Implementation of FPGA-based real time novel chaotic oscillator

Koyuncu, İ̇smail; Özcerit, Ahmet Turan; Pehlivan, İ̇hsan

doi:10.1007/s11071-014-1272-x

Cited by 95 publications

(48 citation statements)

References 28 publications

Supporting

Mentioning

Contrasting

Unclassified

Order By: Relevance

“…This method is of the advantages of short demanded data and the advantages of strong antiinterference capability. In practice, it often be used to a diagnostic criterion,and already have tried and is a huge success in the fields of atmospheric research [14], mechanical equipment fault diagnosis [15], telecommunications [16,17], power transmission [18]. Although ApEn method can identify dynamic structure mutation of time series, it will not be able to give jump time and the detected mutation interval that heavily rely on the choice of the subsequence.…”

Section: Application Of Nonlinear Dynamical Methods For Arc Welding Qmentioning

confidence: 99%

Application of Nonlinear Dynamical Methods for Arc Welding Quality Monitoring

Zhou

2016

TELKOMNIKA

View full text Add to dashboard Cite

Owing to its diverse, the stability of arc signals in high- IntroductionWith the development and application of automation technology and computer technology, the digitization and intelligent of welding has become a focus of the development of welding technology nowadays.Welding process is a complex physical and chemical process with various interference, and the stability of welding quality control is a more complex and difficult nonlinear problem [1][2][3]. Electrical signals,such as welding current and welding voltage,contains abundant information of welding process.If we can extract the feature information accurately,and then using the scientific method to undertake statistical analysis and calculation,will surely can be better sight into the characteristics of the mechanism of welding process [4,5]. Many scholars have studied in this respect: to reduce the subjectivity of double wire pulsed welding welding process stability evaluation. Considering weld strength as the quality characteristic in the selection of process parameters, fume formation in a pulsed gas metal arc welding (GMAW) process is investigated by coupling a time-dependent axi-symmetric two-dimensional model, which takes into account both droplet detachment and production of metal vapour, with a model for fume formation and transport based on the method of moments for the solution of the aerosol general dynamic equation [6]. Three geometry changes to the inner bore of a welding nozzle and their effects on weld quality during gas metal arc welding (GMAW) were investigated through the use of computational fluid dynamic (CFD) models and experimental trials [7]. An adaptive technique based on estimation of signal parameters via rotational invariance technique (ESPRIT) is proposed that optimizes the accuracy and computation time for harmonic/interharmonic estimation of stationary as well as nonstationary power supply signals [8]. The use of fuzzy rule based systems to model the relationship between weld control parameters and the weld bead geometry features is explored in this paper. The system is tested on three datasets and the performance is found to be satisfactory compared to the multilayer perceptron (MLP) and radial basis function (RBF) neural networks based systems [9]. Simpson S W elucidates the signature image approach to welding fault detection, covering the calculation of signature image data objects from blocks of welding electrical data (voltage and current), the definition of appropriate vector operations, and the manipulation of the signatures to permit detection of welding faults [10].The above analysis of the status of the system is not comprehensive, the extracted characteristic information is more rely on the experience of the people,and overemphasize on the independence of the state. Loss time-varying characteristics of the signal, and ignore the

show abstract

Section: Application Of Nonlinear Dynamical Methods For Arc Welding Qmentioning

confidence: 99%

Application of Nonlinear Dynamical Methods for Arc Welding Quality Monitoring

Zhou

2016

TELKOMNIKA

View full text Add to dashboard Cite

show abstract

“…Chaotic oscillator is high sensitivity, so it will lead to a problem that Duffing chaotic oscillator can detect actually or communication signal frequency or the required driving force amplitude and the theoretical value having a certain error when using the analog circuit to build Duffing chaotic oscillator, affecting the use. Therefore, we use the FPGA digital realization method [4], the precise generation of Duffing chaotic oscillator, effectively avoid such problems. The current FPGA realization of Duffing chaotic oscillator is based on the tools such as DSP Builder.…”

