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Solving DC and AC Circuits By Example Using MatlabBy Richard E. Haskell, Darrin M. Hanna
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This book uses Matlab as an aid to learning and understanding basic circuit analysis. Most introductory texts on circuit theory introduce Ohm’s law and Kirchhoff’s law very quickly and are then off to the races. This book spends a fair amount of time in Chapter 1 putting these laws and other basic concepts in a historical perspective. This will provide you with the knowledge of where the basic ideas of electrical science come from. Chapter 2 discusses circuit elements including resistors, capacitors, and inductors. Ohm's law is covered in Chapter 2 and Kirchhoff's law's are described in Chapter 3. Sinusoidal signals and phasors are introduced in Chapter 4 where the concept of RMS values are described. This allows both DC and steady-state AC circuits to be solved in subsequent chapters. Examples involving voltage dividers, current division, and source transformation are given in Chapter 5. Circuits that include an ideal operational amplifier (op amp) are described in Chapter 6. Mesh and nodal analysis are covered in Chapter 7 where you will learn to do mesh and nodal analysis by inspection. Chapter 8 covers superposition, Thevenin's theorem, Norton's theorem, and maximum power transfer. Average power and transformers are covered in Chapter 9 and the theory behind the operation of DC motors is given in Chapter 10. Basic material on vectors and matrices are included in the Appendices. By restricting the analysis of AC circuits to sinusoidal signals, no knowledge of differential equations is required. All circuit problems in this book contain only independent voltage and current sources. All worked examples in the book show the calculations using Matlab. In most cases Matlab is used as a calculator and a good scientific calculator could be used to solve most of the examples. The use of Matlab clarifies all of the steps. However, Matlab is also used to create a variety of plots that will help you understand the material.
- Sales Rank: #4803294 in Books
- Published on: 2015-10-17
- Original language: English
- Number of items: 1
- Dimensions: 11.00" h x .58" w x 8.50" l,
- Binding: Paperback
- 256 pages
About the Author
Richard E. Haskell is Emeritus Professor of Engineering in the Department of Electrical and Computer Engineering at Oakland University in Rochester, Michigan. He received his Ph.D. from Rensselaer Polytechnic Institute in 1963. He served on the faculty at Oakland University for 46 years, where he developed and taught a wide variety of undergraduate and graduate courses, including courses in electromagnetic theory, coherent optics, pattern recognition, computer programming, microprocessors, embedded systems and digital design. His research interests included plasma physics, holography and coherent optics, pattern recognition and image processing, computer learning, and microprocessor applications and embedded systems. He is the author of over 30 books, ranging from Plasma Dynamics to Digital Design. Darrin Hanna is Associate Professor of Engineering in Oakland University’s School of Engineering and Computer Science. Dr. Hanna received his Ph.D. in Systems Engineering from Oakland University in May 2003 after receiving the university’s three top awards in scholarship, mathematics and engineering. His research interests include reconfigurable embedded systems, artificial intelligence, and problem-based learning in computer science and engineering. Complementary to his coursework, Dr. Hanna has also successfully transferred research into commercial applications, winning the Michigan Economic Development Corporation’s Michigan Commercialization Success Award. He has taught numerous undergraduate and graduate courses in engineering problem-solving, microprocessors, reconfigurable embedded systems, and digital design using VHDL. A member of IEEE and ASEE, Dr. Hanna actively contributes to the teacher-scholar community, winning the ASEE North Central Section’s best paper awards for three consecutive years and the 2007 IEEE Computer Society's Undergraduate Computer Science and Engineering Teaching Award.
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