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DC-DC converters are widely used in regulated switched mode power supplies and in DC motor drive applications. There are several sources of unwanted nonlinearity in practical power converters. In addition, their operation is characterized by switching that gives birth to a variety of nonlinear dynamics. DC-DC buck and boost converters controlled by pulse-width modulation (PWM) have been simulated. The voltage waveforms and attractors obtained from the circuit simulation have been studied. With the onset of instability, the phenomenon of subharmonic oscillations, quasi-periodicity, bifurcations, and chaos have been observed. This paper is mainly motivated by potential contributions of chaos theory in the design, analysis and control of power converters, in particular and power electronics circuits, in general.
Proceedings of the 2014 6th International Conference on Electronics, Computers and Artificial Intelligence (ECAI), 2014
This paper is focused on the nonlinear behavior of the DC-DC converters. In the first part of this paper, the basic topologies of the DC-DC converters are analyzed and modeled. The general linear model for the Buck, Boost and Buck-Boost topologies is presented and used in the simulation performed in the second part of this paper. Also, the main tools used to study their nonlinear behavior are shown here, and applied and compared in the second part of this paper. The phase diagram, power spectrum, Poincaré map, bifurcation map, and Lyapunov exponent are briefly presented here as the most used tools to analyze the systems' stability.
Proceedings of the 2014 6th International Conference on Electronics Computers and Artificial Intelligence, 2014
This paper is focused on the nonlinear behavior of the DC-DC converters. In the first part of this paper, the basic topologies of the DC-DC converters are analyzed and modeled. The general linear model for the Buck, Boost and Buck-Boost topologies is presented and used in the simulation performed in the second part of this paper. Also, the main tools used to study their nonlinear behavior are shown here, and applied and compared in the second part of this paper. The phase diagram, power spectrum, Poincaré map, bifurcation map, and Lyapunov exponent are briefly presented here as the most used tools to analyze the systems' stability.
2007
Abstract Power electronic circuits exhibit nonlinear dynamical behaviour due to their inherent inhomogeneity and switching. Among power electronic converters, the DC/DC buck converter is studied with constant-frequency pulse-width modulation feedback control in continuous conduction mode. Phase-space and time-domain plots for several periodic and chaotic orbits are presented. The bifurcation diagram is studied together with periodic orbits and chaotic behaviour of the circuit.
IEEE Transactions on Circuits and Systems I: Fundamental Theory and Applications, 1998
Nonlinear phenomena in closed-loop pulsewidth modulated (PWM) dc/dc converters are analyzed. We introduce a new discrete time nonlinear map-the A-switching map-which is related to the asynchronous switchings, i.e., the changes of converter configuration occurring within the modulating period. This map is compared with the stroboscopic map, which is typically used in the study of dc/dc converters. Analytical conditions for the occurrence of periodic orbits and flip bifurcations are obtained. Moreover, necessary conditions for infinite local stretching on the phase space are derived. Finally, a possible explanation of the sudden jump to chaos exhibited by dc/dc converters is proposed. Analytical and numerical results can be applied to all fundamental dc/dc converter topologies. The case of the voltage-controlled buck converter is treated in detail.
… and Systems I: Fundamental Theory and …, 1996
Abstruct-A dc-dc buck converter controlled by naturallysampled, constant-frequency pulsewidth modulation in continuous conduction mode gives rise to a great variety of behavior, depending on the values of the parameters of the circuit. We analyze the one-periodic and two-periodic orbits which cross the voltage ramp once per cycle, and we study their stability by computing the characteristic multipliers associated with each one. Subharmonics, bifurcations, and the presence of a strange attractor are also studied. A plot of the number of crossings in the ramp is drawn. This becomes a helpful tool for investigating the evolution of the trajectories when they are close to the attractor. When analytic computations are impossible, we resort to numerical algorithms to simulate the orbits.
