MATLAB
PID and Predictive Control of Electrical Drives and Power Converters using MATLAB/Simulink
Book Description
PID and Predictive Control of Electric Drives and Power Supplies using MATLAB/Simulink examines the classical control system strategies, such as PID control, feed-forward control and cascade control, which are widely used in current practice. The authors share their experiences in actual design and implementation of the control systems on laboratory test-beds, taking the reader from the fundamentals through to more sophisticated design and analysis. The book contains sections on closed-loop performance analysis in both frequency domain and time domain, presented to help the designer in selection of controller parameters and validation of the control system. Continuous-time model predictive control systems are designed for the drives and power supplies, and operational constraints are imposed in the design. Discrete-time model predictive control systems are designed based on the discretization of the physical models, which will appeal to readers who are more familiar with sampled-data control system. Soft sensors and observers will be discussed for low cost implementation. Resonant control of the electric drives and power supply will be discussed to deal with the problems of bias in sensors and unbalanced three phase AC currents.
Table of Contents
1 Modeling of AC Drives and Power Converter
2 Control of Semiconductor Switches via PWM Technologies
3 PID Control System Design for Electrical Drives and Power Converters
4 PID Control System Implementation
5 Tuning PID Control Systems with Experimental Validations
6 FCS Predictive Control in d − q Reference Frame
7 FCS Predictive Control in Reference Frame
8 Discrete-time Model Predictive Control (DMPC) of Electrical Drives and Power Converter
9 Continuous-time Model Predictive Control (CMPC) of Electrical Drives and PowerConverter
10 MATLAB/Simulink Tutorials on Physical Modeling and Test-bed Setup
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Signals and Systems using MATLAB by Luis Chaparro 1st and 2nd Eds.
Book Description
This new textbook in signals and systems provides a pedagogically rich approach to what can commonly be a mathematically dry subject. With features like historical notes, highlighted common mistakes, and applications in controls, communications, and signal processing, Chaparro helps students appreciate the usefulness of the techniques described in the book. Each chapter contains a section with MatLab applications.• Pedagogically rich introduction to signals and systems using historical notes, pointing out “common mistakes”, and relating concepts to realistic examples throughout to motivate learning the material
Table of Contents
Part 1: Introduction
Chapter 0 – From the Ground Up!
Part 2: Theory and Application of Continuous-Time Signals and Systems
Chapter 1 – Continuous-time Signals
Chapter 2 – Continuous-time Systems
Chapter 3 – The Laplace Transform
Chapter 4 – Frequency Analysis: The Fourier Series
Chapter 5 – Frequency Analysis: The Fourier Transform
Chapter 6 – Application of Laplace Analysis to Control
Chapter 7 – Fourier Analysis in Communications and Filtering
Part 3: Theory and Application of Discrete-Time Signals and Systems
Chapter 8 – Sampling Theory
Chapter 9 – Discrete-time Signals and Systems
Chapter 10 – The Z-transform
Chapter 11 – Fourier Analysis of Discrete-time Signals and Systems
Chapter 12 – Introduction to the Design of Discrete Filters
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Signals and Systems Laboratory with MATLAB by Alex Palamides
Book Description
With its exhaustive coverage of relevant theory, Signals and Systems Laboratory with MATLAB® is a powerful resource that provides simple, detailed instructions on how to apply computer methods to signals and systems analysis. Written for laboratory work in a course on signals and systems, this book presents a corresponding MATLAB implementation for each theoretical concept introduced, making it a powerful learning tool for engineers, scientists, and students alike.
MATLAB code is used in problems and examples presented throughout the book. This code and other learning materials are available in a downloadable supplement.
Due to the extensive—and truly unique—integration of MATLAB throughout this book, the authors provide a complete tutorial on use of the language for signals and systems analysis. With more than 5,000 lines of MATLAB code and more than 700 figures embedded in the text, the material teaches readers how to program in MATLAB and study signals and systems concepts at the same time, giving them the tools to harness the power of computers to quickly assess problems and then visualize their solutions.
