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This document discusses the computation of the discrete Fourier transform (DFT) using radix-2 fast Fourier transform (FFT) algorithms. It provides information on decimation-in-time and decimation-in-frequency algorithms, and discusses properties like whether the algorithms are in-place, whether input/output is in normal order, and whether coefficients need to be stored in bit-reversed order. It also contains problems and solutions related to implementing DFTs and FFTs, including modifying algorithms, rearranging data, and optimizing programs to reduce computations.
I am Charles B. I am a Computer Science Homework Help Expert at eduassignmenthelp.com.. I hold a Master's Degree in computer science, Texas University, USA. I have been helping students with their homework for the past 7 years. I solve assignments related to Computer Science.
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I am Martin J. I am a Digital Signal Processing Assignment Expert at matlabassignmentexperts.com. I hold a Ph.D. in Matlab, Arizona University, USA. I have been helping students with their homework for the past 6 years. I solve assignments related to Digital Signal Processing.
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I am Boris M. I am a Computer Science Assignment Help Expert at programminghomeworkhelp.com. I hold MSc. in Programming, McGill University, Canada. I have been helping students with their homework for the past 7 years. I solve assignments related to Computer Science.
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I am Danny G . I am an Electrical Engineering Assignment Expert at matlabassignmentexperts.com. I hold a Ph.D. Matlab, Schiller International University, USA. I have been helping students with their homework for the past 9 years. I solve assignments related to Electrical Engineering.
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I am Bing Jr. I am a Signal Processing Assignment Expert at matlabassignmentexperts.com. I hold a Master's in Matlab Deakin University, Australia. I have been helping students with their assignments for the past 9 years. I solve assignments related to Signal Processing.
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This document discusses the computation of the discrete Fourier transform (DFT) using radix-2 fast Fourier transform (FFT) algorithms. It provides information on decimation-in-time and decimation-in-frequency algorithms, and discusses properties like whether the algorithms are in-place, whether input/output is in normal order, and whether coefficients need to be stored in bit-reversed order. It also contains problems and solutions related to implementing DFTs and FFTs, including modifying algorithms, rearranging data, and optimizing programs to reduce computations.
I am Lawrence B. I am a Signal Processing Assignment Expert at matlabassignmentexperts.com. I hold a Masters's in Matlab from, Durham University, UK. I have been helping students with their assignments for the past 5 years. I solve assignments related to Signal Processing.
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I am Kennedy L. I am a Digital Signal Processing Assignment Expert at matlabassignmentexperts.com. I hold a Ph.D. in Matlab, Monash University, Australia. I have been helping students with their homework for the past 6 years. I solve assignments related to Digital Signal Processing.
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I am Anastasia S. I am a Signal Processing Assignment Expert at matlabassignmentexperts.com. I hold a Masters's in Matlab from, Clemson University, USA. I have been helping students with their assignments for the past 6 years. I solve assignments related to Signal Processing.
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The document provides homework problems and solutions related to signals processing. It includes problems on determining the frequency and period of signals, properties of even and odd signals, sampling of continuous signals, and periodicity of sums of signals. It also provides detailed solutions and explanations to each problem.
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This document discusses the design of digital controllers using root locus analysis. It provides examples of designing proportional controllers for first and second order systems to meet specifications on damping ratio, natural frequency, and settling time. The procedures involve constructing root loci, determining breakaway points and critical gains, and using the MATLAB root locus tool to plot contours and obtain design values for proportional gain.
The document discusses the Nyquist stability criterion for analyzing the stability of sampled-data control systems. It begins by defining the Nyquist criterion and contour, and how they can be used to determine the number of closed-loop poles outside the unit circle (Z). It then provides an example showing how to apply the Nyquist criterion by plotting the loop gain and counting encirclements of the critical point. The document also discusses modifications to the Nyquist contour when open-loop poles are on the unit circle and defines the Nyquist criterion theorem.
This document contains practice problems for a digital signal processing course. It includes 6 sections with multiple parts each:
1) Computing the discrete Fourier transform (DFT) and fast Fourier transform (FFT) of various sequences and plotting the results.
2) Computing the FFT of sequences and plotting the phase and magnitude.
3) Using a decimation in time FFT algorithm to find the DFT of sequences and plotting the results.
4) Questions about sampling an audio signal and computing the DFT and FFT.
5) Determining the circular convolution between two sequences.
6) Computing the circular convolution of two sequences using the DFT, along with related questions.
This document discusses algorithms for solving the feedback vertex set problem, which aims to find the minimum number of nodes that need to be removed from a graph to make it acyclic. It describes several algorithms including a naive algorithm, fixed parameter tractable algorithm, 2-approximation algorithm, disjoint feedback vertex set algorithm, and randomized algorithm. For each algorithm, it provides definitions, pseudocode, and an example to illustrate how it works. The document concludes that this problem remains an active area of research to develop more efficient algorithms.
This document provides the solution to an algorithms assignment involving minimum spanning trees. It includes:
1) Representations of the graph as an adjacency matrix and list
2) Pseudocode for Prim's and Kruskal's algorithms for finding minimum spanning trees
3) Step-by-step examples of applying Prim's and Kruskal's algorithms to a graph representing connecting houses with cable
4) A comparison of the time complexities of Prim's and Kruskal's algorithms using Big-O and Big-Theta notation
I am Green J. I am a Signal Processing Assignment Expert at matlabassignmentexperts.com. I hold a Ph.D. in Matlab, University of Oxford, UK. I have been helping students with their assignments for the past 10 years. I solve assignments related to Signal Processing.
