Научная статья на тему 'Control of the modified chaotic Chua's circuit using threshold method'

Control of the modified chaotic Chua's circuit using threshold method Текст научной статьи по специальности «Электротехника, электронная техника, информационные технологии»

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Ключевые слова
CHAOS / CHUA / CONTROL / THRESHOLD METHOD / ХАОС / ЧУА / УПРАВЛЕНИЕ / ПОРОГОВЫЙ МЕТОД / УПРАВЛіННЯ / ПОРОГОВИЙ МЕТОД

Аннотация научной статьи по электротехнике, электронной технике, информационным технологиям, автор научной работы — Rusyn V.B., Pribylova L., Dimitriu D. -G.

Introduction. General scientific fields where can be used circuits that realize chaotic behavior and generate chaotic oscillations are presented.Methods for control of chaotic oscillations are also presented. For modelling, analysis and demonstrate results was selected MultiSim software environment. Modelling and Analysis of Non-Linear Element. This modified Chua’s circuit has a simple non-linear element, designed to have a piecewise-linear characteristic, that is, a combination of an opamp with two diodes that are mutually inline. For realization of nonlinearity, for two diodes do not need a separate power source, only one bipolar power source for the opamp is enough. The scheme for modelling of the nonlinear element and the results of computer simulation, i.e. the volt-ampere characteristic (VAC) at certain values of the components of the scheme's nominal values, is presented. This modified Chua's circuit, which generates a chaotic and controlled attractor with a fixed period, can be used in modern transmission and reception systems of information. Modeling and Analysis of the Modified Chaotic Chua’s Generator. System’s behavior is investigated through numerical simulations, by using well known tools of nonlinear theory, such as chaotic attractor and time distributions of the chaotic coordinates. Threshold Method for Control of Chaotic Oscillations. System of equations that realize chaotic oscillations of Chua's circuit is presented. Using threshold method was practical realization of the control of chaotic attractor. This modified Chua’scircuit that generate a chaotic and controlled attractor with a fixed period can be used in modern systemstransmitting and receiving information. Number of periodic (controlled) attractor can be used as a keys formasking of information carrier. Conclusions. For the first time was used threshold method forcontrol of chaotic oscillations for modified Chua’schaotic generator. This modified Chua’s circuit thatgenerate a chaotic and controlled attractor with afixed period can be used in modern systems transmittingand receiving information. Number of periodic(controlled) attractor can be used as a keys for maskingof information carrier.

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Управление модифицированной хаотичной схемой Чуа пороговым методом

В работе представлена модифицированная хаотичная схема Чуа, которая реализует хаотическое поведение. Эта схема имеет простой нелинейный элемент, спроектированный так, чтобы иметь кусочно-линейную характеристику. Эта модифицированная схема Чуа, которая генерирует хаотический и контролируемый аттрактор с фиксированным периодом, может использоваться в современных системах передачи и получения информации. Количество периодических (контролируемых) аттракторов может использоваться как ключи для маскировки информационного носителя. С помощью программной среды MultiSim проведен схемотехнический анализ и представлены результаты моделирования нелинейного элемента и модифицированной хаотической схемы Чуа. Исследовано поведение системы с помощью численного моделирования, используя известные инструменты нелинейной теории, такие как хаотичный аттрактор и временные распределения хаотических координат. Приведено описание порогового метода для осуществления управления хаотическими колебаниями и представлены результаты практического применения данного метода к модифицированной хаотической схеме Чуа. Практическими результатами являются выделенные 2и 3-периодные контролируемые орбиты с хаотического аттрактора.

Текст научной работы на тему «Control of the modified chaotic Chua's circuit using threshold method»

Visiiyk NTIJU KP1 Servia Radiolekhnika Radioaparat.obuduuannia, "2018, Iss. 75, pp. 61—65

Control of the Modified Chaotic Chua's Circuit Using Threshold Method

Rusyn V. B.1, Pribylova L.2, Dimitriu D.-G.3,

i-Yuriy Fedkovych Chernivtsi National University, Ukraine 2Masaryk University, Czech Republic 3Alexandru loan Cuza University of Iasi, Romania

E-mail: rusyn_ v&ukr.ncl■

The modified Cliua's circuit that, realize chaotic behaviour is presented. This circuit having a simple nonlinear element designed to be accurately piecewise-linear modelled. The circuit was modelled by using Mult.iSim software environment. System's behaviour is investigated through numerical simulations, by using well-known tools of nonlinear theory, such as chaotic at.tract.or and time distributions of the chaotic coordinates. Using threshold method was practical realization of the control of chaotic att.ract.or. This modified Chua's circuit, that, generate a chaotic and controlled at.tract.or with a fixed period can be used in modern systems transmitting and receiving information. Number of periodic (controlled) at.tract.or can be used as a keys for masking of information carrier.

