Hardware implementation of fuzzy logic MPPT controller on a FPGA platform

Bouselham, Loubna; Hajji, M.; Hajji, Bekkay; Mehdi, Abdelmalek El; Hajji, Houssem

doi:10.1109/irsec.2015.7455090

Cited by 5 publications

(2 citation statements)

References 4 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…To unlock the potential of fuzzy logic based systems in real life applications, practical platforms with low energy consumption and high computing power are crucially needed to implement them. Authors in [13], worked on utilizing FPGAs in implementing a fuzzy logic controller to track the maximum power point of the photovoltaic system. The authors used the Very High-Speed Hardware Description Language (VHDL) to design and implement a Mamdani-type [13] fuzzy controller.…”

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

Fuzzy Logic Based Hardware Accelerator with Partially Reconfigurable Defuzzification Stage for Image Edge Detection

Kurdi

Grantner

Abdel‐Qader

2017

International Journal of Reconfigurable Computing

View full text Add to dashboard Cite

In this paper, the design and the implementation of a pipelined hardware accelerator based on a fuzzy logic approach for an edge detection system are presented. The fuzzy system comprises a preprocessing stage, a fuzzifier with four fuzzy inputs, an inference system with seven rules, and a defuzzification stage delivering a single crisp output, which represents the intensity value of a pixel in the output image. The hardware accelerator consists of seven stages with one clock cycle latency per stage. The defuzzification stage was implemented using three different defuzzification methods. These methods are the mean of maxima, the smallest of maxima, and the largest of maxima. The defuzzification modules are interchangeable while the system runs using partial reconfiguration design methodology. System development was carried out using Vivado High-Level Synthesis, Vivado Design Suite, Vivado Simulator, and a set of Xilinx 7000 FPGA devices. Depending upon the speed grade of the device that is employed, the system can operate at a frequency range from 83 MHz to 125 MHz. Its peak performance is up to 58 high definition frames per second. A comparison of this system’s performance and its software counterpart shows a significant speedup in the magnitude of hundred thousand times.

show abstract

Section: Introductionmentioning

confidence: 99%

“…Authors in [13], worked on utilizing FPGAs in implementing a fuzzy logic controller to track the maximum power point of the photovoltaic system. The authors used the Very High-Speed Hardware Description Language (VHDL) to design and implement a Mamdani-type [13] fuzzy controller.…”

Section: Introductionmentioning

confidence: 99%