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I am Walter G. I am a Signal Processing Assignment Expert at matlabassignmentexperts.com. I hold a Master's in Matlab, Oxford University, UK. I have been helping students with their assignments for the past 7 years. I solve assignments related to Signal Processing.
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This document contains 10 problems (P.1 through P.10) related to signal modulation and filtering systems. Each problem provides a figure and asks the reader to analyze and/or design some aspect of the system. For example, problem P.1 asks the reader to sketch the Fourier transforms of signals in a given modulation system and indicate whether one signal is equal to another. The document also contains solutions (S.1 through S.10) that analyze each problem in detail through mathematical analysis and additional figures.
Modern Control - Lec 04 - Analysis and Design of Control Systems using Root L...Amr E. Mohamed
The document provides an overview of root locus analysis and design of control systems. It begins with an introduction to root locus including motivation, definition, and the basic feedback control system model. It then covers the key rules and steps for constructing and interpreting root loci, including determining asymptotes, breakaway/break-in points, and imaginary axis crossings. Three examples are worked through step-by-step to demonstrate how to apply the rules and steps to sketch root loci for different open-loop transfer functions. The document explains how root locus can be used to choose controller parameters to satisfy transient performance requirements.
I am Boniface P. I am a Signal Processing Assignment Expert at matlabassignmentexperts.com. I hold a Master's in Matlab, the University of Edinburg. I have been helping students with their assignments for the past 13 years. I solve assignments related to Signal Processing.
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You can also call on +1 678 648 4277 for any assistance with Signal Processing Assignment.
A study on_contrast_and_comparison_between_bellman-ford_algorithm_and_dijkstr...Khoa Mac Tu
This document compares the Bellman-Ford algorithm and Dijkstra's algorithm for finding shortest paths in graphs. Both algorithms can be used to find single-source shortest paths, but Bellman-Ford can handle graphs with negative edge weights while Dijkstra's algorithm cannot. Bellman-Ford has a worst-case time complexity of O(n^2) while Dijkstra's algorithm has a better worst-case time complexity of O(n^2). However, Dijkstra's algorithm is more efficient in practice for graphs with non-negative edge weights. The document provides pseudocode to describe the procedures of each algorithm.
The document discusses root locus techniques for analyzing control systems. It begins with an overview and objectives of root locus analysis. It then defines the root locus and describes how to sketch a root locus by determining the starting and ending points, branches, symmetry, behavior at infinity, and real axis segments. The document provides examples of using properties of root loci to find breakaway and break-in points, asymptotes, and the frequency and gain at imaginary axis crossings.
Reduction of multiple subsystem [compatibility mode]azroyyazid
This document discusses techniques for reducing multiple subsystems to a single transfer function. It covers block diagram algebra and Manson's rule. Block diagram algebra can be used to reduce block diagrams representing cascaded, parallel, and feedback subsystems into equivalent single transfer functions. The key techniques are collapsing summing junctions and forming equivalent cascaded, parallel, and feedback systems. Signal-flow graphs also represent subsystems and can be reduced using Manson's rule by writing equations for each signal as the sum of incoming signals times their transfer functions. Examples demonstrate reducing various block diagrams and signal-flow graphs to equivalent single transfer functions.
DSP_FOEHU - Lec 08 - The Discrete Fourier TransformAmr E. Mohamed
The document discusses the Discrete Fourier Transform (DFT). It explains that while the discrete-time Fourier transform (DTFT) and z-transform are not numerically computable, the DFT avoids this issue. The DFT represents periodic sequences as a sum of complex exponentials with frequencies that are integer multiples of the fundamental frequency. It can be viewed as computing samples of the DTFT or z-transform at discrete frequency points, allowing numerical computation. The DFT provides a link between the time and frequency domain representations of a finite-length sequence.
This document provides an overview of complex power in electrical systems. It defines phasor representation using complex exponentials to simplify analysis of constant frequency AC circuits. It describes how real and reactive power can be calculated from voltage and current phasors and discusses power factor. The document also discusses reactive compensation using capacitors to improve power factor by supplying reactive power locally. It provides an example of power factor correction and introduces balanced three-phase power systems with both wye and delta connections.
The document advertises free solution manuals and textbooks for many university-level books. It states that the solution manuals contain fully solved and clearly explained solutions to all the exercises in the textbooks. It encourages visiting the website to download the files for free.
I am Lawrence B. I am a Signal Processing Assignment Expert at matlabassignmentexperts.com. I hold a Masters's in Matlab from, Durham University, UK. I have been helping students with their assignments for the past 5 years. I solve assignments related to Signal Processing.
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I am Kennedy L. I am a Digital Signal Processing Assignment Expert at matlabassignmentexperts.com. I hold a Ph.D. in Matlab, Monash University, Australia. I have been helping students with their homework for the past 6 years. I solve assignments related to Digital Signal Processing.
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You can also call on +1 678 648 4277 for any assistance with Digital Signal Processing Assignments.
I am Anastasia S. I am a Signal Processing Assignment Expert at matlabassignmentexperts.com. I hold a Masters's in Matlab from, Clemson University, USA. I have been helping students with their assignments for the past 6 years. I solve assignments related to Signal Processing.
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The document provides homework problems and solutions related to signals processing. It includes problems on determining the frequency and period of signals, properties of even and odd signals, sampling of continuous signals, and periodicity of sums of signals. It also provides detailed solutions and explanations to each problem.
