P1 RJM 16/10/02EG1C2 Engineering Maths: Matrix Algebra Tutorial 6 Matrix Algebra - Tutorial 6 32.Find the eigenvalues and eigenvectors of the following.

Slides:



Advertisements
Similar presentations
P1 RJM 16/10/02EG1C2 Engineering Maths: Matrix Algebra Tutorial 1 A mass (weight 20N) is suspended by two wires as shown in the figure: relevant distances.
Advertisements

Ch 7.7: Fundamental Matrices
GENERAL ELECTRICAL DRIVES
Lect.2 Modeling in The Frequency Domain Basil Hamed
ELECTRIC DRIVES Ion Boldea S.A.Nasar 1998 Electric Drives.
P1 RJM 07/08/02EG1C2 Engineering Maths: Matrix Algebra 5 Solving Linear Equations Given the equations 3x + 4y = 10 2x + z = 7 y + 2z = 7 Solve by removing.
Symmetric Matrices and Quadratic Forms
AC modeling of quasi-resonant converters Extension of State-Space Averaging to model non-PWM switches Use averaged switch modeling technique: apply averaged.
Ch 7.3: Systems of Linear Equations, Linear Independence, Eigenvalues
DC motor model ETEC6419. Motors of Models There are many different models of DC motors that use differential equations. During this set of slides we will.
Lect.2 Modeling in The Frequency Domain Basil Hamed
Differential Equations
Boyce/DiPrima 9th ed, Ch 7.3: Systems of Linear Equations, Linear Independence, Eigenvalues Elementary Differential Equations and Boundary Value Problems,
Lect.5 Reduction of Multiple Subsystems Basil Hamed
PHY 301: MATH AND NUM TECH Chapter 5: Linear Algebra Applications I.Homogeneous Linear Equations II.Non-homogeneous equation III.Eigen value problem.
Gaussian Elimination, Rank and Cramer
4.5 Solving Systems using Matrix Equations and Inverses.
We will use Gauss-Jordan elimination to determine the solution set of this linear system.
1 1.5 © 2016 Pearson Education, Inc. Linear Equations in Linear Algebra SOLUTION SETS OF LINEAR SYSTEMS.
Holt Algebra Matrix Inverses and Solving Systems A matrix can have an inverse only if it is a square matrix. But not all square matrices have inverses.
Have we ever seen this phenomenon before? Let’s do some quick multiplication…
Proportional control Consider forward path gain A Feedback and Control If the size of the loop gain is large, that is if |A  >> 1, then or.
HOMEWORK 08D Block diagrams Problem 1: Problem 2:
ME 335 Boğaziçi University A Study on Motor Speed Control.
Mathematical Models and Block Diagrams of Systems Regulation And Control Engineering.
P1 RJM 06/08/02EG1C2 Engineering Maths: Matrix Algebra 1 EG1C2 Engineering Maths : Matrix Algebra Dr Richard Mitchell, Department of Cybernetics AimDescribe.
Session 6 - Sensor Modelling
Rotation matrices 1 Constructing rotation matricesEigenvectors and eigenvalues 0 x y.
P1 RJM 18/02/03EG1C2 Engineering Maths: Matrix Algebra Revision 7 (a) Figure Q7-1 shows an electronic circuit with two batteries and three resistors. The.
Class 7: Answers 1 (C) Which of the following matrices below is in reduced row echelon form? A B C D. None of them.
Linear Algebra Diyako Ghaderyan 1 Contents:  Linear Equations in Linear Algebra  Matrix Algebra  Determinants  Vector Spaces  Eigenvalues.
DC Motor Speed Modeling in Simulink
Professor Walter W. Olson Department of Mechanical, Industrial and Manufacturing Engineering University of Toledo Linear Systems m k u x m k u x Fixed.
1 Beginning & Intermediate Algebra – Math 103 Math, Statistics & Physics.
ELEC 3105 Basic EM and Power Engineering Rotating DC Motor PART 2 Electrical.
Linear Algebra Diyako Ghaderyan 1 Contents:  Linear Equations in Linear Algebra  Matrix Algebra  Determinants  Vector Spaces  Eigenvalues.
EE 401 Control Systems Analysis and Design Modeling an Electromechanical System The DC Servomotor Friday, Sept. 06, 2013 EE 401: Control Systems Analysis.
P1 RJM 07/08/02EG1C2 Engineering Maths: Matrix Algebra 3 Determinants and Inverses Consider the weight suspended by wires problem: One (poor) way is to.
Lecture 14: Pole placement (Regulator Problem) 1.
EE 401 Control Systems Analysis and Design Modeling an Electromechanical System The DC Servomotor Fri, Jan 29 EE 401: Control Systems Analysis and Design.
INTRODUCTION TO DYNAMICS ANALYSIS OF ROBOTS (Part 1)
Constant Rotation Now that we know how to define the angular position, we can examine rotational motion. Consider the lab equipment using a view from above.
CIS 540 Principles of Embedded Computation Spring Instructor: Rajeev Alur
Lesson 14: Transfer Functions of Dc Motors
Solving Linear Systems
Ch. 7 – Matrices and Systems of Equations
Modern Control Systems EKT 308
Advanced Control Systems (ACS)
Review Problems Matrices
We will be looking for a solution to the system of linear differential equations with constant coefficients.
Chapter 10 Optimal Control Homework 10 Consider again the control system as given before, described by Assuming the linear control law Determine the constants.
Introduction Mathcad is a product of mathSoft inc. The Mathcad can help us to calculate, graph, and communicate technical ideas. It lets us work with.
Pole Placement and Decoupling by State Feedback
Evaluate the expression ( i) + ( i) and write the result in the form a + bi. Choose the answer from the following: i i i.
الفصل 1: الحركة الدورانية Rotational Motion
Lecture 19 Review: Steady-state response and DC gain
Solve a system of linear equation in two variables
Boyce/DiPrima 10th ed, Ch 7.3: Systems of Linear Equations, Linear Independence, Eigenvalues Elementary Differential Equations and Boundary Value Problems,
Modeling in the Time Domain
MATH 374 Lecture 23 Complex Eigenvalues.
Digital and Non-Linear Control
Evaluating expressions and Properties of operations
Equivalent State Equations
State Space circuit model
Maths for Signals and Systems Linear Algebra in Engineering Lectures 10-12, Tuesday 1st and Friday 4th November2016 DR TANIA STATHAKI READER (ASSOCIATE.
4.3 Determinants and Cramer’s Rule
Linear Algebra Lecture 32.
Chapter 3 Modeling in the Time Domain
Ch. 7 – Matrices and Systems of Equations
EG1C2 Matrix Algebra - Information Sheet
Presentation transcript:

