scholarly journals An Adaptive Synchronous Rectification Driving Strategy for Bidirectional Full-Bridge LLC Resonant Converter

Energies ◽  
2021 ◽  
Vol 14 (8) ◽  
pp. 2298
Author(s):  
Chun-Yu Liu ◽  
Yi-Hua Liu ◽  
Shun-Chung Wang ◽  
Zong-Zhen Yang ◽  
Song-Pei Ye
Keyword(s):  
Digital Signal Processor ◽  
Low Cost ◽  
Digital Signal ◽  
The Body ◽  
Resonant Converters ◽  
Resonant Converter ◽  
Synchronous Rectification ◽  
Llc Resonant Converter ◽  
Source Voltage ◽  
Driving Signal

In this study, an adaptive driving method for synchronous rectification in bidirectional full-bridge LLC resonant converters used in railway applications is proposed. The drain to source voltage of the synchronous rectifier is utilized to detect the conduction of the body diode, and a suitable driving signal for synchronous rectification is generated accordingly. The proposed driving scheme is simple and can be realized using a low-cost digital signal processor (DSP). According to the experimental results, which averaged 0.4625% and 1.097%, improvement can be observed under charging and discharging mode, respectively.

Low Noise EEG Amplifier Board for Low Cost Wearable BCI Devices

2016 ◽  
Vol 5 (2) ◽  
pp. 17-28
Author(s):  
Ravim ◽  
Suma K. V.
Keyword(s):  
Noise Reduction ◽  
Digital Signal Processor ◽  
Low Cost ◽  
Processing System ◽  
Digital Signal ◽  
Low Noise ◽  
Digital Data ◽  
Signal Processing System ◽  
Analog To Digital ◽  
Reduction Techniques

Designing a real-time BCI device requires an Electroencephalogram (EEG) acquisition system and a signal processing system to process that acquired data. EEG acquisition boards available in market are expensive and they are required to be connected to computer for any processing work. Various low cost Digital Signal Processor (DSP) boards available in market come with internal Analog to Digital converters and peripheral interfaces. The idea is to design a low cost EEG amplifier board that can be used with these commercially available DSP boards. The analog data from EEG amplifier can be converted to digital data by DSP board and sent to computer via an interface for algorithm development and further control operations. EEG amplifiers are highly affected by noise from environment. Proper noise reduction techniques are implemented and simulated in circuit design. Each filter stage and noise reduction circuit is evaluated for a low noise design.

scholarly journals Design of an Isolated Bidirectional Symmetric Resonant Converter

2020 ◽  
Vol 10 (22) ◽  
pp. 8144
Author(s):  
Yih-Her Yan ◽  
Hung-Liang Cheng ◽  
Shun-Yu Chan ◽  
Yu-Da Chen ◽  
Yong-Nong Chang
Keyword(s):  
Conversion Efficiency ◽  
Digital Signal Processor ◽  
Power Conversion ◽  
Digital Signal ◽  
Resonant Converter ◽  
Capacity Design ◽  
Dual Active Bridge ◽  
Reverse Conversion ◽  
Converter Design ◽  
Resonant Mechanism

An isolated type bidirectional resonant converter is presented in this paper. Using a dual active bridge as the main topology and integrating symmetric resonant mechanism, the developed converter features an isolated type bidirectional resonant converter with bidirectional power conversion and electrical isolation capabilities to ensure working security and stability. The application of a symmetric resonant scheme enables the control range of input and output voltages to be widened and achieves soft switching during bidirectional power conversion. A converter design process covering all the bases is exhibited in this work. With the digital signal processor (DSP) TMS320F28335 being employed as the control core, the developed isolated bidirectional resonant converter can effectively handle the power conversion between the simulated 400 V DC grid and the energy storage battery ranging from 280 to 403 V. Based on a 1 kW capacity design, the test data reveal that the forward conversion efficiency from grid to battery can reach 93.25%, and the reverse conversion efficiency from battery to grid is as high as 94.60%.

scholarly journals Decimation of Delta-Sigma-Modulated Signals Using a Low-Cost Microcontroller

2021 ◽  
Author(s):  
Markeljan Fishta ◽  
Franco Fiori
Keyword(s):  
Digital Signal Processor ◽  
High Speed ◽  
Low Cost ◽  
Digital Signal ◽  
Experimental Tests ◽  
General Purpose ◽  
Data Conversion ◽  
Clock Frequency ◽  
Main Challenge ◽  
Modulated Signals