Key words: chaos: Cliua: control: threshold method

DOI: 10.20535/RADAP. 2018.75.61-65

Introduction

Chaos theory have in different for

application, snch as biology [1]. economy [2 4]. plasmas [5]. magnetism [G]. memristor [7 19]. electronics schemes [20.21]. etc. There are many different circuit realizations of the chaotic Chna's generator.

For chaos control have been proposed many different approaches or techniques, snch as linear feedback control. OGY. inverse optimal control, etc [22 30]. The theoretical basis of most known methods for control chaos is stabilizing the unstable periodic orbits via parameter perturbation.

For modelling, analysis and demonstrate results was selected software MnltiSim.

1 Modelling and Analysis of Non-Linear Element

Nonlinear elements these are elements in which the relation between voltage and current is a nonlinear function. An example is a diode, in which the current is an exponential function of the voltage. Circuits with nonlinear elements are harder to analyze and design, often requiring circuit simulation computer programs snch as SPICE.

The circuit realization for modelling and analysis of the non-linear element is displayed in Fig. 1. with component: one operational amplifier TL082: resistors R1 = R2 = 220 Q, R3 = 1,2 kQ, R4 = 6 kQ, R5 = 800 Q; two diodes 1N4148; voltage - ±9 V.

Fig. 1. Circuit realization for modelling and analysis of nonlinear characteristic

Fig.

AC 0 ¡DË] AC 0 [k] - SBgle Normal Auto |Mûrie |

V/I characteristic of nonlinear element

62

Rusvn V. tí., Pribylova L. , Dimitriu i). -G.

The nonlinear characteristic was modelled by the following parameters: E = 9 V, f = 1 kHz, R = 6 kQ. Fig. 2 shows result of modelling of nonlinear element using MultiSim. The simulation parameters: U 1 = 5 V/div, U2 = 5 V/div.

2 Modelling and Analysis of the Modified Chaotic Chua's Generator

Fig. 3 shows simulated scheme of the modified chaotic Chua's generator by using MnltiSim. Circuit was realized on the one operational amplifier TL082, powered by a 9 V. two diodes 1N4148. resistors R1 R2 = 220 Q, R3 = 1.2 kQ, R4 = 800 Q, potentiometer R5 = 2 kQ (1.7 kQ), two capacitors CI = 10 nF, C2 = 100 nF. inductor LI 18 mH.

Fig. 3. The simulated circuit of the modified chaotic Chua's generator

Fig. 4 shows the result of circuit simulation. Generated chaotic signal in the plane XY presented on the virtual oscilloscope. Coordinate X in the circuit correspond voltage UC2, coordinate Y - voltage Uci- The simulation parameters: Ui = 1 V/div, U2 = 2

Fig. 4. Chaotic attractor

Fig. 5. Time dependences of tlie coordínate X and Y

In Fig. 5 shows time dependences of tlie coordinates X and Y. The simulation parameters for Fig. : U = 2 V/div, U2 = 5 V/div, time scale 2 ms/div.

3 Threshold method for control of chaotic oscillations

Consider a general N-dimerisiorial dynamical system, described by the evolution equation x = F(x, t) where x = (xi,x2, ...,x^) are the state variables, and variable is chosen to be monitored and threshold controlled. The prescription for threshold control in this system is as follows: control will be triggered whenever the value of the monitored variable exceeds a critical threshold x* (i.e., when > x*) and the variable will then be reset to x*. The dynamics

continues till the next occurrence of exceeding the

x*

F( x)

no computation is needed to obtain the necessary-control. The method only involves monitoring a single variable and no parameters are perturbed in the original system. The theoretical basis of the method does not involve stabilizing unstable periodic orbits, but rather involves clipping desired time sequences (symbol sequences in maps) and enforcing a periodicity on the sequence through the thresholding action which acts as a resetting of initial conditions. The effect of this scheme is to limit the dynamic range slightly, i.e., "snip" off small portions of the available phase space, and this small controlling action is effective in yielding a range of stable behaviors. In fact, chaos is advantageous here, as it possesses a rich range of temporal patterns which can be clipped to different behaviors. This immense variety is not available from thresholding regular systems. It can be shown analytically for one-dimensional maps and numerically for multidimensional systems that the threshold mechanism yields stable orbits of all orders by simply varying the threshold level. But so far there had been no direct experimental verification of this control scheme [31]. Now to experimentally demonstrate the range and efficacy of the method, we implement it on the modified chaotic Chna's circuit. We consider a realization of

the double scroll chaotic Chua's attractor given by the following set of (rescaled) three coupled ODEs:

^ = a[y — x — g{x)},

dy

— = x — y + z, at

-T = —to, dt '

(1)

(2)

(3)

where a = 10, fl = 14.87, g(x) — piecewise linear function. Chaotic oscillations were if system parameters a = 2,b = 6.7, and dynamic variables x = 1.2, y = 0.8, z = 1.4.