I am Kefa J. I am a Computer Science Assignment Help Expert at programminghomeworkhelp.com. I hold an Ph.D. in Programming, Princeton University, USA Profession.. I have been helping students with their homework for the past 5 years. I solve assignments related to Computer Science.
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I am Simon M. I am an Environmental Engineering Assignment Expert at matlabassignmentexperts.com. I hold a Ph.D. in Environmental Engineering, Glasgow University, UK. I have been helping students with their assignments for the past 8 years. I solve assignments related to Environmental Engineering.
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This document discusses the design of digital controllers using root locus analysis. It provides examples of designing proportional controllers for first and second order systems to meet specifications on damping ratio, natural frequency, and settling time. The procedures involve constructing root loci, determining breakaway points and critical gains, and using the MATLAB root locus tool to plot contours and obtain design values for proportional gain.
The document discusses the Nyquist stability criterion for analyzing the stability of sampled-data control systems. It begins by defining the Nyquist criterion and contour, and how they can be used to determine the number of closed-loop poles outside the unit circle (Z). It then provides an example showing how to apply the Nyquist criterion by plotting the loop gain and counting encirclements of the critical point. The document also discusses modifications to the Nyquist contour when open-loop poles are on the unit circle and defines the Nyquist criterion theorem.
This document contains practice problems for a digital signal processing course. It includes 6 sections with multiple parts each:
1) Computing the discrete Fourier transform (DFT) and fast Fourier transform (FFT) of various sequences and plotting the results.
2) Computing the FFT of sequences and plotting the phase and magnitude.
3) Using a decimation in time FFT algorithm to find the DFT of sequences and plotting the results.
4) Questions about sampling an audio signal and computing the DFT and FFT.
5) Determining the circular convolution between two sequences.
6) Computing the circular convolution of two sequences using the DFT, along with related questions.
This document discusses algorithms for solving the feedback vertex set problem, which aims to find the minimum number of nodes that need to be removed from a graph to make it acyclic. It describes several algorithms including a naive algorithm, fixed parameter tractable algorithm, 2-approximation algorithm, disjoint feedback vertex set algorithm, and randomized algorithm. For each algorithm, it provides definitions, pseudocode, and an example to illustrate how it works. The document concludes that this problem remains an active area of research to develop more efficient algorithms.
This document provides the solution to an algorithms assignment involving minimum spanning trees. It includes:
1) Representations of the graph as an adjacency matrix and list
2) Pseudocode for Prim's and Kruskal's algorithms for finding minimum spanning trees
3) Step-by-step examples of applying Prim's and Kruskal's algorithms to a graph representing connecting houses with cable
4) A comparison of the time complexities of Prim's and Kruskal's algorithms using Big-O and Big-Theta notation
I am Green J. I am a Signal Processing Assignment Expert at matlabassignmentexperts.com. I hold a Ph.D. in Matlab, University of Oxford, UK. I have been helping students with their assignments for the past 10 years. I solve assignments related to Signal Processing.
Visit matlabassignmentexperts.com or email info@matlabassignmentexperts.com. You can also call on +1 678 648 4277 for any assistance with Signal Processing Assignments.
I am Walter G. I am a Signal Processing Assignment Expert at matlabassignmentexperts.com. I hold a Master's in Matlab, Oxford University, UK. I have been helping students with their assignments for the past 7 years. I solve assignments related to Signal Processing.
Visit matlabassignmentexperts.com or email info@matlabassignmentexperts.com.
You can also call on +1 678 648 4277 for any assistance with Signal Processing Assignment.
This document contains 10 problems (P.1 through P.10) related to signal modulation and filtering systems. Each problem provides a figure and asks the reader to analyze and/or design some aspect of the system. For example, problem P.1 asks the reader to sketch the Fourier transforms of signals in a given modulation system and indicate whether one signal is equal to another. The document also contains solutions (S.1 through S.10) that analyze each problem in detail through mathematical analysis and additional figures.
Modern Control - Lec 04 - Analysis and Design of Control Systems using Root L...Amr E. Mohamed
The document provides an overview of root locus analysis and design of control systems. It begins with an introduction to root locus including motivation, definition, and the basic feedback control system model. It then covers the key rules and steps for constructing and interpreting root loci, including determining asymptotes, breakaway/break-in points, and imaginary axis crossings. Three examples are worked through step-by-step to demonstrate how to apply the rules and steps to sketch root loci for different open-loop transfer functions. The document explains how root locus can be used to choose controller parameters to satisfy transient performance requirements.
I am Boniface P. I am a Signal Processing Assignment Expert at matlabassignmentexperts.com. I hold a Master's in Matlab, the University of Edinburg. I have been helping students with their assignments for the past 13 years. I solve assignments related to Signal Processing.
Visit matlabassignmentexperts.com or email info@matlabassignmentexperts.com.
You can also call on +1 678 648 4277 for any assistance with Signal Processing Assignment.
A study on_contrast_and_comparison_between_bellman-ford_algorithm_and_dijkstr...Khoa Mac Tu
This document compares the Bellman-Ford algorithm and Dijkstra's algorithm for finding shortest paths in graphs. Both algorithms can be used to find single-source shortest paths, but Bellman-Ford can handle graphs with negative edge weights while Dijkstra's algorithm cannot. Bellman-Ford has a worst-case time complexity of O(n^2) while Dijkstra's algorithm has a better worst-case time complexity of O(n^2). However, Dijkstra's algorithm is more efficient in practice for graphs with non-negative edge weights. The document provides pseudocode to describe the procedures of each algorithm.
