D Laboratory for Switch-Mode Power Supplies

Lyapunov stability analysis and FIL implementation for boundary‐based hybrid controller in boost converter

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