The circuit realization of the above is displayed in Fig. 6, with component values: capacitors CI 100 nF, C2 10 nF, DA1-DA4 operational amplifier TL082, powered by a 9 V, GB1 threshold reference voltage, inductor LI = 18 mH, resistors R1 = R2 = 1.71 kQ, R3 = R4 = 220 Q, R5 = 800 Q, R6 = 1.2 kQ, R7 = 1 kQ potentiometer R8 = 100 kQ, diodes VD1-VD3 -1N4148.

Fig. 7. Uncontrolled chaotic attractor in the V1 — V2 plane

Fig. 8. 2-period controlled attractor obtained when x*=2.7 V in the V1 — V2 plane

Fig. 6. Modified chaotic Chua's circuit with threshold level controlling circuit (shown in the dotted box). Vt is the threshold controlled signal

We implement an even more minimal thresholding. Instead of demanding that the x variable be reset to x* if it exceeds x*, we only demand this in Eq. ( ). This has very easy implementation, clS it avoids modifying the value of x in the nonlinear element g(x), which is harder to do. So then all we do is to implement dy/dt = x* — y + z instead of Eq. ( ), when x > x*, and there is no controlling action if x < x*. In the circuit, the voltage Vr corresponds to x*.

Fig. 7 Fig. 9 shows experimental results of the control of chaotic oscillations.

Fig. 9. 3-period controlled attractor obtained when x*=2.71 V in the V1 — V2 plane

Conclusions

For the first time was used threshold method for control of chaotic oscillations for modified Chua's

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Rusvn V. B., Pribylova L. , Dimitriu D. -G.

chaotic generator. This modified Chua's circuit that generate a chaotic and controlled attractor with a fixed period can be used in modern systems transmitting and receiving information. Number of periodic (controlled) attractor can be used as a keys for masking of information carrier.

References

[1] Hajnova V. and Pribylova L. ("2017) Two-parameter bifurcations in LPA model. .Journal of Mathematical Biology, Vol. 75, Iss. 5, pp. 1235-1251. DOl: 10.1007/s00285-017-1115-8

[2] Rusvn V. and Savko O. (2016) Modeling of Chaotic Behavior in the Economic Model. Chaotic Modeling and Simulation. An International .Journal of Nonlinear Science, No. 3. pp. 291 298.

[3] Pribylova L. (2009) Bifurcation routes to chaos in an extended Van dor Pol's equation applied to economic models Electronic .Journal of Differential Equations, Vol. 53, pp. 1 21.

[4] Bucur L. and Florea A. (2011) Techniques for prediction in chaos a comparative study on financial data U.P.B. Set. Bull., Series C, Vol. 73, No. 3., pp. 17-32.

[5] Agop M, Dimitriu D.G., Niculescu O., Poll E. and Radu V. (2013) Experimental and theoretical evidence for the chaotic dynamics of complex structures. Physica Script,,. Vol. 87,"iss. 4, pp. 045501. DOl: 10.1088/00318949/87/04/045501

[6] Horley P.P., Kushnir M.Y., Morales-Meza M„ Sukhov A. and Rusvn V. (2016) Period-doubling bifurcation cascade observed in a ferromagnetic nanoparticle under the action of a spin-polarized current. Physica B: Condensed Matter, Vol. 486, pp. 60-63. DOl: 10.1016/j.physb.2015.12.010

[7] Chua L. (1971) Memristor-The missing circuit element. IEEE Transactions on Circuit Theory, Vol. 18, Iss. 5, pp. 507-519. DOl: 10.1109/tct. 1971.1083337

[8] Wang F.Z., Shi L„ Wu H„ Helian N. and Chua L.O. (2017) Fractional memristor. Applied Physics Letters, Vol. Ill, Iss. 24, pp. 243502. DOl: 10.1063/1.5000919