Among its many useful features, this book:
Offers complete coverage of the signals and systems theory, starting with elementary signals and concluding with state-space modeling
Contains more than 400 examples and chapter-end solved problems
Executes commands one-by-one at the MATLAB command prompt, and results, along with comments, encouraging students to learn MATLAB on the fly
Additional Pedagogical Features:
A detailed MATLAB tutorial to introduce a beginner programmer to the language
Laboratory exercises that give students hands-on experience and help professors organize a course laboratory component
Presentation of continuous- and discrete-time in parallel fashion, effectively illustrating the similarities and differences between the two
Step-by-step examples that present data in tabular format and usually offer several different solutions to each problem
Table of Contents
Introduction to MATLAB
Signals
Systems
Time Domain System Analysis
Fourier Series
Fourier Transform
Fourier Analysis of Discrete-Time Systems
Frequency Response
Laplace Transform
z-Transform
Transfer Function
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Advanced Engineering Mathematics with MATLAB by Dean G. Duffy – 2nd Ed.
Book Description
This text/reference covers essential areas of engineering mathematics involving single, multiple, and complex variations. Taken as a whole, this book provides a succinct, carefully organized guide for mastering engineering mathematics.
Unlike typical textbooks, Advanced Engineering Mathematics begins with a thorough exploration of complex variables because they provide powerful techniques for understanding topics, such as Fourier, Laplace and z-transforms, introduced later in the text. The book contains a wealth of examples, both classic problems used to illustrate concepts, and interesting real-life examples from scientific literature.
Ideal for a two-semester course on advanced engineering mathematics, Advanced Engineering Mathematics is concise and well-organized, unlike the long, detailed texts used to teach this subject. Since almost every engineer and many scientists need the skills covered in this book for their daily work, Advanced Engineering Mathematics also makes an excellent reference for practicing engineers and scientists.
Table of Contents
COMPLEX VARIABLES
FIRST-ORDER ORDINARY DIFFERENTIAL EQUATIONS
HIGHER-ORDER ORDINARY DIFFERENTIAL EQUATIONS
FOURIER SERIES
THE FOURIER TRANSFORM
THE LAPLACE TRANSFORM
THE Z-TRANSFORM
THE HILBERT TRANSFORM
THE STURM-LIOUVILLE PROBLEM
THE WAVE EQUATION
THE HEAT EQUATION
LAPLACE’S EQUATION
VECTOR CALCULUS
LINEAR ALGEBRA
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Modeling of Digital Communication Systems Using Simulink – Free PDF Download
Book Description
Modeling of Digital Communication Systems Using SIMULINK® introduces the reader to SIMULINK®, an extension of the widely–used MATLAB modeling tool, and the use of SIMULINK® in modeling and simulating digital communication systems, including wireless communication systems. Readers will learn to model a wide selection of digital communications techniques and evaluate their performance for many important channel conditions. Modeling of Digital Communication Systems Using SIMULINK® is organized in two parts. The first addresses Simulink® models of digital communications systems using various modulation, coding, channel conditions and receiver processing techniques. The second part provides a collection of examples, including speech coding, interference cancellation, spread spectrum, adaptive signal processing, Kalman filtering and modulation and coding techniques currently implemented in mobile wireless systems.
Table of Contents
1 Getting Started with Simulink
2 Sinusoidal Simulink Model
3 Digital Communications BER Performance in AWGN (BPSK and QPSK)
4 Digital Communications BER Performance in AWGN (MPSK&QAM)
5 Digital Communications BER Performance in AWGN (FSK and MSK)
6 Digital Communications BER Performance in AWGN (BPSK in Fading)
7 Digital Communications BER Performance in AWGN (FSK in Fading)
8 Digital Communications BER Performance (STBC)
9 Digital Communications BER Performance in AWGN (Block Coding)
10 Digital Communications BER Performance in AWGN (Block Coding and Fading)
11 Digital Communications BER Performance in AWGN and Fading (Convolutional Coding)
12 Adaptive Equalization in Digital Communications
13 Simulink Examples
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Introduction to Simulink: with Engineering Applications
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Title:
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Introduction to Simulink: with Engineering Applications
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Authors:
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Steven T. Karris
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Edition:
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1st – 2006
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Publisher:
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Orchard Pubns
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Pages:
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584
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Language:
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English
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ISBN-10
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0974423971
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ISBN-13
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978-0974423975
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Format:
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PDF
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Size (MB):
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9 | |
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Book Description:
Written for students and practicing engineers, this book gives readers a comprehensive introduction to the Simulink environment and libraries. The book provides detailed explanations of the blocks in all Simulink libraries and provides many real-world examples. Topics include mathematical, dynamics, thermodynamics, and fluid mechanics applications. The revised third edition is updated to guide readers through the entire spectrum of the functional blocks in the Simulink libraries and provides examples for each. Table of Contents: Copyright Disclaimer: |
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Introduction to Random Signals and Applied Kalman Filtering: with Matlab Exercises
Book Description
Advances in computers and personal navigation systems have greatly expanded the applications of Kalman filters. A Kalman filter uses information about noise and system dynamics to reduce uncertainty from noisy measurements. Common applications of Kalman filters include such fast-growing fields as autopilot systems, battery state of charge (SoC) estimation, brain-computer interface, dynamic positioning, inertial guidance systems, radar tracking, and satellite navigation systems.
