Using this book as a guide, Pressman promises, even a novice can immediately design a complete switching power supply circuit. No other book has such complete instruction in one volume. Using a tutorial, how-to approach, Pressman covers every aspect of this new technology, including circuit and transformer design, using higher switching frequencies, new topologies, and integrated PWM chips. For this latest edition, Pressman has added in-depth discussion of power factor correction, high-frequency ballasts for fluorescent lamps, and low-input voltage power supplies for laptop computers.
Table of contents
Part I:Fundamental Switching Regulators Buck, Boost, and Investor Topologies.Push-Pull and Forward Converter Topologies.Half- and Full-Bridge Converter Topologies.Flyback Converter Topologies.Current-Mode and Current-Fed Topologies.Miscellaneous Topologies.Part II: Magnetics and Circuits Designs.Transformer and Magnetic Design.Bipolar Power Translator Base Drives.MOSFET Power Transistors and Input Drive Circuits.Magnetic-Amplifier Postregulators.Turnon, Turnoff Switching Losses and Snubbers.Feedback-Loop Stabilization.Resonant Converters.Part III: Typical Switching Power Supply Warehouse.Part IV: Newer Applications for Switching Power Supply Technique.Power Factor, Power Factor Correction.High-Frequency Power Sources for Fluorescent Lamps.Low-Input-Voltage Regulators for Laptop Computers and Portable Electronics.

Switching Power Supply Design

In this tutorial, the utility of a fuzzy system is demonstrated by providing a broad overview, emphasizing analog mode hardware, along with a discussion of the author's original work. First, the difference between deterministic words and fuzzy words is explained as well as fuzzy logic. The description of the system using mathematical equations, linguistic rules, or parameter distributions (e.g., neural networks) is discussed. Fuzzy inference and defuzzification algorithms are presented, and their hardware implementation is discussed. The fuzzy logic controller was used to stabilize a glass with wine balanced on a finger and a mouse moving around a plate on the tip of an inverted pendulum. >

A fuzzy inference engine in nonlinear analog mode and its application to a fuzzy logic control

Theory and Application of the Z-Transform Method

In this paper, the authors propose a new variable-structure (switching) method for the prevention of proportional-integral-derivative controller integrator windup in both continuous and discrete-time implementations. The method is easily implemented and tuned by practicing engineers. This new method is compared with several existing methods for the prevention of integrator windup.

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Variable-structure PID control to prevent integrator windup

Typically, a real–time system consists of a a controlling system and a controlled system. In an automated factory, the controlled system is the factory floor with its robots, assembling stations, and the assembled parts, while the controlling system is the computer and human interfaces that manage and coordinate the activities on the factory floor. Thus, the controlled system can be viewed as the environment with which the computer interacts. The controlling system interacts with its environment based on the data available about the environment, say from various sensors, e.g. temperature and pressure sensors. It is imperative that the state of the environment, as perceived by the controlling system, be consistent with the actual state of the environment. Otherwise, the effects of the controlling systems’ activities may be disastrous. Hence, timely monitoring of the environment as well as timely processing of the sensed information is necessary. The sensed data is processed further to derive new data. For example, the temperature and pressure information pertaining to a reaction may be used to derive the rate at which the reaction appears to be progressing. This derivation typically would depend on past temperature and pressure trends and so some of the needed information may have to be fetched from archival storage. Based on the derived data, where the derivation may involve multiple steps, actuator commands are set. For instance, in our example, the derived reaction rate is used to determine the amount of chemicals or coolant to be added to the reaction. In general, the history of (interactions with) the environment are also logged in archival storage. In addition to the timing constraints that arise from the need to continuously track the environment, timing correctness requirements in a real–time (database) system also arise because of the need to make data available to the controlling system for its decision-making activities. If the computer controlling a robot does not command it to stop or turn on time, the robot might collide with another object on the factory floor. Needless to say, such a mishap can result in a major catastrophe. Besides robotics, applications such as medical patient monitoring, programmed stock trading, and military command and control systems like submarine contact tracking require timely actions as well as the ability to access and store complex data that reflects the state of the application’s environment. That is, data in these applications must be valid, or fresh, when it is accessed in order for the application to perform correctly. In a patient monitoring system, data such as heart rate, temperature, and blood pressure must be collected periodically. Transactions that monitor the danger level of a patient’s status must be performed within a specified time, and the data must be accessed within an interval that defines the validity of the data. If not, the computations made by the transactions do not reflect the current state of the patient’s health. A traditional database provides some of the functionality required by these applications, such as coordination of concurrent actions and consistent access to shared data. But they do not provide for enforcement of the

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Real-Time Databases and Data Services

During the 1960's, with the introduction of digital computers, we have witnessed an intensive activity in discrete-data control systems [1]-[9]. With the recent invention of the “ubiquitous” microprocessors, there is a renewed interest in digital control systems [10]-[15]. The present book by Phillips and Nagle is one of such recent books.

C. R. Phillips

Papers

Digital control system analysis and design