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Your step-by-step guide to designing and programming electronics KEY FEATURES ● Create interactive and responsive electronic systems by constructing sensor-based Arduino projects. ● Learn how to apply and simulate Analog devices in diverse electronic applications. ● Design custom circuit boards using TI tools through PCB learning. DESCRIPTION Simulation plays a vital role in the design of electronics-based projects, as it effectively saves time and money for users by eliminating the need for hardware trial and error. If you want to understand the significance of simulation as an indispensable tool for efficiently iterating, analyzing, and optimizing your electronic projects, this book is a valuable resource. This book introduces you to the essential tools commonly used by professional electronic project designers. Through this guide, you will gain the ability to select various components suitable for your projects and simulate them without fear of causing any damage. Additionally, the book provides instruction on using diverse simulation tools, enabling you to undertake a wide range of projects—such as building power supplies, designing PCBs, and integrating sensors with microprocessors/microcontrollers. By gaining familiarity with design and simulation tools throughout the project development process, this book aims to empower project builders, transforming them into self-assured and capable designers. WHAT YOU WILL LEARN ● Streamline the design process in electronics using the Webench (TI) tool. ● Design power supplies using the TI Webench for efficient and reliable electronic devices. ● Achieve precise and effective filtering in electronic circuits using the TI Filter Designer. ● Master Filter Design techniques for signal processing and noise reduction. ● Gain comprehensive circuit analysis skills by exploring the TI analog simulation tool and understanding basic circuits. WHO THIS BOOK IS FOR This book targets students, electronics and computer graduates, robotics hobbyists, and individuals interested in creating their own electronic gadgets. It serves as a guide for beginners by introducing basic electronic concepts and the functioning of commonly used components. For expert users, it acts as a refresher, ensuring a comprehensive understanding of electronics. TABLE OF CONTENTS 1. Introduction to the World of Electronics—1—Passive Elements 2. Introduction to the World of Electronics—2—Active Elements 3. Basic Arduino Projects Using Tinkercad 4. Sensor-based Arduino Projects 5. Getting Started with WEBENCH Tool by TI 6. Power Supply Design with TI WEBENCH 7. TI Filter Designer 8. Filter Design 9. TI Analog Devices Simulation and Basic Circuits 10. Analog Device Simulation and Applications 11. PCB Designing TI Tool 12. PCB Thermal Calculation
Presents applied theory and advanced simulation techniques for electric machines and drives This book combines the knowledge of experts from both academia and the software industry to present theories of multiphysics simulation by design for electrical machines, power electronics, and drives. The comprehensive design approach described within supports new applications required by technologies sustaining high drive efficiency. The highlighted framework considers the electric machine at the heart of the entire electric drive. The book also emphasizes the simulation by design concept—a concept that frames the entire highlighted design methodology, which is described and illustrated by various advanced simulation technologies. Multiphysics Simulation by Design for Electrical Machines, Power Electronics and Drives begins with the basics of electrical machine design and manufacturing tolerances. It also discusses fundamental aspects of the state of the art design process and includes examples from industrial practice. It explains FEM-based analysis techniques for electrical machine design—providing details on how it can be employed in ANSYS Maxwell software. In addition, the book covers advanced magnetic material modeling capabilities employed in numerical computation; thermal analysis; automated optimization for electric machines; and power electronics and drive systems. This valuable resource: Delivers the multi-physics know-how based on practical electric machine design methodologies Provides an extensive overview of electric machine design optimization and its integration with power electronics and drives Incorporates case studies from industrial practice and research and development projects Multiphysics Simulation by Design for Electrical Machines, Power Electronics and Drives is an incredibly helpful book for design engineers, application and system engineers, and technical professionals. It will also benefit graduate engineering students with a strong interest in electric machines and drives.