The document discusses root locus techniques for analyzing control systems. It begins with an overview and objectives of root locus analysis. It then defines the root locus and describes how to sketch a root locus by determining the starting and ending points, branches, symmetry, behavior at infinity, and real axis segments. The document provides examples of using properties of root loci to find breakaway and break-in points, asymptotes, and the frequency and gain at imaginary axis crossings.
Reduction of multiple subsystem [compatibility mode]azroyyazid
This document discusses techniques for reducing multiple subsystems to a single transfer function. It covers block diagram algebra and Manson's rule. Block diagram algebra can be used to reduce block diagrams representing cascaded, parallel, and feedback subsystems into equivalent single transfer functions. The key techniques are collapsing summing junctions and forming equivalent cascaded, parallel, and feedback systems. Signal-flow graphs also represent subsystems and can be reduced using Manson's rule by writing equations for each signal as the sum of incoming signals times their transfer functions. Examples demonstrate reducing various block diagrams and signal-flow graphs to equivalent single transfer functions.
DSP_FOEHU - Lec 08 - The Discrete Fourier TransformAmr E. Mohamed
The document discusses the Discrete Fourier Transform (DFT). It explains that while the discrete-time Fourier transform (DTFT) and z-transform are not numerically computable, the DFT avoids this issue. The DFT represents periodic sequences as a sum of complex exponentials with frequencies that are integer multiples of the fundamental frequency. It can be viewed as computing samples of the DTFT or z-transform at discrete frequency points, allowing numerical computation. The DFT provides a link between the time and frequency domain representations of a finite-length sequence.
This document provides an overview of complex power in electrical systems. It defines phasor representation using complex exponentials to simplify analysis of constant frequency AC circuits. It describes how real and reactive power can be calculated from voltage and current phasors and discusses power factor. The document also discusses reactive compensation using capacitors to improve power factor by supplying reactive power locally. It provides an example of power factor correction and introduces balanced three-phase power systems with both wye and delta connections.
The document advertises free solution manuals and textbooks for many university-level books. It states that the solution manuals contain fully solved and clearly explained solutions to all the exercises in the textbooks. It encourages visiting the website to download the files for free.
The document describes experiments to simulate and analyze second order systems in time domain. It discusses designing a second order RLC circuit with different damping ratios ξ and applying a unit step input. The time domain specifications like percentage overshoot, peak time, rise time and settling time are calculated theoretically and also measured experimentally for different damping cases. Another experiment aims to design a passive RC lead compensator network for a specified phase lead and verify its performance using Bode plots. A third experiment analyzes steady state error of type-0, type-1 and type-2 digital control systems using MATLAB. A fourth experiment discusses simulating position control of an armature controlled DC motor in state space. The last experiment discusses designing a digital controller with
1) The document discusses line-commutated AC to DC converters and phase-controlled rectifiers. Phase-controlled rectifiers can control the DC output voltage by varying the trigger angle, unlike uncontrolled diode rectifiers which provide a fixed output.
2) Applications of phase-controlled rectifiers include DC motor control, AC traction systems, electrochemical processes, and portable tool drives.
3) Key principles of phase-controlled rectifier operation are derived, including expressions for average DC output voltage and RMS output voltage of a single phase half-wave thyristor converter.
This document contains instructions for an experiment to determine the transfer function of an armature controlled DC servomotor. It includes the theory behind transfer functions and DC motors. The procedure outlines determining the motor constants Kt, Kb, Ra, and La through load tests, no-load tests, and impedance measurements. Graphs are used to calculate the motor constants from experimental data. The transfer function and block diagram for an armature controlled DC motor are presented.
This document discusses transmission line models used in power system analysis. It begins with an overview of the distributed parameter model that represents an infinitesimal length of transmission line using series impedance and shunt admittance. It then derives the telegrapher's equations and uses them to develop a single second-order differential equation for the voltage along the line. The document presents solutions for this equation that allow determining the voltage and current at any point on the line given conditions at one end. It introduces transmission line parameters including characteristic impedance and propagation constant and shows how they relate the sending and receiving end quantities. Equivalent lumped-parameter π models are also derived in terms of the transmission line parameters. Finally, it discusses short
This document discusses modeling and control of low harmonic rectifiers. It provides expressions for controller duty cycle, DC load current, and converter efficiency based on an averaged model. It also describes several controller schemes including average current control, feedforward control, and current programmed control. Design examples are provided to illustrate calculation of key parameters like output voltage and MOSFET on-resistance needed to achieve a given efficiency.
Time response of first order systems and second order systemsNANDHAKUMARA10
It is the time required for the response to reach half of its final value from the zero instant. It is denoted by tdtd. Consider the step response of the second order system for t ≥ 0, when 'δ' lies between zero and one. It is the time required for the response to rise from 0% to 100% of its final value.
This document discusses the Newton-Raphson power flow method. It begins with announcements about homework assignments. It then provides an overview of the dishonest or shamanskii Newton-Raphson method, which calculates the Jacobian less frequently than the honest method to reduce computation time. An example is shown comparing the two methods. The document also discusses decoupled and fast decoupled power flow methods, which make additional approximations to further reduce computation time. It concludes with a brief discussion of power system control and indirect methods of controlling transmission line flows.
Taller grupal 2_aplicacion de la derivada en la ingeniera electrónica y autom...JHANDRYALCIVARGUAJAL
The document is a report in Spanish for a Calculus course. It discusses applications of the derivative in the career of electronics and automation. It contains 3 problems solved using concepts of maxima, minima, and the first and second derivatives. The problems involve finding the maximum power output of a circuit, determining the maximum net resistance of a parallel circuit, and calculating the maximum error in the equivalent resistance of a parallel circuit based on measurement errors.
