Lec 3. System Modeling Transfer Function Model

Slides:



Advertisements
Similar presentations
7. Modeling of Electromechanical Systems
Advertisements

Lect.2 Modeling in The Frequency Domain Basil Hamed
AC modeling of quasi-resonant converters Extension of State-Space Averaging to model non-PWM switches Use averaged switch modeling technique: apply averaged.
Mechanical Vibrations
Lect15EEE 2021 Systems Concepts Dr. Holbert March 19, 2008.
The Laplace Transform in Circuit Analysis
Lecture 14: Laplace Transform Properties
Copyright © Cengage Learning. All rights reserved. 17 Second-Order Differential Equations.
TIME 2014 Technology in Mathematics Education July 1 st - 5 th 2014, Krems, Austria.
Feb 23, 2007 EEE393 Basic Electrical Engineering K.A.Peker Signals and Systems Introduction EEE393 Basic Electrical Engineering.
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
Nise/Control Systems Engineering, 3/e
Automatic Control System
APPLICATION OF THE LAPLACE TRANSFORM
Complex Waveforms as Input Lecture 19 1 When complex waveforms are used as inputs to the circuit (for example, as a voltage source), then we (1) must Laplace.
Chapter 16 Applications of the Laplace Transform
Laplace operator ‘s’ Reminder from ENGR201 Know how components behave in an instant of time Consider differential response Combine and simplify into standard.
ECE 4115 Control Systems Lab 1 Spring 2005
Ch. 6 Single Variable Control
MAE 242 Dynamics – Section I Dr. Kostas Sierros. Problem.
Feedback Control Systems (FCS) Dr. Imtiaz Hussain URL :
Modified by Albert W.J. Hsue,
Mathematical Models and Block Diagrams of Systems Regulation And Control Engineering.
Feedback Control System
Feedback Control Systems (FCS)
SECOND-ORDER DIFFERENTIAL EQUATIONS
Ch2 Mathematical models of systems
Lecture 3: Dynamic Models Spring: stores energy Damper: dissipates energy.
Prof. Wahied Gharieb Ali Abdelaal CSE 502: Control Systems (1) Topic# 3 Representation and Sensitivity Analysis Faculty of Engineering Computer and Systems.
Chapter 2 Systems Defined by Differential or Difference Equations.
1 Alexander-Sadiku Fundamentals of Electric Circuits Chapter 16 Applications of the Laplace Transform Copyright © The McGraw-Hill Companies, Inc. Permission.
MESB374 Chapter8 System Modeling and Analysis Time domain Analysis Transfer Function Analysis.
Newton’s 2nd Law: Translational Motion
Lecture 5: Transfer Functions and Block Diagrams
Dr.-Ing. Erwin Sitompul President University Lecture 1 Feedback Control Systems President UniversityErwin SitompulFCS 1/1.
Figure 2. 1 a. Block diagram representation of a system; b
Lecture 3: Dynamic Models
Dr. Tamer Samy Gaafar Lec. 3 Mathematical Modeling of Dynamic System.
EE 401 Control Systems Analysis and Design Modeling an Electromechanical System The DC Servomotor Fri, Jan 29 EE 401: Control Systems Analysis and Design.
The Laplace Transform.
State Equations BIOE Processes A process transforms input to output States are variables internal to the process that determine how this transformation.
ECE 483. Digital Control Systems Analysis and Design TexPoint fonts used in EMF. Read the TexPoint manual before you delete this box.: AA A A A AAA A A.
Chapter 2 Modeling in the frequency domain
ELECTRIC CIRCUITS EIGHTH EDITION
Mathematical Models of Control Systems
Automatic Control Theory CSE 322
Feedback Control Systems (FCS)
Mechanical Vibrations
MESB374 System Modeling and Analysis
DEPT.:-ELECTRONICS AND COMMUNICATION SUB: - CIRCUIT & NETWORK
Mathematical Modelling of Mechanical and Electrical Systems
Signals and Systems, 2/E by Simon Haykin and Barry Van Veen
Mathematical Models of Physical Systems
Mathematical Modeling of Control Systems
ME375 Handouts - Spring 2002ME375-Fall 2002
Lecture 4: Modeling Mechanical Systems
Digital Control Systems Waseem Gulsher
Modeling Use math to describe the operation of the plant, including sensors and actuators Capture how variables relate to each other Pay close attention.
LINEAR CONTROL SYSTEMS
Digital Control Systems (DCS)
BDU20102 Electromechanical & Control System
The Transfer Function.
Mathematical Modeling of Dynamic Systems
State Space circuit model
Control Systems Lecture 5: Mathematical Modeling of Mechanical Systems and State Space Representation Abdul Qadir Ansari, PhD
Control Systems (CS) Lecture-4-5
. Modeling OBJECTIVE Revision on Laplace transform
Chapter 3 Modeling in the Time Domain
Chapter 2 Modeling in the Frequency Domain
Presentation transcript:

