2008
DOI: 10.1109/tie.2007.911946
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A Stochastic-Based FPGA Controller for an Induction Motor Drive With Integrated Neural Network Algorithms

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Cited by 103 publications
(49 citation statements)
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“…Hence, a wide range of complex and intelligent controller designs have been recently developed, with applications in industry [66][67][68][69][70]. A significant number of them target FPGAs, due to the rapid prototyping features and the flexibility offered by FPGAs, especially through the recent availability of microprocessor or DSP cores, allowing hardware software co-design and implementation [71].…”
Section: Iv-fpga Controllers Based On Artificial Intelligencementioning
confidence: 99%
“…Hence, a wide range of complex and intelligent controller designs have been recently developed, with applications in industry [66][67][68][69][70]. A significant number of them target FPGAs, due to the rapid prototyping features and the flexibility offered by FPGAs, especially through the recent availability of microprocessor or DSP cores, allowing hardware software co-design and implementation [71].…”
Section: Iv-fpga Controllers Based On Artificial Intelligencementioning
confidence: 99%
“…This becomes difficult with the software computation environment. A hardware control system using a field programmable gate array (FPGA) has been reported [16]- [19]. One disadvantage of FPGAs is that they need many resources for complex mathematical operations since they are not arithmetic-oriented like DSPs [20].…”
Section: Principle Of Load Emulationmentioning
confidence: 99%
“…There are many approaches regarding both the controller type (ranging from neural networks [3], [4], [5] and fuzzy logic [6], [7] to classical PID (proportional-integral-derivative) based control algorithms) and the implementation (ranging from pure hardware implementations [3] to combined hardware-software [6], [8] or pure software solutions using soft processor intellectual property (IP) cores [1], [9], [10]). …”
Section: Introductionmentioning
confidence: 99%