Electronic Devices and Amplifier Circuits

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Appendix CIntroduction to Simscape ®This appendix is a brief introduction to the Simscape and its libraries. Our discussion will beon the Foundation, SimElectronics, SimPowerSystems, and Utilities libraries. The Simscapemain library also includes the SimDriveline, SimHydraulics, and SimMechanics libraries,and these will not be discussed in this appendix.C.1 Simscape LibrariesThe Simulink models consist of blocks which represent mathematical operations, addition, subtraction,multiplication, division, differentiation, integration, and combinations of these. A Simulinkmodel is thus a mathematical model of a system to be designed. Simscape, on the other hand,is a set of block libraries in a Physical Network that represents a physical system layout with blocksrepresenting physical components with units of measurement. A Simscape model can also bethought of an engineering drawing from which a system can be assembled.Simscape has its own libraries of blocks and allows us to connect Simulink blocks as sources andsinks such as XY Graphs and Scope blocks. The Simscape libraries discussed in this appendix areshown in Figure C.1. It can be accessed by typing simscape at the MATLAB command prompt orthrough the Simulink Library Browser. The Simulink documentation refers the Foundation andUtilities libraries as top−level libraries.C.1.1 Foundation LibraryFigure C.1. The Simscape libraries discussed in this appendixThe Foundation library contains the blocks shown in Figure C.2Figure C.2. The contents of the Foundation LibraryElectronic Devices and Amplifier Circuits with MATLAB® / Simulink® / SimElectronics® Examples, Third EditionCopyright © Orchard PublicationsC−1
Appendix DProportional−Integral−Derivative (PID) ControllerThis appendix is a brief introduction to the Proportional−Integral−Derivative Controller,briefly known as PID. The components and the functions of a typical PID are described, andtwo examples are presented using the Simulink PID Controller Block and the Simulink PIDController with Approximate Derivative Block.D.1 Description and Components of a Typical PIDA proportional−integral−derivative (PID) controller is a control loop feedback system used inindustrial control systems. A PID controller attempts to correct the error between a measured processvariable and a desired setpoint by calculating and then outputting a corrective action that canadjust the process accordingly.The PID controller calculation contains three separate parameters; the Proportional, the Integral,and Derivative values as shown in Figure D.1.Figure D.1. The components of a typical PIDThe Proportional value determines the reaction to the current error, the Integral determines thereaction based on the sum of recent errors, and the Derivative determines the reaction to the rateat which the error has been changing. The weighted sum of these three actions is used to adjust theprocess via a control element such as the position of a control valve or the power supply of a heatingelement.By adjusting the three constants in the PID controller algorithm the PID can provide controlaction designed for specific process requirements. The response of the controller can be describedin terms of the responsiveness of the controller to an error, the degree to which the controller overshootsthe setpoint and the degree of system oscillation. The use of the PID algorithm for controldoes not necessarily result in an optimal configuration for the system.Electronic Devices and Amplifier Circuits with MATLAB® / Simulink® Examples Third EditionCopyright © Orchard PublicationsD−1
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Electronic Devicesand Amplifier Cir
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PrefaceThis text is an undergraduat
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Table of Contents1 Basic Electronic
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3.17 The Ebers−Moll Transistor Mo
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6 Integrated Circuits6.1 Basic Logi
Page 13 and 14: A10.11 Exercises ..................
Page 15 and 16: 1.4 Bandwidth and Frequency Respons
Page 17 and 18: Chapter 1 Basic Electronic Concepts
Page 19 and 20: The Junction DiodeFigure 2.12. Volt
Page 21 and 22: The minus (−) sign for the curren
Page 23 and 24: 2.20 Solutions to End−of−Chapte
Page 25 and 26: The Bipolar Junction Transistor as
Page 27 and 28: Schottky Diode ClamporUsing the rel
Page 29 and 30: Chapter 4Field Effect Transistors a
Page 31 and 32: Metal Oxide Semiconductor Field Eff
Page 33 and 34: Op Amp Integrator1 tv C = --- iC C
Page 35 and 36: Chapter 5 Operational AmplifiersExa
Page 37 and 38: 5.29 Exercises1. For the circuit be
Page 39 and 40: NAND Gate1A114Vcc1A1B1Y1B1Y2313124B
Page 41 and 42: ExercisesV 1750 ΩT 1V 2750 Ω1 KΩ
Page 43 and 44: Astable Multivibrator with the 555
Page 45 and 46: Chapter 7 Pulse Circuits and Wavefo
Page 47 and 48: Chapter 7 Pulse Circuits and Wavefo
Page 49 and 50: Chapter 8Frequency Characteristics
Page 51 and 52: k3 = 47.92f3 = 3.27 Hzw3 = 20.55 rp
Page 53 and 54: Chapter 9Tuned AmplifiersThis chapt
Page 55 and 56: Cascaded Tuned Amplifiersnary axis.
Page 57 and 58: Hartley Oscillatorpower supply volt
Page 59 and 60: Appendix AIntroduction to MATLAB®T
Page 61 and 62: Introduction to Simulink®Absolute
Page 63: Introduction to Simulink®An outsta
Page 67 and 68: Appendix FSubstitution, Reduction,
Page 69 and 70: IndexSymbols BiCMOS inverter 6-40 c
Page 71 and 72: Miller’s theorem F-10 phase shift
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