The document discusses using SPICE simulations with averaged switch models to design a buck converter regulator. It provides steps for setting PWM controller parameters, selecting resistor values to set the output voltage, choosing an inductor and capacitor values, and using a type 2 compensator to stabilize the feedback loop. An example shows extracting compensator component values (R2, C1, C2) through simulation to achieve a phase margin of 46 degrees. Load transient response is then simulated by applying a step load change.
This document discusses power flow analysis in power systems. It begins with announcements about upcoming homework assignments and exams. It then provides background on transmission system planning and an example in ERCOT. The document covers the development of power flow equations using complex power definitions and the Newton-Raphson method for solving the nonlinear power flow equations. It includes the derivation of the power flow Jacobian matrix and provides a detailed two bus power flow example to demonstrate the Newton-Raphson method. The example is solved to determine the voltage magnitude and angle at the second bus.
Stability with analysis and psa and load flow.pptZahid Yousaf
The document summarizes a lecture on Newton-Raphson power flow analysis. It provides a two bus example to demonstrate the Newton-Raphson method. The example calculates the voltage magnitude and angle at the second bus iteratively until convergence is reached. There are two possible solutions for this system, a high voltage and low voltage solution, depending on the starting guess values. The document also briefly describes a three bus PV case example.
Exp 2 (1)2. To plot Swing Curve for one Machine SystemShweta Yadav
This document describes simulating the swing curve of a synchronous generator system. It provides the theory behind modeling a synchronous generator and defines the swing equation. It then gives an example problem of plotting the swing curve for a generator connected to an infinite bus when a fault occurs on one of the transmission lines. The document outlines the solving process using numerical integration methods to solve the swing equation and plot the rotor angle over time.
This document describes a 6-winding rectifier circuit. It consists of two 3-phase star rectifiers with their neutral points interconnected through an interphase transformer. This configuration produces an output voltage that is the average of the rectified voltages from each 3-phase unit. It also increases the ripple frequency to 6 times the mains frequency, allowing for a smaller filter size. Key performance parameters of the rectifier like efficiency, form factor, and power factor are calculated. Simulations are also presented to validate the theoretical analysis.
This document provides instructions for an electronics lab on DC power supply circuits using diodes. The key components and operations of a basic power supply are rectification to convert AC to pulsating DC using diodes, filtering using a capacitor to smooth the pulsating DC, and regulation using a zener diode voltage regulator circuit to control the output voltage. The lab will involve using an oscilloscope and function generator to test and analyze half-wave and full-wave rectifier circuits, a filtered power supply, and a voltage regulator circuit. SPICE simulation and MATLAB scripts can also be used to analyze the circuits.
Chapter 8 discusses converter transfer functions and Bode plots. It reviews common transfer function elements like poles, zeros and their impact on Bode plots. Specific topics covered include the single pole response, single zero response, right half-plane zeros, and combinations of elements. It also discusses how to analyze converter transfer functions, construct them graphically, and measure real converter transfer functions and impedances. The chapter aims to provide engineers with the tools needed to model, analyze and design power converters.
ENGINEERING SYSTEM DYNAMICS-TAKE HOME ASSIGNMENT 2018musadoto
1. Read Chapter 4 – System Dynamics for Mechanical Engineers by Matthew Davies and Tony L. Schmitz and implement Examples 4.1 to 4.12 in Matlab.
2. Read Chapter 7 – System Dynamics for Mechanical Engineers by Matthew Davies and Tony L. Schmitz and implement Examples 7.1 to 7.11 in Matlab.
3. Read Chapter 9 – System Dynamics for Mechanical Engineers by Matthew Davies and Tony L. Schmitz and implement Examples 9.1 to 9.6 in Matlab.
4. Read Chapter 11 – System Dynamics for Mechanical Engineers by Matthew Davies and Tony L. Schmitz and implement Examples 11.1 to 11.7 in Matlab.
5. Read Chapter 2 - System Dynamics for Engineering Students: Concepts and Applications by Nicolae Lobontiu and attempt problem 2.18 (page 63).
6. Read Chapter 3 - System Dynamics for Engineering Students: Concepts and Applications by Nicolae Lobontiu and attempt problem 3.13 (pp 98 - 100).
7. Read Chapter 4 - System Dynamics for Engineering Students: Concepts and Applications by Nicolae Lobontiu and attempt problem 4.20 (page 146).
8. Read Chapter 5 - System Dynamics for Engineering Students: Concepts and Applications by Nicolae Lobontiu and attempt problems 5.15 (page 198), 5.21 (pp 199 - 200) and 5.27 (pp 201 – 202).
This document discusses voltage sag analysis on a 14-bus power system network. It provides the Y-admittance and Z-impedance matrices of the network and calculates the voltage sag at buses 5 and 14 for various fault conditions. It finds that a three-phase fault at bus 5 results in the highest voltage sag of 1.57 p.u at bus 5, while a fault at bus 14 causes a sag of 1.39 p.u at bus 14. Opening certain lines or removing generators increases the voltage sag. Under expected fault rates, the estimated number of annual voltage sag events below 50% of nominal voltage is 4.65 for bus 5 and 6.55 for bus 14.
This document discusses fault analysis in power systems. It begins with an overview of fault types and causes, including lightning strikes. Transmission line faults are modeled using RL circuits to determine fault currents. Generators contribute the majority of fault current and are modeled using reactances valid for different time periods. Network faults are simplified by modeling lines as reactances and transformers as leakage reactances. An example network fault is solved using the superposition method to find the fault current.