Studies in health technology and informatics, 2014
This paper describes an evaluation of a community-based fall-detection project using smart phone based tri-axial accelerometry to identify factors that affect adoption and use of such technology by elderly people. A mixed methods study using questionnaires and semi-structured interviews was conducted to evaluate attitudes of the elderly people participating, as well as project stakeholders involved in the project. Information registered in a web-based fall management system was analyzed both qualitatively and quantitatively, using an adapted version of Unified Theory of Acceptance and Use of Technology (UTAUT). Adoption rate was 61.7% and attrition rate was 57%, the most common reasons for attrition being health deterioration (50%) and problems with the device and the network (26.2%). We identified a number of challenges that affected the success of this project, including problems with the software, usability issues with the device, coverage of the network, training of participants...
1992
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Neuroscience, 2008
Down Syndrome (DS) results from triplication of the whole or distal part of human chromosome 21. DS subjects suffer from deficits in learning and memory and cognitive functions in general, and, starting from early development, their brains show dendritic and spine structural alterations and cell loss. These defects concern many cortical brain regions as well as the hippocampus, which is known to play a critical role in memory and cognition. Most of these abnormalities are reproduced in the mouse model Ts65Dn, which is partially trisomic for the mouse chromosome 16 that is homologous to a portion of human chromosome 21. Thus, Ts65Dn is widely utilized as an animal model of DS. To better understand the molecular defects underlying the cognitive and particularly the memory impairments of DS, we investigated whether the expression of several molecules known to play critical roles in long-term synaptic plasticity and long-term memory in a variety of species is dysregulated in either the neonatal brain or adult hippocampus of Ts65Dn mice. We found abnormal expression of the synaptic proteins synaptophysin, MAP2 and CDK5 and of the neurotrophin NT-3. Both the neonatal brain and adult hippocampus revealed significant abnormalities. These results suggest that a dysregulation in the expression of neurotrophins as well as proteins involved in synaptic development and plasticity may play a potential role in the neural pathology of DS in humans.
Wireless sensor network has many small sensor nodes that work in collaborative manner to achieve a specific task. But it is deployed in unattended environment and that is why it is prone to attacks. These attacks mainly fall into two categories that is application dependent and application independent .In this paper the focus is on the node replication attack which falls under application independent attacks. In this paper a survey has been done related to node replication attack and existing techniques for solving this issue has been studied. The paper mainly focuses on the types of attacks on wireless sensor network and the two techniques centralized and distributed detection for detection of the node replication attack. Defending against this node replication attack is recently become a research topic in the security of wireless sensor network. The applications and advantages of centralized detection and distributed detection and their respective limitations has been studied.
B. Sources of Unwanted Nonlinearity
There are several unavoidable sources of unwanted nonlinearity in practical power electronics circuits [3] In this paper, we are concerned with power converters, which by virtue of their rich nonlinearity exhibit a variety of complex behavior.
II. CHAOS IN DC-DC CONVERTERS
Although nonlinear effects in electronic circuits were first observed by Van der Pol in 1927, it is only recently that the existence of bifurcations and chaos in power converters has been proposed [3].
DC-DC converters have always been designed to operate in only one type of periodic operation, commonly known as "period-1 operation" in which all the waveforms repeat at the same rate as the driving clock. Thus converters are expected to work stably in this regime under all possible disturbances. Anyhow, period-1 operation is not the only possibility. For instance, under certain conditions, the circuit may operate in a period-n regime in which the periods of all waveforms are exactly 'n' times that of the driving clock. We can immediately appreciate the complexity in the operation of switching converters, where a variety of operational regimes exist and a large number of parameters may affect the stability of a particular regime. As parameters vary, the operation can go from one regime to another, sometimes in an abrupt manner. Such a phenomenon, where one regime fails to operate and another picks up, is termed "bifurcation". Thus even when a converter is well designed to work in a particular (desired) regime, it could fail to operate as expected if some parameters are changed, causing it to assume another regime. If the newly assumed regime is an undesirable one, locating the bifurcation boundary becomes imperative [3][4]6].