p1 RJM 16/10/02EG1C2 Engineering Maths: Matrix Algebra Tutorial 6 Matrix Algebra - Tutorial 6 32.Find the eigenvalues and eigenvectors of the following matrices (note the eigenvalues are integers): Suppose the eigenvectors of A are denoted  1 and  2 and let X = [  1  2 ]. Find X -1 A X. Comment. When evaluating the eigenvectors of B, show that the three equations represented by (B- I)x = 0 are linearly dependent.

p2 RJM 16/10/02EG1C2 Engineering Maths: Matrix Algebra Tutorial 6 33.The Stochastic Matrix equation below shows how the values of R, C and I change over time. R,C and I are percentages. Use eigenvalue techniques to show that their values will stabilise if this equation is repeatedly applied and hence find their steady value.

p3 RJM 16/10/02EG1C2 Engineering Maths: Matrix Algebra Tutorial 6 In the rotational system above, the angular position of the mass is , its angular velocity is  = d  /dt, and it can be shown that -k  -F  = Jd  /dt Express these equations as two state equations in  and  if J = 2kgm 2, F = 6Nm per rad/s and k = 4Nm per rad. Find the general response of  and  and the particular response if at time 0,  = 0 rad/s and  = 1 rad. 34.

p4 RJM 16/10/02EG1C2 Engineering Maths: Matrix Algebra Tutorial The above circuit can be modelled by equations Use eigenvalue techniques to find the general response of v 2 and i 1 when L = 4H, R = 8  and C = 0.25F, and the particular response if at time t = 0, i 1 = 0 and v 2 = 2V.

p5 RJM 16/10/02EG1C2 Engineering Maths: Matrix Algebra Tutorial 6 36.Consider the following, being a permanent magnet armature controlled d.c. motor in a feedback loop with controller C. The command input is 0. Let  be the motor position and  its speed. Question continued..

p6 RJM 16/10/02EG1C2 Engineering Maths: Matrix Algebra Tutorial 6 Examining the block diagram, the equations describing the system are  = d  /dt and Td  /dt = -C  - . Express the above in terms of the state variables  and  and find the complex eigenvalues and eigenvectors to the system if T = 0.5s and C = 5. Hence write down the general solution to the system. Find the particular solution if at time t = 0,  = 0 rad/s and  = 3 rad.

p7 RJM 16/10/02EG1C2 Engineering Maths: Matrix Algebra Tutorial 6 Answers

p8 RJM 16/10/02EG1C2 Engineering Maths: Matrix Algebra Tutorial 6

p9 RJM 16/10/02EG1C2 Engineering Maths: Matrix Algebra Tutorial 6