[9] Ascoli A., Tetzlalf R., Biey M. and Chua L.O. (2017) Complex dynamics in circuits with memristors. 2017 European Conference on Circuit Theory and Design (ECCTD). DOl: 10.1109/ecctd.2017.8093268

[10] Mannan Z.I., Choi H., Rajamani V., Kim H. and Chua L. (2017) Chua Corsage Memristor: Phase Portraits, Basin of Attraction, and Coexisting Pinched Hysteresis Loops. International .Journal of Bifurcation and Chaos, Vol. 27, Iss. 03, pp. 1730011. DOl: 10.1142/s0218127417300117

[11] Itoh M. and Chua L. (2017) Dynamics of Hamiltonian Systems and Memristor Circuits. International .Journal of Bifurcation and Chaos, Vol. 27, Iss. 02, pp. 1730005. DOl: 10.1142/s0218127417300051

[12] Yu D„ Zheng C„ lu H.H., Fernando T. and Chua L.O. (2017) A New Circuit for Emulating Memristors Using Inductive Coupling. IEEE Access, Vol. 5, pp. 1284-1295. DOl: 10.1109/access.2017.2649573

[13] Chua L. (2013) Memristor, Hodgkin Huxley, and Edge of Chaos. Nanotechnology, Vol. 24, Iss. 38, pp" 383001. DOl: 10.1088/0957-4484/24/38/383001

[14] Adhikari S.P., Kim H., Budhathoki R.K., Yang C. and Chua L.O. (2015) A Circuit-Based Learning Architecture for Multilayer Neural Networks With Memristor Bridge Synapses. IEEE Transactions on Circuits and Systems l": Regular Papers, Vol. 62, Iss. 1, pp. 215-223. DOl: 10.1109/tcsi.2014.2359717

[15] Gregory M.D. and Werner D.H. (2015) Application of the Memristor in Reconiigurable Electromagnetic Devices. IEEE Antennas and Propagation Magazine, Vol. 57, Iss. 1, pp. 239-248. DOl: 10.1109/map.2015.2397153

[16] Potrebic M. and Tosic D. (2015) Application of Memristors in Microwave Passive Circuits, Radioengineering, Vol. 24, Iss. 2, pp. 408-419. DOl: 10.13164/re.2015.0408

[17] Khrapko S., Rusvn V. and Politansky L. (2018) Investigation of the memristor nonlinear properties. Informatics Control Measurement in Economy and Environment. Protection, Vol. 8, Iss. 1, pp. 12-15. DOl: 10.5604/01.3001.0010.8544

[18] Bao B„ Yu .1., Hu F. and Liu Z. (2014) Generalized Memristor Consisting of Diode Bridge with First Order Parallel RC Filter. International .Journal of Bifurcation and Chaos, Vol. 24, Iss. 11, pp. 1450143. DOl: 10.1142/s0218127414501430

[19] Valsa .1., Biolek D. and Biolok Z. (2010) An analogue model of the memristor. International .Journal of Numerical Modelling: Electronic Networks, Devices and Fields, Vol. 24, Iss. 4, pp. 400-408. DOl: 10.1002/jnm.786

[20] Rusvn V. B. (2014) Modelling and Research of Chaotic Rossler System with LabView and Multisim Software Environment, Visnyk N'l'UU KP1 Seriia - Radiotekhni-ka Radioaparatobuduvannia, Iss. 59, pp. 21-28. DOl: 10.20535/RADAP.2014.59.21-28

[21] Sambas A., Mada Sanjaya W. S., Mamat M. and Tacha O. (2013) Design and Numerical Simulation of Unidirectional Chaotic Synchronization and Its Application in Secure Communication System. .Journal of Engineering Science and Technology Review, Vol. 6, No. 4, pp. 66-73.

[22] OH E., Grebogi C. and Yorke .I.A. (1990) Controlling chaos. Physical Review Letters, Vol. 64, Iss. 11, pp. 11961199. DOl: 10.1103/physrevlett.64.1196

[23] Rusvn V., Kushnir M. and Galameiko O. (2012) Hyperchaotic Control by Thresholding Method. Proceedings of International Conference on Modern Problem of Radio Engineering, Telecommunications and Computer Science, p. 67.