The periodic (period-1) stable operation is the preferred operation for most industrial applications; it represents only one particular operating regime. Because of the existence of many possible operating regimes, it would be of practical importance to have an exhaustive understanding of what determines the behavior of the circuit so as to guarantee a desired operation or to avoid an undesirable one [3][4][5][6][7].
III. SIMULATION OF BUCK CONVERTER
This topology of buck converter is also called step down chopper because it produces an output voltage that is less than or equal to the input voltage [8].
The inductor current is always positive meaning that it is operating in a continuous conduction mode (CCM). It is mainly used in regulated DC power supplies and DC motor speed control. The input and output relationship of this converter is:
Controlling the duty cycle D of the switch, the value of V out can be kept within a desired range. The converter has PWM control of the switching. A reference voltage is compared to the output voltage and then the result is compared to a sawtooth waveform so that corrections can be made on the value of D. By changing the input voltage (control parameter) the nonlinear dynamics (bifurcation and chaos) exhibited by this DC-DC buck converter can be investigated. Fig. 2 shows boost converter also called step down chopper because it produces an output voltage that is greater than the input voltage [9]. The input and output relationship is given by:
Figure 2
Fig. 2 PWM boost converter
IV. SIMULATION OF BOOST CONVERTER
The PWM switching in boost converter is identical to that of the buck converter. We can examine the nonlinear behavior exhibited by changing the input voltage. Fig. 3 shows output voltage V 2 recorded for supply voltage V 1 =25 volts. It can be seen that V 1 has the same period as the voltage waveform V 2 . It is periodic (period-1) operation. In this operation, all waveforms repeat at the same rate as the driving clock. The output signal waveform is almost period-1 but not exactly period-1. This could be due the improper choice of component models or due to insufficient resolution in the simulation. Fig. 4 illustrates the period-1 attractor for V 1 =25 volts. In Fig. 5 for input voltage waveform V 1 =31 volts, the output voltage waveform V 2 is shown. It can be observed that a period doubling has taken place: every second pulse is slightly larger than its predecessor. And Fig. 6 shows the corresponding period-2 attractor. This period-2 attractor also confirms the period doubling phenomenon. Fig. 7 above demonstrates the output voltage waveform V 2 recorded when supply voltage waveform V 1 was 41 volts. This waveform is aperiodic (no more period-1or period-2 operation). In Fig. 8, the corresponding chaotic or strange attractor (graph between output voltage and inductor current) has been drawn. These waveforms can vary a little depending upon the version of circuit simulator and the machine (computer) employed.
Figure 3
Figure 4
Figure 5
Figure 6
Figure 7
Fig. 7 Chaotic Waveform
Figure 8
Thus as the input voltage has been increased from 25 to 45 volts; the operation of this simple DC-DC step down converter has transitioned by means of period doubling from periodic to chaotic operation.
Hence this simple DC-DC step up converter controlled by pulse-width modulation (PWM) exhibited periodic (period-1 and period-2) as well as aperiodic (chaotic) operations. These different types of behavior occur certainly due to a number contributing factors as; because of intrinsically nonlinear semiconductor switching devices, nonlinear active devices, and feedback control circuits involving nonlinear components. In short, power electronic circuits can exhibit nonlinear dynamics for example bifurcations, subharmonic oscillations and chaos. VII. CONCLUSION PWM buck and boost switching regulators have been simulated in a circuit simulator. These converters have wide industrial application so it is necessary for the design engineers to have a comprehensive knowledge about the circuit behavior at different regions of parameter space.
VI. SIMULATION RESULTS OF BOOST CONVERTER
It is often difficult for the novice to grasp the fundamental concepts of nonlinear dynamics when they were represented in overly mathematical terms. But circuit simulations of nonlinear power electronics circuits allow hands-on experience of chaotic behavior in a user friendly environment with graphical output. The learning process is also enhanced by the ability to modify and experiment with the circuit parameters at will.
The practical advantage of studying chaos is a better understanding of the chaotic behavior of DC-DC converters that will lead to more reliable designs and new possibilities of operating regimes that can help optimize design.
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