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1. For any help regarding Electrical Engineering Assignment
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2. Problem 1: Generate and plot a vee curve diagram for the turbogenerator you analyzed in Prob lem Set 3. This is a plot of
armature current magnitude |Ia| vs. field current If for real values of output power of 0, 200, 400, 600, 800 and 1000
MW.
Problem 2: This problem concerns a salient pole synchronous generator with the following pa rameters:
VA Rating 150 MVA
Voltage Rating 13.8 kV (line-line, RMS)
7967 V (line-neutral, RMS)
D-Axis Synchronous Reactance 2.5 Ω
Q-Axis Synchronous Inductance 1.5 Ω
Stator Winding Phase Resistance .009 Ω
Field Winding Resistance 1.0 Ω
Magnetic Core Loss at Rated Voltage 1.0 MW
Field Current for Rated Voltage, Open Circuited (Ifnl) 600 A
Number of pole pairs (p) 7
Stator Connection Wye
1. To start, note that this machine will have a stability limit for operation at low field excitation
(corresponding to high absorbed reactive power). For a round rotor machine this limit is
reached at a torque angle of 90◦, but this machine has saliency so you must determine
the value of angle for which stability is reached. Compute and plot the angle and
corresponding value of field current at the stability threshold for this machine, against real
power. Hint: The stability limit is reached when the derivative of torque with respect to
angle is zero. Since torque is proportional to real power, you can use the derivative of power
with angle. For this part of the problem, ignore resistances and core loss.
2. Find the value of reactive power at the underexcited stability limit and plot Q(P ).
3. Find required field current for operation at rated power at unity power factor, and plot a
torque/angle curve for operation at rated terminal voltage and that field current.
4. Now, considering the loss elements: armature resistance loss, core loss and field winding loss,
calculate and plot machine efficiency over the range of 50MW < P < 150MW at unity
power factor.
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Problems
3. Problem 3: A particular salient-pole generator has inductances of:
Ld = 6mH
Lq = 4mH
L0 = 1mH
Find the elements of the phase inductance matrix:
⎡ ⎤
La Lab Lac ⎥
⎣
⎢
L ab b
L L bc ⎦
Lac Lbc Lc
as functions of rotor position φ.You may find it convenient to use the periodicity of the machine
to reduce the number of calculations you need to do.
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4. Problem 1: No secrets here. The script to do the vee curve is appended. The script, first, finds the field
winding capability, armature winding capability and then finds the stability limit (using a slightly
different method from Problem Set 3). The torque angle is used as a parameter. Note the limits for
field winding and armature currents are checked in a straightforward fashion and noted on the plot.
The plot is shown in Figure 1. Note the problem statement is flawed: there is no vee curve for the 1,000
MW curve, which is right on the armature capacity and therefore is a single point.
x 10
4 Round Rotor, 1000 MW Vee Curve
2.5
2
1.5
1
0.5
0
Field Current
Figure 1: Vee Curve for Example Generator
Problem 2: Salient Pole Machine
1. To start, note that this machine will have a stability limit for operation at low field
excitation (corresponding to high absorbed reactive power). For a round rotor
machine this limit is reached at a torque angle of 90◦, but this machine has
saliency so you must determine the value of angle for which stability is reached.
Compute and plot the angle and corresponding value of field current at the stability
threshold for this machine, against real power. Hint: The stability limit is reached
when the derivative of torque with respect to angle is zero. Since torque is
proportional to real power, you can use the derivative of power with angle. For this
part of the problem, ignore resistances and core loss.
Armature
Current
(RMS)
0 1000 2000 3000 4000 5000 6000 7000
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Solutions
5. Ia
E 1
=
=
3V
V + jXqIa
δ = angle(E1)
Id = Ia sin δ
E a f = abs(E1) + (Xd − Xq)Id
Real power output for a generator is:
3 2
V Ea f
P = 3 sin δ + V
1 1
−
Xq X d
sin 2δ
X d 2
The derivative of power with angle is then simply:
dP V Ea f 1
= 3 cos δ + 3V 2 − 1
dδ X d Xq X d
cos 2δ
At the stability limit, dP = 0, and this may be solved for internal voltage:
dδ
cos 2δ
af
E = −V
X d
−1
Xq cos δ
Using this shorthand:
P0 = 3V 2 1 1
−
Xq X d
we have this nonlinear expression to solve:
P 1
cos δ − sin 2δ + cos 2δsin δ = 0
P0 2
Now, this looks awful but in fact is quite easily solved by most mathematical assistants. MATLAB, for
example, has a routine called ’fzero’ which makes quick work of it. Once δ is found, Ea f may be
determined and the operating point is easily determined.
2. Reactive power at the underexcited stability limit is plotted in Figure 2 Note also the values of field current
and torque angle in Figure 3.
3. Calculation of required field current and calculation of the torque-angle curve is carried out in the third
script appended.