This book provides broad and comprehensive coverage of the entire EDA flow. EDA/VLSI practitioners and researchers in need of fluency in an "adjacent" field will find this an invaluable reference to the basic EDA concepts, principles, data structures, algorithms, and architectures for the design, verification, and test of VLSI circuits. Anyone who needs to learn the concepts, principles, data structures, algorithms, and architectures of the EDA flow will benefit from this book. Covers complete spectrum of the EDA flow, from ESL design modeling to logic/test synthesis, verification, physical design, and test - helps EDA newcomers to get "up-and-running" quickly Includes comprehensive coverage of EDA concepts, principles, data structures, algorithms, and architectures - helps all readers improve their VLSI design competence Contains latest advancements not yet available in other books, including Test compression, ESL design modeling, large-scale floorplanning, placement, routing, synthesis of clock and power/ground networks - helps readers to design/develop testable chips or products Includes industry best-practices wherever appropriate in most chapters - helps readers avoid costly mistakes
This description of the structure of simulators suitable for use in the design of digital electronic systems includes the compiled code and event driven algorithms for digital electronic system simulators, together with timing verification as well as structural limitations and problems.
Simulation based on mathematical models plays a major role in computer aided design of integrated circuits (ICs). Decreasing structure sizes, increasing packing densities and driving frequencies require the use of refined mathematical models, and to take into account secondary, parasitic effects. This leads to very high dimensional problems which nowadays require simulation times too large for the short time-to-market demands in industry. Modern Model Order Reduction (MOR) techniques present a way out of this dilemma in providing surrogate models which keep the main characteristics of the device while requiring a significantly lower simulation time than the full model. With Model Reduction for Circuit Simulation we survey the state of the art in the challenging research field of MOR for ICs, and also address its future research directions. Special emphasis is taken on aspects stemming from miniturisations to the nano scale. Contributions cover complexity reduction using e.g., balanced truncation, Krylov-techniques or POD approaches. For semiconductor applications a focus is on generalising current techniques to differential-algebraic equations, on including design parameters, on preserving stability, and on including nonlinearity by means of piecewise linearisations along solution trajectories (TPWL) and interpolation techniques for nonlinear parts. Furthermore the influence of interconnects and power grids on the physical properties of the device is considered, and also top-down system design approaches in which detailed block descriptions are combined with behavioral models. Further topics consider MOR and the combination of approaches from optimisation and statistics, and the inclusion of PDE models with emphasis on MOR for the resulting partial differential algebraic systems. The methods which currently are being developed have also relevance in other application areas such as mechanical multibody systems, and systems arising in chemistry and to biology. The current number of books in the area of MOR for ICs is very limited, so that this volume helps to fill a gap in providing the state of the art material, and to stimulate further research in this area of MOR. Model Reduction for Circuit Simulation also reflects and documents the vivid interaction between three active research projects in this area, namely the EU-Marie Curie Action ToK project O-MOORE-NICE (members in Belgium, The Netherlands and Germany), the EU-Marie Curie Action RTN-project COMSON (members in The Netherlands, Italy, Germany, and Romania), and the German federal project System reduction in nano-electronics (SyreNe).
This edited volume is devoted to the now-ubiquitous use of computational models across most disciplines of engineering and science, led by a trio of world-renowned researchers in the field. Focused on recent advances of modeling and optimization techniques aimed at handling computationally-expensive engineering problems involving simulation models, this book will be an invaluable resource for specialists (engineers, researchers, graduate students) working in areas as diverse as electrical engineering, mechanical and structural engineering, civil engineering, industrial engineering, hydrodynamics, aerospace engineering, microwave and antenna engineering, ocean science and climate modeling, and the automotive industry, where design processes are heavily based on CPU-heavy computer simulations. Various techniques, such as knowledge-based optimization, adjoint sensitivity techniques, and fast replacement models (to name just a few) are explored in-depth along with an array of the latest techniques to optimize the efficiency of the simulation-driven design process. High-fidelity simulation models allow for accurate evaluations of the devices and systems, which is critical in the design process, especially to avoid costly prototyping stages. Despite this and other advantages, the use of simulation tools in the design process is quite challenging due to associated high computational cost. The steady increase of available computational resources does not always translate into the shortening of the design cycle because of the growing demand for higher accuracy and necessity to simulate larger and more complex systems. For this reason, automated simulation-driven design—while highly desirable—is difficult when using conventional numerical optimization routines which normally require a large number of system simulations, each one already expensive.
