A Study of FPGA-based System-on-Chip Designs for Real-Time Industrial Application

Al-Mahmood, Ali; Agyeman, Michael Opoku

doi:10.5120/ijca2017913544

Cited by 6 publications

(3 citation statements)

References 27 publications

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“…To application necessitated a realtime and low latency Ethernet communication, remote configuration and storage of the deposition programs, and the availability and customization of a large number of I/Os. Ali Al-Mahmood, Michael OpokuAgyeman, [2017], [11],The main goal of this paper was to explain the FPGA's technologies and to illustrate the uses of FPGAs in industries. This paper showed the benefits of using FPGA and how it is going to help industries to produce the best products.…”

Section: Literature Surveymentioning

confidence: 99%

A Review on System-on-Chip SoC Designs for Real-Time Industrial Application

Shirolkar¹,

Patil²

2017

IJTSRD

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Now-a-days System-on-a-chip (SoC) technology is used in small, increasingly complex consumer electronic devices. A system-on-a-chip (SoC) is a microchip with all the necessary electronic circuits and parts for a given system, such as a Smartphone or wearable computer, on a single integrated circuit (IC). Day by day the scope & use of the electronics concepts in industrial field is increasing step by step. In this paper the review of newly developed concepts is done for the SoC design for real time industria This paper also reviews a power and area efficient for industrial application. Further the study of SoC designs for real time industrial application has been carried out. Keyword: SoC (System on chip), IC(integrated circuit) I. INTRODUCTION Modern industrial control systems need to comply to different requirements to make a high and fast market impact. From the designer's point of view, all requirements can be summarized into two key factors: improve quality (in terms of performance, resour usage, power dissipation, etc.) and reduce time market. Modern industries systems need to respond to various requirements to compete on their products which must be fast, high performing, reliable and very flexible. Another key issue is the cost, in minimize it, time-to market must be shortened and the price of controller device should be cheap. The cost reduction, increasing the complexity of the control algorithms and reduce the time execution are the most challenging aspects for a new industrial control system @ IJTSRD |

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Section: Literature Surveymentioning

confidence: 99%

A Review on System-on-Chip SoC Designs for Real-Time Industrial Application

Shirolkar¹,

Patil²

2017

IJTSRD

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“…Some real-time Int J Reconfigurable & Embedded Syst ISSN: 2089-4864  applications require devices that are low cost, easy to move and lead to wearable devices. System on chip (SoC) is an attractive alternative to be developed in digital signal processing applications [16]. However, the implementation calculation on SoC is difficult and encounters many obstacles in its design [17].…”

Section: Introductionmentioning

confidence: 99%

Implementation of first order statistical processor on FPGA for feature extraction

Hadiyoso,

Ramdani,

Irawati

et al. 2024

IJRES

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Statistical calculations on signals commonly used in feature extraction. In software processing, statistical computation is an easy task. However, providing a computer requires high costs for simple statistical processing. Another consideration is the need for implementation with real-time and portable processing. Therefore, an alternative device is needed, one of which is the field programmable gate array (FPGA). FPGA is a logic circuit board that can be reconfigured according to computing needs. FPGA can also be used as a prototyping of electronic chips. However, implementing statistical formulas in FPGA is interesting in developing its architecture. Therefore, this research proposes a logic circuit design that can be used for first-order statistical calculations. Statistical parameters include the mean, variance, standard deviation, skewness, and kurtosis. The validation test was performed on the electrocardiogram (ECG) signal series and compared with manual calculations. Validation shows that the mean and variance has very high accuracy with an average error of less than 0.06%.

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“…In general, in microcontroller implementations, a fixed data size can be exploited, limiting the model's flexibility. FPGA platforms offer some advantages, since performing real-time estimations through ML algorithms requires a large amount of computational power, which an FPGA can easily provide [38,39]. Moreover, the hardware flexibility and reconfigurability provided by FPGAs allow the implementation of multiple instances of the same algorithm in parallel.…”

Section: Introductionmentioning

confidence: 99%

FPGA Implementation of an Ant Colony Optimization Based SVM Algorithm for State of Charge Estimation in Li-Ion Batteries

Stighezza¹,

Bianchi²,

Munari³

2021

Energies

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Monitoring the State of Charge (SoC) in battery cells is necessary to avoid damage and to extend battery life. Support Vector Machine (SVM) algorithms and Machine Learning techniques in general can provide real-time SoC estimation without the need to design a cell model. In this work, an SVM was trained by applying an Ant Colony Optimization method. The obtained trained model was 10-fold cross-validated and then designed in Hardware Description Language to be run on FPGA devices, enabling the design of low-cost and compact hardware. Thanks to the choice of a linear SVM kernel, the implemented architecture resulted in low resource usage (about 1.4% of Xilinx Artix7 XC7A100TFPGAG324C FPGA), allowing multiple instances of the SVM SoC estimator model to monitor multiple battery cells or modules, if needed. The ability of the model to maintain its good performance was further verified when applied to a dataset acquired from different driving cycles to the cycle used in the training phase, achieving a Root Mean Square Error of about 1.4%.

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A Study of FPGA-based System-on-Chip Designs for Real-Time Industrial Application

Cited by 6 publications

References 27 publications

A Review on System-on-Chip SoC Designs for Real-Time Industrial Application

A Review on System-on-Chip SoC Designs for Real-Time Industrial Application

Implementation of first order statistical processor on FPGA for feature extraction

FPGA Implementation of an Ant Colony Optimization Based SVM Algorithm for State of Charge Estimation in Li-Ion Batteries

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