For this, see Figure 4
4. Calculation of efficiency is fairly straightforward. Take the notion that efficiency is:
P
η = P + Pa + Pf + Pc
The calculation is carried out in the normal fashion, assuming that, for unity power factor:
P
Ea f
f
I = I fn l
V
a
= R f I 2
Pa = 3RaI2
Pf
f
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6. Generator
Reactive
Power
x 10
7 Generator Underexcited Reactive Capability (Problem 4.2)
0
−5
−10
Stability thermal
0 5 10
−15
15
x 10
7
Generator Real Power
Figure 2: Reactive and Thermal Reactive Power Limit
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7. Stability Limit for Underexcited Operation
1500
1000
500
0
−500
5
80
60
40
20
0
I
,
A
f
N−
m
Angle,
degrees
5
0 10 15
x 107
0 10
UnderexcitedPower, W
15
x 107
Figure 3: Underexcited Stability Limit
x 10
6 Torque vs. Angle for Example Machine
3.5
3
2.5
2
1.5
1
0.5
0
0 0.5 1 1.5 2 2.5 3 3.5
Radians
Figure 4: Torque-Angle Curve for Example Machine (Generator Coordinates)
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8. Efficiency for Example Machine
0.964
0.966
0.968
0.97
0.972
0.974
0.976
0.978
Efficienc
y
0.5 0.6 0.7 0.8 0.9 1.1 1.2 1.3
1
Output Power
1.4 1.5
x 10
8
Figure 5: Example Machine Efficiency
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9. Carrying out this last operation, one finds a few elements of the answer:
2
�
L 0
�
�
�
Problem 3: This is more scutwork than one might like. Note that calculation of the phase induc tance matrix is:
L = T −1L T
ph dq
So the second part of that is:
cos φ cos(φ − 2π ) cos(φ + 2π )
d 3 3
2
L T = −sin φ sin(φ − 2π ) —sin(φ + 2π )
dq 3 3
3 1
1
2
1
2 2
L 0 0
0 Lq 0
0 0 L0
d
L cos φ d
L cos(φ − 2π ) d
L cos(φ + 2π )
3 3
2 −L q sin(φ − 2π
= −L q sin φ 3 3
−Lq sin(φ + 2π )
3 L L L 0
2
0
2
0
2
T hen
ph
L =
La
L ab b
Lac Lbc
Lab Lac
L L
Lc
bc
cos φ
= cos(φ −2π
3
—sin φ 1 d d 3
sin(φ −2π 1 −L q sin φ −L q sin(φ − 2π
3 3
d 3
L cos φ L cos(φ − 2π ) L cos(φ + 2π )
3
−Lq sin(φ + 2π )
cos(φ + 2π —sin(φ + 2π 1 L0
2
L0
2
L0
2
3 3
2 2
3
L a = L d cos φ + L q sin φ +
2
2
�
2π 2π
Lab = Ld cos φcos(φ − ) + Lq sin φsin(φ − ) +
3 3 3
L 0
�
2
Doing the trig, one finds:
a d q d q 0
L =
1
((L + L ) + (L −L ) cos(2φ) + L )
3
1
�
2π
Lb =
Lc =
(Ld + Lq ) + (Ld −Lq ) cos 2(φ − ) + L0
3 � 3
2π
(Ld + Lq ) + (Ld −Lq ) cos 2(φ + ) + L0
1
3 3
1 1 2π 1
Lab
= − (Ld + Lq ) + (Ld −Lq ) cos(2φ − ) + L0
6 6 3 3
1
L ac d q d q
6 6
= −
1
(L + L ) +
1
(L −L ) cos(2φ +
2π
) + L0
3 3
L bc d q d q
= −
1
(L + L ) +
1
(L −L ) cos2φ +
1
L 0
6 6 3
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10. % Round-Rotor Machine Vee Curve Generator
%Assumes generator operation
%Machine Data F i r s t
om
=2*pi *60; VA =
1e9; Xd = 1.353;
V= sqrt(2/3)*26000; pfr =
. 8 ;
M= 22. 5e- 3;
%t his i s a 60 Hz machine
%armature rating
% synchronous reactance (ohms)
%voltage: peak phase voltage
%rating point
% field-phase mutual reactance
Pv = [200e6 400e6 600e6 800e6];
%find armature current capability
I a r = VA/(1.5 * V); %remember we are working in peak
%find maximum f i e l d capability:
psir = acos(pfr); %power factor angle
%Ia i s the complex current at rating point I a = Iar*cos(psir) +
j * Iar* s in( ps ir) ;
Eafr = V - j*Xd*Ia;
Eafm = abs(Eafr); %t his i s max magnitude of f i e l d voltage Ifm = Eafm/(om*M);
fprintf(’Rated I a = %g MaxI f = %gn’,Iar, Ifm) figure(1)
c l f hold on
for i = 1:length(Pv) P = P v ( i ) ;
Q= sqrt(VA^2-P^2); Ia_min =
(P+j*Q)/(1.5*V);
Eaf_min = V+ j*Xd*Ia_min; i f
angle(Eaf_min) > pi/2,
dm
i n = pi /2;
else
% under-excited: check for s t a b i l i t y
dmin = angle(Eaf_min);
end
Ia_max = (P-j*Q)/(1.5*V); Eaf_max =
V+j*Xd*Ia_max; i f abs(Eaf_max) <
Eafm,
dmax = angle(Eaf_max);
else
% over-excited: check for Ifmax
dmax = asin(P*Xd/(1.5*V*Eafm));
end
fprintf(’P= %g Ia_min = %g Ia_max = %g dmin = %g
dmax = %gn’, P, abs(Ia_min), abs(Ia_ma
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11. % now that we have limits we go parameterize by delta
delt = dmin:(dmax-dmin)/100:dmax; Eaf = P*Xd . / (1.5*V .*
sin(delt));
Q= 1.5*(V^2/Xd - (V/Xd) .* Eaf .* cos(delt)); Ia = sqrt(P^2 + Q.^2)/(1.5*V);