[24] Rusvn V.B., Stancu A. and Stoleriu L. (2015). Modeling and Control of Chaotic Multi-Scroll Jerk System in LabView. Visnyk N'l'UU KP1 Seriia - Radiotekhni-ka Radioaparatobuduvannia, Iss. 63, pp. 94-99. DOl: 10.20535/RADAP.2015.63.94-99

[25] Bai E. and Lonngren K.E. (1999) Synchronization and Control of Chaotic Systems. Chaos, Solitons & Fractals, Vol. 10, Iss. 9, pp. 1571-1575. DOl: 10.1016/s0960-0779(98)00204-5

[26] Chen S. and Lii .1. (2002) Synchronization of an uncertain unified chaotic system via adaptive control. Chaos, Solitons & Fractals, Vol. 14, Iss. 4, pp. 643-647. DOl: 10.1016/s0960-0779(02)00006-l

[27] Bowong S. and Kakmeni F.M. (2004) Synchronization of uncertain chaotic systems via backstepping approach. Chaos, Solitons & Fractals, Vol. 21, Iss. 4, pp. 999-1011. DOl: 10.1016/j.chaos.2003.12.084

[28] Cupte N. and Amritkar R.E. (1993) Synchronization of chaotic orbits: The inlluence of unstable periodic orbits. Physical Review E, Vol. 48, Iss. 3, pp. R1620-R1623. DOl: 10.1103/physreve.48.rl620

[29] Dong W„ Wang В., Long Y„ Zhu D. and Sun S. (2017) Finite time control of nonlinear permanent magnet synchronous motor U.P.B. Sei. Bull., Series C, Vol. 79, No. 2, pp. 145-156.

[30] Calolir V'., Tanasa V., Fagarasan 1., Stamatescu 1., Arghi-ra N. and Stamatescu C. (2015) Л backstepping control method for a nonlinear process - two coupled-tanks U.P.B. Sei. Bull., Series C, Vol. 77, No. 3, pp. 67-76.

[31] Murali K. and Sinha S. (2003) Experimental realization of chaos control by thresholding. Physical Review E, Vol. 68, Iss. 1. DOl: 10.1103/physreve.68.016210

Управлшня м од и ф i ко в а н о ю хаотичною схемою Чуа пороговим методом

Русин В., Прибилова Л., Длштргу Д.-Г.

В робот! представлена модифшовапа хаотична схема Чуа, яка реал!зуе хаотичпу поведшку. Ця схема мае простий пелипйпий елемепт. спроектовапий так. щоб мати кусково-лшшпу характеристику. Ця модифшовапа схема Чуа, яка геперуе хаотпчпий та коптрольовапий аттрактор з ф1ксовапим перюдом. може використову-ватися в сучаспих системах передаваппя та приймаппя шформацп. Число перюдичпих (коитрольова1шх) атра-ктор1в може використовуватися як ключ! для маскува-ппя шформацишого пооя. За допомогою ирограмиого середовища Mult.iSim проведено схемотехшчпий апал!з i представлено результати моделюваппя пелшшпого еле-мепта та модиф1ковапо1 хаотично! схеми Чуа. Досл1дже-па поведшка системи за допомогою чиселыюго моделюваппя. використовуючи в1дом! шетрумептп пелшшпо! теорп. так! як хаотичпий атрактор i часов! розподгли хаотич1шх координат. Приведено опис порогового методу для здшепеппя управлишя хаотичпими коливаппями та представлено результати практичного застосуваппя

дапого методу до модифшовапо! хаотично! схеми Чуа. Практичпими результатами е видшеш 2- та З-перюдш коптрольоваш орб!ти 1з хаотичного атрактора.

Ключовг слова: хаос: Чуа: управлишя: пороговий метод

Управление модифицированной хаотичной схемой Чуа пороговым методом

Русый В., Прибылова Л., Длштриу Д.-Г.

В работе представлена модифицированная хаотичная схема Чуа, которая реализует хаотическое поведение. Эта схема имеет простой нелинейный элемент, спроектированный так. чтобы иметь кусочпо-липейпую характеристику. Эта модифицированная схема Чуа, которая генерирует хаотический и контролируемый аттрактор с фиксированным периодом, может использоваться в современных системах передачи и получения информации. Количество периодических (контролируемых) аттракторов может использоваться как ключи для маскировки информационного носителя. С помощью программной среды МиШвпп проведен схемотехнический анализ и представлены результаты моделирования нелинейного элемента и модифицированной хаотической схемы Чуа. Исследовано поведение системы с помощью численного моделирования, используя известные инструменты нелинейной теории, такие как хаотичный аттрактор и временные распределения хаотических координат. Приведено описание порогового метода для осуществления управления хаотическими колебаниями и представлены результаты практического применения данного метода к модифицированной хаотической схеме Чуа. Практическими результатами являются выделенные 2- и З-периодпые контролируемые орбиты с хаотического аттрактора.

Ключевые слова: хаос: Чуа: управление: пороговый метод

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