PSPICE Analysis Research Articles

A Physical Memristor Model for Pavlovian Associative Memory

Abstract Brain-inspired intelligence is considered a computational model with the most promising potential to overcome the shortcomings of the von Neumann architecture, making it a current research hotspot. Due to advantages such as nonvolatility, high density, low power consumption, and high response ratio, memristors are regarded as devices with promising applications in brain-inspired intelligence. This paper proposes a physical Ag/HfO$_{x}$/FeO$_{x}$/Pt memristor model. Firstly, the Ag/HfO$_{x}$/FeO$_{x}$/Pt memristor is fabricated using magnetron sputtering, and its internal principles and characteristics are thoroughly analyzed. Furthermore, we constructed a corresponding physical memristor model which achieves a simulation accuracy of up to 99.72% for the physical memristor. We design a fully functional Pavlovian associative memory circuit, realizing functions including generalization, primary differentiation, secondary differentiation, and forgetting. Finally, the circuit is validated through PSPICE simulation and analysis.

Comparison, Simulation and Analytical Examination of the Currents of Four Different Combination Coupled Circuits with Different Solution Method

This article investigates different currents of four different coupled circuit fed sinusoidally for analytical and simulation conditions. In this paper, analytical modeling and equations for four different coupled circuit based on current point signal is presented. A discussion based on their theoretical use is then presented in the simulation along with calculations regarding their currents performances. These models are also validated by simulation results of current waveforms for each analytical case. PSpice program is used for this simulation. It has been confirmed that the analytical calculation values obtained in the analysis of the coupled circuits and the simulation plot values obtained in the Pspice analysis are the same.

Control of Coexisting Attractors with Preselection of the Survived Attractor in Multistable Chua’s System: A Case Study

Although the control of multistability has already been reported, the one with preselection of the desired attractor is still uncovered in systems with more than two coexisting attractors. This work reports the control of coexisting attractors with preselection of the survived attractors in paradigmatic Chua’s system with smooth cubic nonlinearity. Techniques of linear augmentation combined to system invariant parameters like equilibrium points are used to choose the desired surviving attractors among the coexisting ones. Nonlinear dynamical tools including bifurcation diagrams, standard Lyapunov exponents, phase portraits, and cross section of initial conditions are exploited to reveal the selection scenarios of the survived attractor in the multistability control process of Chua’s system. The main crisis towards annihilation of multistability in Chua’s system when varying the coupling strength is interior crisis and border collision. Theoretical and numerical results obtained are further validated with PSpice analysis.

Aging monitoring of electrical machines using winding high frequency equivalent circuits

Abstract This study defines a monitoring method based on impedance analysis in the upper part of the spectrum. It focuses on the analysis of the high frequency behavior of electrical machines windings considering the turn-to-turn capacitance variations (delta-C) due to insulation aging. An equivalent circuit is automatically generated from the turn arrangements in coils; parameters are computed considering the coil shape and the characteristics of insulation materials. PSpice analysis of the equivalent circuit yields the resonance frequencies to be monitored. With this software and a database giving the relationship between the turn-to-turn capacitance variation delta-C and the reduction of insulation performances due to aging, it is possible to build a monitoring system able to produce an alert when the probability of failure becomes higher than a predetermined level.

A comparison of continuous‐time active RC filters for the analog front end

AbstractTwo band‐stop, or notch, filters, optimized for maximum dynamic range and low noise, which may be used in high‐speed wire‐bound data transmission systems for channel attenuation, are compared. Design equations for the two filters are given, and the method used for optimizing the dynamic range and low noise is described. PSpice analysis is carried out, and a comparison of noise, referred as the input, is given. The dynamic range is optimized so as to have the same signal level at each amplifier output. Copyright © 2007 John Wiley & Sons, Ltd.

The Study of PD Propagation Phenomenon in Power Network

This paper presents the measured and analyzed responses of the partial discharge (PD) when it propagates in a power network from its origin to the measuring nodes. On and offline measurements are done in a power network consisting of a 16.5-kV/250-MVA-rated power generator, busbar, and step-up transformer. The simultaneously measured PD at two ends of the busbar indicated that the intensity of PD decreased as it traveled a longer distance and the time interval of its occurrence had a finite delay indicating the dominant mode of PD propagation as a transmission line. Frequency-domain analysis indicated the presence of characteristic resonance frequencies and the number increased as the measuring node moved away from the PD origin. The offline measurement by injecting an exponential PD signal at the neutral indicated that the signal will be absorbed in the generator, and the signal at the measuring node will be attenuated by 50 times and will be distorted. Pspice simulation is used to develop the network model for the propagation path. The Pspice analysis indicated that the distributed models of generator, busbar, and lumped parameter models of a transformer can be used to match the offline measurement. The model showed that each model can have the characteristic resonant peaks depending on the selected parameters and it can distort the simultaneously observed PD at two different nodes.

PSPICE analysis of a scanning capacitance microscope sensor

A detailed analysis of the capacitance sensor from a scanning capacitance microscope (SCM) is presented. PSPICE circuit simulations are compared with experimental results. The general behavior of the SCM sensor and practical aspects of the sensor-tuning curve are described. It is found that stray capacitances of the magnitude encountered in a conventional SCM measurement configuration are large enough to significantly decrease measurement sensitivity and sensor high-frequency voltage across the tip sample. We have also calculated and measured the delocalized dC/dV caused by stray capacitance, revealing that this background dC/dV must be accounted for in order to obtain the true localized dC/dV.

Pspice analysis of HFf high-power amplifier and comparison to related methods

Application of the PSpice program for analyzing HF high-power tuned amplifier (HFHPTA)is described in this paper. The new method is compared to other known methods. Calculation results of the balance of power and coefficient of efficiency, as well as the errors referred to catalogue vales are given for different methods of analysis.

PSPICE analysis of HF high-power tuned amplifier and comparison to related methods

PSPICE analysis of HF high-power tuned amplifier and comparison to related methods