Computer-aided full-wave electromagnetic (EM) analysis has been used in microwave engineering for the past decade. Initially, its main application area was design verification. Today, EM-simulation-driven optimization and design closure become increasingly important due to the complexity of microwave structures and increasing demands for accuracy. In many situations, theoretical models of microwave structures can only be used to yield the initial designs that need to be further fine-tuned to meet given performance requirements. In addition, EM-based design is a must for a growing number of microwave devices such as ultra-wideband (UWB) antennas, dielectric resonator antennas and substrate-integrated circuits. For circuits like these, no design-ready theoretical models are available, so design improvement can only be obtained through geometry adjustments based on repetitive, time-consuming simulations. On the other hand, various interactions between microwave devices and their environment, such as feeding structures and housing, must be taken into account, and this is only possible through full-wave EM analysis.Electromagnetic simulations can be highly accurate, but they tend to be computationally expensive. Therefore, practical design optimization methods have to be computationally efficient, so that the number of CPU-intensive high-fidelity EM simulations is reduced as much as possible during the design process. For the same reasons, techniques for creating fast yet accurate models of microwave structures become crucially important.In this edited book, the authors strive to review the state-of-the-art simulation-driven microwave design optimization and modeling. A group of international experts specialized in various aspects of microwave computer-aided design summarize and review a wide range of the latest developments and real-world applications. Topics include conventional and surrogate-based design optimization techniques, methods exploiting adjoint sensitivity, simulation-based tuning, space mapping, and several modeling methodologies, such as artificial neural networks and kriging. Applications and case studies include microwave filters, antennas, substrate integrated structures and various active components and circuits. The book also contains a few introductory chapters highlighting the fundamentals of optimization and modeling, gradient-based and derivative-free algorithms, metaheuristics, and surrogate-based optimization techniques, as well as finite difference and finite element methods./a
Publisher's Note: Products purchased from Third Party sellers are not guaranteed by the publisher for quality, authenticity, or access to any online entitlements included with the product. Learn the principles and practices of simulation-based analog IC design This comprehensive textbook and on-the-job reference offers clear instruction on analog integrated circuit design using the latest simulation techniques. Ideal for graduate students and professionals alike, the book shows, step by step, how to develop and deploy integrated circuits for cutting-edge Internet of Things (IoT) and other applications. Analog Integrated Circuit Design by Simulation: Techniques, Tools, and Methods lays out practical, ready-to-apply engineering strategies. Application layer, device layer, and circuit layer IC design are covered in complete detail. You will learn how to tackle real-world design problems and avoid long cycles of trial and error. Coverage includes: •First-order DC response•Unified closed-loop model•Accurate modeling of DC response•Frequency and step response•Multi-pole dynamic response and stability•Effect of external network on differential gain•Continuous-time and discrete-time amplifiers•MOSFET, NMOS, and PMOS characteristics•Small-signal modeling and circuit analysis•Resistor and capacitor design•Current sources, sinks, and mirrors•Basic, symmetrical, folded-cascode, and Miller OTAs•Opamps with source-follower and common-source output stages•Fully differential OTAs and opamps
Focused on efficient simulation-driven multi-fidelity optimization techniques, this monograph on simulation-driven optimization covers simulations utilizing physics-based low-fidelity models, often based on coarse-discretization simulations or other types of simplified physics representations, such as analytical models. The methods presented in the book exploit as much as possible any knowledge about the system or device of interest embedded in the low-fidelity model with the purpose of reducing the computational overhead of the design process. Most of the techniques described in the book are of response correction type and can be split into parametric (usually based on analytical formulas) and non-parametric, i.e., not based on analytical formulas. The latter, while more complex in implementation, tend to be more efficient. The book presents a general formulation of response correction techniques as well as a number of specific methods, including those based on correcting the low-fidelity model response (output space mapping, manifold mapping, adaptive response correction and shape-preserving response prediction), as well as on suitable modification of design specifications. Detailed formulations, application examples and the discussion of advantages and disadvantages of these techniques are also included. The book demonstrates the use of the discussed techniques for solving real-world engineering design problems, including applications in microwave engineering, antenna design, and aero/hydrodynamics.
This book is a useful reference for practicing electrical engineers as well as a textbook for a junior/senior or graduate level course in electrical engineering. The authors combine two subjects: device modeling and circuit simulation - by providing a large number of well-prepared examples of circuit simulations immediately following the description of many device models.