Abstract$$\varDelta \varSigma $$ Δ Σ analog-to-digital converters (ADCs) are largely used in sensor acquisition applications. In the last few years, standalone $$\varDelta \varSigma $$ Δ Σ modulators have become increasingly available as off-the-shelf parts. To build a complete ADC, a standalone modulator has to be paired with some advanced elaboration unit, such as a field programmable gate array (FPGA) or a digital signal processor (DSP), which is needed for the implementation of the decimation filter. This work investigates the use of low-cost, general-purpose microcontrollers for the decimation of $$\varDelta \varSigma $$ Δ Σ -modulated signals. The main challenge is given by the clock frequency of the modulator, which can be in the range of a few $$\hbox {MHz}$$ MHz . The proposed technique deals with this limitation by employing two serial peripheral interface (SPI) modules in a time-interleaved configuration. This approach allows for continuous acquisition and elaboration of relatively high-speed, digital signals. The technique has been applied to a case study, and a data conversion system has been practically realized. The performance of the proposed filter is compared to that of a digital filter, present on board a commercial microcontroller, and the results of experimental tests are provided.

scholarly journals Non-isolated LLC resonant DC-DC converter with balanced rectifying current and stress

2020 ◽  
Vol 18 (2) ◽  
pp. 698
Author(s):  
Abdulhakeem Mohammed Dobi ◽  
Mohd Rodhi Sahid
Keyword(s):  
Experimental Result ◽  
Resonant Converters ◽  
Resonant Converter ◽  
Secondary Current ◽  
Zero Current Switching ◽  
Zero Current ◽  
Llc Resonant Converter ◽  
Resonant Inductor ◽  
Current Unbalance ◽  
Secondary Side

<p><span>In isolated type LLC resonant converters, transformer leakage inductances can be merged with the resonant inductor to extend the ZVS capability of the switches apart from isolation and voltage scaling. However, the transformer presents a resonant imbalance in the secondary side leading to secondary current unbalance, an increase in RMS value of the secondary current and increase thermal stress. This paper proposed a half-bridge non-isolated LLC resonant converter with a balanced rectifying current and stress in the rectifier diodes. The proposed converter can achieve the most advantages of isolated LLC converters, such as ZVS and low MOSFET turn-off loss. By the non-isolation method, secondary current and, transformer loss is significantly reduced. In addition, rectifier diodes operate with zero current switching and balanced rectifying current and stress over the entire operating range. The proposed non-isolated structure is verified by the experimental result with a 60W LLC resonant converter. </span></p>

scholarly journals Experimental implementation PWM strategy for dual three-phase PMSM using 12-sector vector space decomposition applied on electric ship propulsion

2020 ◽  
Vol 11 (4) ◽  
pp. 1701
Author(s):  
Mhammed Hasoun ◽  
Aziz El Afia ◽  
Mohamed Khafallah ◽  
Karim Benkirane
Keyword(s):  
Vector Space ◽  
Digital Signal Processor ◽  
Pulse Width Modulation ◽  
Low Cost ◽  
Digital Signal ◽  
Conventional Technique ◽  
Ship Propulsion ◽  
Space Decomposition ◽  
Three Phase ◽  
Electric Ship

The current paper aims at presenting and examining an implementation on a digital signal processor (DSP) of the conventional space vector pulse width modulation (CSVPWM) so as to control the dual three phase permanent magnet synchronous motors (DTP-PMSM) drives applied on electric ship propulsion. It is also an attempt to accomplish a developed control of this technique based on vector space decomposition (VSD) strategy. By this strategy, the analysis and the control of the machine are achieved in three two-dimensional orthogonal subspaces. Among the 12 voltage vectors having maximum, the conventional technique namely the adjacent two-vectors (12SA2V) is chosen. Thereby, the test platform allows the implementation of the chosen vectors which are modeled on MATLAB/Simulink using block diagrams and the automatically generated code which is targeted in the DSP card processor. Simulation and experimental results have exposed the efficiency of the proposed test bench of 5 KW prototype machine by using a low-cost TMS32F28379D.

scholarly journals Microcontroller-Based Direct Torque Control Servodrive

2020 ◽  
Vol 2020 ◽  
pp. 1-11
Author(s):  
Rafael Rodríguez-Ponce ◽  
Francisco Gustavo Mota-Muñoz
Keyword(s):  
Motor Control ◽  
Digital Signal Processor ◽  
Material Handling ◽  
Engineering Students ◽  
Low Cost ◽  
Complex Structure ◽  
Direct Torque Control ◽  
Postgraduate Education ◽  
Digital Signal ◽  
Torque Control

Robot technology has become an integral part of the automotive industry in several tasks such as material handling, welding, painting, and part assembly. Therefore, the knowledge and skills to control the electric motors in these manipulators are essential for undergraduate electrical engineering students. Currently, the digital signal processor (DSP) is the core chip in industrial motor-control drives; however, the implementation of DSP control algorithms can be quite challenging for an experienced programmer, even more so for the novice. Considerable research has been done on this topic, although authors usually focus on DSP-based motor drives using popular control techniques such as field-oriented control (FOC). Although highly efficient, this approach is usually reserved for postgraduate education due to its complex structure and functionality. In this paper, the authors present a modular servodrive design on a low-cost, general-purpose microcontroller using the direct torque control (DTC) method, an alternative known for greater simplicity and torque response, compared with FOC. The system design was based on Micropython language allowing the software structure to be more manageable and the code to be more understandable. This design will be useful to undergraduates and researchers with interests in motor control design.

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