Section: Introductionmentioning

confidence: 99%

FPGA Realization of Duffing Chaotic Oscillator Based on Runge-Kutta Algorithm

Li¹,

Xu²,

Shi³

et al. 2017

Proceedings of the 2017 2nd International Conference on Automation, Mechanical Control and Computational Engineering (AMCCE 201

View full text Add to dashboard Cite

Duffing chaotic oscillator shows good detection and communication effect since it is sensitive to initial condition and has good resistance to noise. This paper presents an effective method for the digital hardware realization of Duffing chaotic oscillator on FPGA by using the Verilog HDL hardware description language directly and the fourth-order Runge-Kutta algorithm. Firstly, deduces the iterative process of Duffing chaotic oscillator according to the fourth-order Runge-Kutta algorithm. Secondly, uses the Verilog HDL language directly to the hardware realization of chaotic oscillator. Finally, outputs the generated signal on FPGA by the designed high-speed DAC. This method solves the problem that Duffing chaotic oscillator cannot realize the strict matching in the analog circuit because of the parameter errors due to component manufacturing and aging. This method also consumes fewer FPGA resources and the generated Duffing chaotic oscillator can be invoked easily by other modules for signal detection or communication. As a result it is practicable for use.

show abstract

“…The first is that, in practice, measurements are usually carried out at specific time intervals. Secondly, digital simulations can be performed easily and quickly either on a microcontroller [17][18][19][20][21] or on a FPGA board [22].…”

Section: Introductionmentioning

confidence: 99%

“…Here, we have realized an implementation of a secure digital data transmission system based on the synchronization of chaotic systems using two Arduino Uno boards. To the best of our knowledge, in the discrete case, this type of implementation has not been done in the literature; there are only implementations of chaotic oscillators using microcontrollers [19,20], and FPGAs [22]. The choice of the Arduino Uno board is motivated by the advantages that it offers.…”

Section: Introductionmentioning

confidence: 99%

“…The simplest of these are functions to control and read the I/O pins rather than having to fiddle with the bus/bit masks normally used to interface with the Atmega I/O (This is a fairly minor drawback). Also, note that, board programming microcontrollers are far more simpler compared to older existing implementations [19,20,22]. In our work, transmission scheme is constructed around two Arduino Uno boards, one of them acting as a transmitter and the other as a receiver.…”

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

Analysis and implementation of a novel robust transmission scheme for private digital communications using Arduino Uno board

Hamiche¹,

Guermah²,

Saddaoui

et al. 2015

Nonlinear Dyn

View full text Add to dashboard Cite

In this paper, we present a new scheme for the secured transmission of discrete information based on hyperchaotic discrete dynamics. The system is a modified-Henon hyperchaotic discrete-time oscillator considered as transmitter and a delayed step-by-step observer used as receiver. The transmitter parameters play the role of secret keys of the transmission scheme. To increase the robustness of the secure data transmission against known plain-text attacks, the message to be sent is encrypted by additional secret keys and inserted by inclusion method in the chaotic discrete-time system dynamics. By this way, the parameters used as secret keys cannot be identified with usual techniques. Simulation results are presented to highlight the performances of the proposed method. One of the main contributions of this paper is to demonstrate the feasibility of discrete realization of a chaotic observer-based secured transmission scheme. Indeed, experimental implementation results using Arduino Uno board validate the proposed approach, since it exhibits good performances of throughput and cost in terms of resources used.

show abstract

Implementation of FPGA-based real time novel chaotic oscillator

Cited by 95 publications

References 28 publications

Application of Nonlinear Dynamical Methods for Arc Welding Quality Monitoring

Application of Nonlinear Dynamical Methods for Arc Welding Quality Monitoring

FPGA Realization of Duffing Chaotic Oscillator Based on Runge-Kutta Algorithm

Analysis and implementation of a novel robust transmission scheme for private digital communications using Arduino Uno board

Contact Info

Product

Resources

About