Table of Contents
PART 1: RANDOM SIGNALS BACKGROUND
Chapter 1 Probability and Random Variables: A Review
Chapter 2 Mathematical Description of Random Signals
Chapter 3 Linear Systems Response, State-space Modeling and Monte Carlo Simulation
PART 2: KALMAN FILTERING AND APPLICATIONS
Chapter 4 Discrete Kalman Filter Basics
Chapter 5 Intermediate Topics on Kalman Filtering
Chapter 6 Smoothing and Further Intermediate Topics
Chapter 7 Linearization, Nonlinear Filtering and Sampling Bayesian Filters
Chapter 8 the “Go-Free” Concept, Complementary Filter and Aided Inertial Examples
Chapter 9 Kalman Filter Applications to the GPS and Other Navigation Systems
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Understanding LTE with MATLAB: From Mathematical Modeling to Simulation and Prototyping
Book Description
This book examines the Physical Layer (PHY) of the LTE standards by incorporating three conceptual elements: an overview of the theory behind key enabling technologies; a concise discussion regarding standard specifications; and the MATLAB® algorithms needed to simulate the standard.
Table of Contents
1 Introduction
2 Overview of the LTE Physical Layer
3 MATLAB® for Communications System Design
4 Modulation and Coding
5 OFDM
6 MIMO
7 Link Adaptation
8 System-Level Specification
9 Simulation
10 Prototyping as C/C++ Code
11 Summary
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System Dynamics for Engineering Students: Concepts and Applications (Free PDF)
Book Description
System Dynamics for Engineering Students: Concepts and Applications discusses the basic concepts of engineering system dynamics. Engineering system dynamics focus on deriving mathematical models based on simplified physical representations of actual systems, such as mechanical, electrical, fluid, or thermal, and on solving the mathematical models. The resulting solution is utilized in design or analysis before producing and testing the actual system.
The book discusses the main aspects of a system dynamics course for engineering students; mechanical, electrical, and fluid and thermal system modeling; the Laplace transform technique; and the transfer function approach. It also covers the state space modeling and solution approach; modeling system dynamics in the frequency domain using the sinusoidal (harmonic) transfer function; and coupled-field dynamic systems.
The book is designed to be a one-semester system-dynamics text for upper-level undergraduate students with an emphasis on mechanical, aerospace, or electrical engineering. It is also useful for understanding the design and development of micro- and macro-scale structures, electric and fluidic systems with an introduction to transduction, and numerous simulations using MATLAB and SIMULINK.
Table of Contents
CHAPTER 1 – Introduction
CHAPTER 2 – Mechanical Systems I
CHAPTER 3 – Mechanical Systems II
CHAPTER 4 – Electrical Systems
CHAPTER 5 – Fluid and Thermal Systems
CHAPTER 6 – The Laplace Transform
CHAPTER 7 – Transfer Function Approach
CHAPTER 8 – State Space Approach
CHAPTER 9 – Frequency-Domain Approach
CHAPTER 10 – Coupled-Field Systems
CHAPTER 11 – Introduction to Modeling and Design of Feedback Control Systems
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MATLAB Linear Algebra (Free PDF Download)
Book Description
MATLAB Linear Algebra introduces you to the MATLAB language with practical hands-on instructions and results, allowing you to quickly achieve your goals. In addition to giving an introduction to the MATLAB environment and MATLAB programming, this book provides all the material needed to work in linear algebra with ease. In addition to exploring MATLAB’s matrix algebra capabilities, it describes the MATLAB commands that are used to create two- and three-dimensional graphics, including explicit, implicit and parametric curve and surface plotting, and various methods of data representation. Methods for manipulating and simplifying algebraic expressions are covered and computational techniques for solving algebraic equations and systems of equations are detailed.
Table of Contents
1. Introducing MATLAB for Linear Algebra
2. MATLAB Variables, Operators and Functions
3. Curves in Explicit, Parametric and Polar Coordinates
4. Algebraic Expressions, Polynomials, Equations and Systems
5. Matrices, Vector Spaces, and Linear Applications
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