1,721,146 research outputs found
Behavioral Modeling of Nonlinear Circuit Elements: Application to Signal Integrity and Electromagnetic Compatibility
Full text linkNowadays the availability of computational models of nonlinear dynamic components is becoming a key requirement for the analysis and design of complex systems. The complexity of many components, however, as well as the lack of information on their internal structure often prevent from the development of traditional physical models. This scenario raise the interest for behavioral models, which are models obtained from the observation of the external behavior of components. In this thesis we focus on the development of behavioral models for the assessment of Signal Integrity (SI) and ElecroMagnetic Compatibility (EMC) effects on fast digital circuits. Such an assessment, that is mainly achieved by simulating the evolution of signals sent on interconnects by digital integrated circuits (ICs), requires e±cient and accurate models of IC ports driving and loading the interconnects themselves. The required models must allow the simulation of large realistic problems and must performs at an accuracy level useful to the prediction of sensitive effects, like crosstalk and radiation. Behavioral models meet such requirements and are establishing as the best tools for the description of IC ports. We analyze possible behavioral modeling methods for IC ports and concentrate on behavioral modeling via black-box identification. It amounts to the selection of a suitable parametric model and to the estimation of its parameters from measured transient responses. The selection of a suitable class of parametric models leads to Radial Basis Function (RBF) representations, that offer many advantages in the modeling of systems with strong nonlinear nature and multiple inputs. We developed a simplified RBF model that can be obtained from measured port voltage and current. The estimation of such model is simple and relies on a robust algorithm. In order to test the effectiveness of the proposed approach and its feasibility, we apply it to the modeling of several virtual devices and to an actualdevice of interest. The obtained models perform at a fairly good accuracy and effciency levels and turn out to be weakly sensitive to driven loads and measurement setup. Besides, since the model structure is selected by the estimation process itself, all the relevant physical effects relating input and output signals (e.g., substrate or packaging effects) are automatically taken into accoun
Modellazione comportamentale di dispositivi logici per verifiche di integrita' di segnale ecompatibilita' elettromagnetica
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Stochastic Analysis of Switching Power Converters via Deterministic SPICE Equivalents
Full text linkThis letter addresses the stochastic analysis of nonlinear switching power converters via an augmented circuit equivalent and a single deterministic SPICE simulation. The proposed approach is based on the expansion of the constitutive relations of the circuit elements in terms of orthonormal polynomials within the well-established framework of polynomial chaos. The feasibility and strength of the method are demonstrated on a dc-dc boost converter described by either detailed nonlinear components or via its averaged linear circuit. Excellent modeling accuracy as well as remarkable speed-ups compared to traditional sampling-based approaches are achieve
EMI Prediction of Switching Converters
Full text linkThis paper addresses the simulation of the conducted electromagnetic interference produced by circuits with periodically switching elements. The proposed method allows for the computation of their steady-state responses by means of augmented linear time-invariant equivalents built from circuit inspection only, and standard tools for circuit analysis. The
approach is demonstrated on a real dc-dc boost converter by
comparing simulation results with real measurements
Steady-State Analysis of Switching Power Converters via Augmented Time-Invariant Equivalents
Full text linkThis letter addresses the simulation of the steadystate response of switching power converters. The proposed approach is based on the interpretation of the voltage and current variables of a periodically switched linear circuit in terms of a series expansion and on the generation of augmented timeinvariant constitutive relations of the circuit elements. The circuit solution is obtained from an augmented time-invariant nodal equation generated from topological information and circuit inspection only. The feasibility and strength of the approach are demonstrated on a DC-DC boost converte
EMI Modeling of DC Motors from Measured Data
No full textThis paper presents an innovative modeling technique for the estimation of the conducted emissions generated by a dc motor. The proposed model structure is justified by the theory of periodically switched systems and provides a generalization of the currently available state-of-the-art models based on simplified equivalents (e.g., Thevenin- and Norton-based representations). It offers improved accuracy in reproducing the noisy current absorption of the motor for different rotation speeds and supply conditions. The modeling procedure is simple and relies on a small set of measurements, thus providing the designers with a feasible tool for the the full EMI characterization of electrical motors
Efficient Prediction of Stochastic Eye Patterns via Lagrange Interpolation
Full text linkThis letter addresses the statistical assessment of system performance via the efficient estimation of eye diagram parameters under process variability. Statistical information pertaining to eye parameters is reconstructed by interpolation of a reduced set of simulations. The proposed strategy shows a remarkable efficiency improvement with respect to classical blind and brute-force sampling-based methods
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