I f = Eaf . / (om*M);
plot(If, Ia . / sqrt(2))
end
%now for the zero power curve Iaz = [V/Xd 0 (Eafm-V)/Xd];
Ifz = [0 V/(om*M) Eafm/(om*M)]; plot(Ifz, Iaz . / sqrt(2))
%and nowwe plot the limit lines Ia l = [Iar Iar 0];
I f l = [0 Ifm Ifm] plot(Ifl, Ia l . / sqrt(2), ’ - - ’ )
ti tl e( ’ Round Rotor, 1000 M
W Vee Curve’ ) ylabel(’Armature Current
(RMS)’) xlabel(’Field Current’)
grid on hold off
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12. % 6.685 2013 Problem Set 4, Problem 2
%F i r s t , line up parameters VA =
150e6;
V= 13800/sqrt(3); om=
2*pi*60;
%Machine Rating
% Phase voltage, RMS
% frequency
%direct axis reactance
%quadrature axis reactance
% rated voltage open c i r c u it f i e l d current
Xd = 2.5;
Xq = 1.5;
AFNL = 600;
p = 7;
%Find St abilit y Limit for underexcited operation
%This w i l l be angle delta as a function of real power P
% warning off MATLAB:fzero:UndeterminedSyntax % to suppress a whole lo t of wierd warnings
%convenient shorthand
% establish a range of real power
%space for Q
P_0 = 3*V^2*(1/Xq-1/Xd); P =
(.01:.01:1) .* VA;
Qs = zeros(size(P)); Qc =
zeros(size(P)); E_af =
zeros(size(P)); ds =
zeros(size(P));
for i = 1:length(P)
Pr = P(i)/P_0; %here i s how we use the notation
d = f z e r o ( ’ e f ’ , [0 pi/ 2 ], [ ] , P r ) ; %t his gives angle at s t a b i l i t y lim it Eaf = -V*(Xd/Xq-
1)*cos(2*d)/cos(d); %and corresponding internal voltage E_af(i) = Eaf;
d s ( i ) = d;
Qs(i) = (3*V*Eaf/Xd) * cos(d) + 1.5*V^2*(1/Xq-1/Xd) * cos(2*d) - 1.5*V^2*(1/Xq+1/Xd); Qc(i) = -sqrt(VA^2-P(i)^2);
end
dpdd = (3*V/Xd) .* E_af .* cos(ds) +3*V^2*(1/Xq-1/Xd) .* cos(2 .* ds);
figure(1)
plot(P, Qs, P, Qc) legend(’Stability’, ’thermal’)
title(’Generator Underexcited Reactive Capability (Problem 4 . 2 ) ’ ) ylabel(’Generator Reactive
Power’)
xlabel(’Generator Real Power’)
%axis([0 2e8 -1e8 0])
%axis square grid on
I _ f = (AFNL/V) .* E_af;
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13. figure(2) subplot 211 plot(P, I _ f )
t i t l e ( ’ S t a b i l i t y Limit for Underexcited Operation’) y l a b e l ( ’ I _ f , A’)
grid on subplot 212
plot(P, (180/pi) .* ds) ylabel(’Angle, degrees’) xlabel(’Underexcited Power, W’) grid on
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14. % 6.685 2013 Problem Set 4, Problem 2, parts 3 and 4
%F i r s t , line up parameters VA = 150e6;
V= 13800/sqrt(3); om= 2*pi*60; %Machine Rating
% Phase voltage, RMS
% frequency
Xd = 2.5;
Xq = 1.5;
AFNL = 600;
p = 7;
Ra = .009;
Rf = 1.0; Pc =
1e6;
%direct axis reactance
%quadrature axis reactance
% rated voltage open c i r c u it f i e l d current
%number of pole pairs
%armature resistance
%f i e l d resistance
%core loss
% F i r s t , find f i e l d current for rated operation, unity power factor
I a = VA/(3*V);
E_1 = V + j*Xq*Ia; delta =
angle(E_1); Id = I a * sin(delta);
% t his would be current at rated operation
% spot on the q axis
% t his i s torque angle
%d- axis current
Eaf = abs(E_1) + (Xd-Xq)*Id; %internal voltage
I _ f = Eaf*AFNL/V;
fprintf(’Problem 4, part 3: Field Current = %gn’, I _ f ) ; f print f ( ’ D etails of that: E_1 = %g, delta = %gn’,
abs(E_1), delta); fprintf(’More de t ails: I_d = %g, E_af = %gn’, I d , E af ) ;
delt = 0:pi/100:pi;
P = (3*V*Eaf/Xd) .* sin(delt) + 1.5*V^2*(1/Xq - 1/Xd) .* sin(2 .* d e l t ) ;
T = (p/om) .* P;
figure(1) plot(delt, T)
title(’Torque v s . Angle for Example Machine’) ylabel(’N-m’)
xl abel ( ’ Radi ans’ ) grid on
%now for machine efficiency
P = 50e6:5e5:150e6; Ia = P . /
(3*V);
E_1 = V + Xq .* I a ;
% run over t his range
%armature current
%voltage on q axis
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15. delta = angle(E_1);
Id = Ia .* sin(delta);
%torque angle
% d- axis current
Eaf = E_1 + (Xd-Xq) .* Id;
I_f = (AFNL/V) .* Eaf; % required field current
P_a = 3*Ra .* Ia .^2; P_f = Rf .* I_f .^2;
% armature winding loss
%field winding loss
eff = P . / (P + P_a + P_f + Pc);
figure(2) plot(P, eff)
title(’Efficiency for Example Machine’) ylabel(’Efficiency ’)
xlabel(’Output Power’)
grid on
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