Lec 3. System Modeling Transfer Function Model Model of Mechanical Systems Model of Electrical Systems Model of Electromechanical Systems Reading: 3.1-3.3, 3.6-3.8 TexPoint fonts used in EMF. Read the TexPoint manual before you delete this box.: AAA

Transfer Functions of General LTI Systems A linear time-invariant (LTI) system: Its impulse response h(t) is the output y(t) under input u(t)=(t) For arbitrary input u(t), the output is given by Take the Laplace transform: is called the transfer function

LTI Systems Given by Differential Equations Often times, the LTI systems modeling practical systems are Transfer function can be directly obtain by taking the Laplace transform (assuming zero initial condition) Transfer function H(s) is given by

(Rational) Transfer Functions Roots of B(s) are called the zeros of H(s): z1,…,zm Roots of A(s) are called the poles of H(s): p1,…,pn System is called an n-th order system Pole zero plot:

Standard Forms of Transfer Function Ratio of polynomial: Factored (or product) form: Sum form (assume poles are distinct): p1,…,pn are the poles, r1,…,rn are the corresponding residues If all poles are distinct

A Geometric Interpretation of Residues Distance to zeros Distance to poles (except itself) Pole zero plot: Remark: if a pole is very close to a zero, its residue will be small. (Approximate pole-zero cancellation)

Example

Example solve solve Zeros: Matlab code: Poles: Factored form: Sum form (by PFD):

Modified Example Zeros: Poles: (Compared with previous example, an extra zero very close to the pole p2=2 is introduced) Factored form: Sum form (by PFD): residue of the pole p2=2 is much smaller than in the previous case due to zero-pole cancellation.

Model of Mechanical Systems Car Suspension Model (body) m2 shock absorber (wheel) m1 Input: road altitude r(t) Output: car body height y(t) road surface

Force Analysis of Mass One Ignore the gravity forces (x,y are displacements from equilibrium positions) (body) m2 By Newton’s Second Law shock absorber (wheel) m1 (wheel) m1 road surface

Force Analysis of Mass Two Ignore the gravity forces (x,y are displacements from equilibrium positions) (body) m2 (body) m2 shock absorber (wheel) m1 By Newton’s Second Law road surface

Suspension System Model

Suspension System Model Differential equation model Taking Laplace transform: Compute X(s) from the second equation, plug in the first one: transfer function from input r(t) to output y(t)

Translational Mechanical System Models Identify all independent components of the system For each component, do a force analysis (all forces acting on it) Apply Newton’s Second Law to obtain an ODE, and take the Laplace transform of it Combine the equations to eliminate internal variables Write the transfer function from input to output

Rotational Mechanical Systems: Satellite gas jet Suppose that the antenna of the satellite needs to point to the earth Ignore the translational motions of the satellite Input: A force F generated by the release of reaction jet Output: orientation of the satellite given by the angle 

Satellite Model Torque: In general gas jet Newton’s Second Law:

Model of Electrical Systems Basic components resistor inductor capacitor

Impedance Basic components resistor inductor capacitor

Circuit Systems +

Electromechanical System: DC Motor Armature resistance   Torque T Basic motor properties:   Torque proportional to current:             Motor voltage proportional to shaft angular velocity:   Friction B   Input: voltage source e(t) Output: shaft angular position q(t)

A Simple Nonlinear Control System pendulum Input: external force F Output: angle  Dynamic equation from Newton’s law A nonlinear differential equation! Linearization: approximate a nonlinear system by a linear one. When  is small, sin is approximately equal to . (see Section 3-10 of the textbook for more details)

A Simple Nonlinear Control System pendulum Input: external force F Output: angle  Dynamic equation from Newton’s law A nonlinear differential equation!