29 research outputs found

    PRIMA: passive reduced-order interconnect macromodeling algorithm

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    Parameterized modeling and model order reduction for large electrical systems

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    Bordered Block-Diagonal Preserved Model-Order Reduction for RLC Circuits

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    This thesis details the research of the bordered block-diagonal preserved model-order reduction (BVOR) method and implementation of the corresponding tool designed for facilitating the simulation of industrial, very large sized linear circuits or linear sub-circuits of a nonlinear circuit. The BVOR tool is able to extract the linear RLC parts of the circuit from any given typical SPICE netlist and perform reduction using an appropriate algorithm for optimum efficiency. The implemented algorithms in this tool are bordered block-diagonal matrix solver and bordered block-diagonal matrix based block Arnoldi method

    Circuit theoretical methods for efficient solution of finite element structural mechanics problems

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    Ankara : The Department of Electrical and Electronics Engineering and the Institute of Engineering and Sciences of Bilkent Univ., 1999.Thesis (Ph.D.) -- Bilkent University, 1999.Includes bibliographical references leaves 78-84.Shrinking device dimensions in integrated circuit technology made integrated circuits with millions of components a reality. As a result of this advance, electrical circuit simulators that can handle very large number of components have emerged. These programs use new circuit simulation techniques which approximate the system with reduced order models, and can find solutions accurately and quickly. This study proposes formulating the structural mechanics problems using FEM, and then employing the recent speedup techniques used in circuit simulation. This is obtained by generating an equivalent resistor-inductor-capacitor circuit containing controlled sources. We analyze the circuits with general-purpose circuit simulation programs, HSPICE, and an in-house developed circuit simulation program, MAWE, which makes use of generalized asymptotic waveform evaluation (AWE) technique. AWE is a moment matching technique that has been successfully used in circuit simulation for solutions of large sets of equations. Several examples on the analysis of the displacement distributions in rigid bodies have shown that using circuit simulators instead of conventional FEM solution methods improves simulation speed without a significant loss of accuracy. Pole analysis via congruence transformations (PACT) technique is a recent algorithm used for obtaining lower order models for large circuits. For a further reduction in time, we employed a similar algorithm in structural mechanics problems before obtaining the equivalent circuit. The results are very promising.Ekinci, Ahmet SuatPh.D

    Applications

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    Transient simulation of complex electronic circuits and systems operating at ultra high frequencies

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    The electronics industry worldwide faces increasingly difficult challenges in a bid to produce ultra-fast, reliable and inexpensive electronic devices. Electronic manufacturers rely on the Electronic Design Automation (EDA) industry to produce consistent Computer A id e d Design (CAD) simulation tools that w ill enable the design of new high-performance integrated circuits (IC), the key component of a modem electronic device. However, the continuing trend towards increasing operational frequencies and shrinking device sizes raises the question of the capability of existing circuit simulators to accurately and efficiently estimate circuit behaviour. The principle objective of this thesis is to advance the state-of-art in the transient simulation of complex electronic circuits and systems operating at ultra high frequencies. Given a set of excitations and initial conditions, the research problem involves the determination of the transient response o f a high-frequency complex electronic system consisting of linear (interconnects) and non-linear (discrete elements) parts with greatly improved efficien cy compared to existing methods and with the potential for very high accuracy in a way that permits an effective trade-off between accuracy and computational complexity. High-frequency interconnect effects are a major cause of the signal degradation encountered b y a signal propagating through linear interconnect networks in the modem IC. Therefore, the development of an interconnect model that can accurately and efficiently take into account frequency-dependent parameters of modem non-uniform interconnect is of paramount importance for state-of-art circuit simulators. Analytical models and models based on a set of tabulated data are investigated in this thesis. Two novel, h igh ly accurate and efficient interconnect simulation techniques are developed. These techniques combine model order reduction methods with either an analytical resonant model or an interconnect model generated from frequency-dependent sparameters derived from measurements or rigorous full-wave simulation. The latter part o f the thesis is concerned with envelope simulation. The complex mixture of profoundly different analog/digital parts in a modern IC gives rise to multitime signals, where a fast changing signal arising from the digital section is modulated by a slower-changing envelope signal related to the analog part. A transient analysis of such a circuit is in general very time-consuming. Therefore, specialised methods that take into account the multi-time nature o f the signal are required. To address this issue, a novel envelope simulation technique is developed. This technique combines a wavelet-based collocation method with a multi-time approach to result in a novel simulation technique that enables the desired trade-off between the required accuracy and computational efficiency in a simple and intuitive way. Furthermore, this new technique has the potential to greatly reduce the overall design cycle

    Model Order Reduction

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    An increasing complexity of models used to predict real-world systems leads to the need for algorithms to replace complex models with far simpler ones, while preserving the accuracy of the predictions. This three-volume handbook covers methods as well as applications. This third volume focuses on applications in engineering, biomedical engineering, computational physics and computer science

    Structure-Preserving Model Reduction of Physical Network Systems

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    This paper considers physical network systems where the energy storage is naturally associated to the nodes of the graph, while the edges of the graph correspond to static couplings. The first sections deal with the linear case, covering examples such as mass-damper and hydraulic systems, which have a structure that is similar to symmetric consensus dynamics. The last section is concerned with a specific class of nonlinear physical network systems; namely detailed-balanced chemical reaction networks governed by mass action kinetics. In both cases, linear and nonlinear, the structure of the dynamics is similar, and is based on a weighted Laplacian matrix, together with an energy function capturing the energy storage at the nodes. We discuss two methods for structure-preserving model reduction. The first one is clustering; aggregating the nodes of the underlying graph to obtain a reduced graph. The second approach is based on neglecting the energy storage at some of the nodes, and subsequently eliminating those nodes (called Kron reduction).</p

    Automatic Stability Checking for Large Analog Circuits

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    Small signal stability has always been an important concern for analog designers. Recent advances such as the Loop Finder algorithm allows designers to detect and identify local, potentially unstable return loops without the need to identify and add breakpoints. However, this method suffers from extremely high time and memory complexity and thus cannot be scaled to very large analog circuits. In this research work, we first take an in-depth look at the loop finder algorithm so as to identify certain key enhancements that can be made to overcome these shortcomings. We next propose pole discovery and impedance computation methods that address these shortcomings by exploring only a certain region of interest in the s-plane. The reduced time and memory complexity obtained via the new methodology allows us to extend automatic stability checking to much larger circuits than was previously possible
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