Automatic Control System

Slides:



Advertisements
Similar presentations
Root Locus Diagrams Professor Walter W. Olson
Advertisements

Automation I. Introduction. transmitter actuator Structure of control system Process or plant Material flow sensorstransducers actuating units actuating.
ECEN/MAE 3723 – Systems I MATLAB Lecture 3.
Chapter 4 Modelling and Analysis for Process Control
Introduction to Feedback Systems / © 1999 Önder YÜKSEL EE Block Diagrams - O. Yuksel 1.
Frequency Response Methods and Stability
Chapter Summer 2. Comparator 3. Block Blocks in Series
1 Frequency Response Methods The system is described in terms of its response to one form of basic signals – sinusoid. The reasons of using frequency domain.
Block Diagram fundamentals & reduction techniques
Review last lectures.
Feb 23, 2007 EEE393 Basic Electrical Engineering K.A.Peker Signals and Systems Introduction EEE393 Basic Electrical Engineering.
Chapter 3 1 Laplace Transforms 1. Standard notation in dynamics and control (shorthand notation) 2. Converts mathematics to algebraic operations 3. Advantageous.
Automatic Control System
Automatic Control Theory-
Automatic Control System
Unit 5: Feedback and control theory An Introduction to Mechanical Engineering: Part Two Feedback and control theory Learning summary By the end of this.
1 Passive components and circuits - CCP Lecture 4.
Automatic Control Theory School of Automation NWPU Teaching Group of Automatic Control Theory.
DYNAMIC BEHAVIOR AND STABILITY OF CLOSED-LOOP CONTROL SYSTEMS
Chapter 3 mathematical Modeling of Dynamic Systems
Introduction to Control
Mechanical Engineering Department Automatic Control Dr. Talal Mandourah 1 Lecture 1 Automatic Control Applications: Missile control Behavior control Aircraft.
Introduction to Matlab Module #9 Page 1 Introduction to Matlab Module #9 – Simulink Topics 1.Simulink Textbook Reading Assignments Practice Problems.
Chapter 6: Frequency Domain Anaysis
Prof. Wahied Gharieb Ali Abdelaal CSE 502: Control Systems (1) Topic# 3 Representation and Sensitivity Analysis Faculty of Engineering Computer and Systems.
Fourier Analysis of Signals and Systems
EE2253 CONTROL SYSTEM PRESENTED BY S.S.KARTHIKA, AP/EEE
Lecture 22: Frequency Response Analysis (Pt II) 1.Conclusion of Bode plot construction 2.Relative stability 3.System identification example ME 431, Lecture.
Lecture 6: Thermal and Fluid System. Heat Flow.
DEPARTMENT OF MECHANICAL TECHNOLOGY VI -SEMESTER AUTOMATIC CONTROL 1 CHAPTER NO.6 State space representation of Continuous Time systems 1 Teaching Innovation.
Dr. Tamer Samy Gaafar Lec. 2 Transfer Functions & Block Diagrams.
Automatic Control System V. Performance of steady-state.
Auditory Perception: 2: Linear Systems. Signals en Systems: To understand why the auditory system represents sounds in the way it does, we need to cover.
Óbudai Egyetem Dr. Neszveda József Open and Closed loop Control II. Block diagram model.
Eeng360 1 Chapter 2 Linear Systems Topics:  Review of Linear Systems Linear Time-Invariant Systems Impulse Response Transfer Functions Distortionless.
Chapter 2. Signals and Linear Systems
Time Domain Representations of Linear Time-Invariant Systems
AUTOMATIC CONTROLS(ME- 308 F ) By Mr. Hari Mohan Rai ECE DEPARTMENT.
Automatic control systems V. Discrete control
Automatic control systems I. Nonlinearities in Control System
Chapter 4 Transfer Function and Block Diagram Operations
State Space Representation
Chapter 7 The Root Locus Method The root-locus method is a powerful tool for designing and analyzing feedback control systems The Root Locus Concept The.
Time Domain and Frequency Domain Analysis
Automatic control systems I
Transfer Functions.
Automatic control systems II
Automatic Control Theory CSE 322
Lecture 12 Linearity & Time-Invariance Convolution
Recap: Chapters 1-7: Signals and Systems
CHAPTER VI BLOCK DIAGRAMS AND LINEARIZATION
DNT Control Principle Frequency Response Techniques DNT Control Principle.
Description and Analysis of Systems
Linear Control Systems
Chapter 2. Fourier Representation of Signals and Systems
Frequency-Domain of Control Systems
Methods of Determining Stability
Signals and Systems Using MATLAB Luis F. Chaparro
UNIT V Linear Time Invariant Discrete-Time Systems
Digital Control Systems (DCS)
Modeling in the Time Domain
Digital Control Systems Waseem Gulsher
State Space Analysis UNIT-V.
Digital and Non-Linear Control
Frequency Response Method
Signals and Systems EE235 Leo Lam ©
FUNCTIONS.
Frequency Domain specifications.
PROCESS DYNAMICS AND CONTROL Fourth Year by Dr. Forat Yasir AlJaberi
Time-domain vs Frequency -domain?
Presentation transcript:

Automatic Control System II. Block diagram model

Modelling dynamical systems Engineers use models which are based upon mathematical relationships between two variables. We can define the mathematical equations: Measuring the responses of the built process (black model) Using the basic physical principles (grey model). In order to simplification of mathematical model the small effects are neglected and idealised relationships are assumed. Developing a new technology or a new construction nowadays it’s very helpful applying computer aided simulation technique. This technique is very cost effective, because one can create a model from the physical principles without building of process.

LTI (Linear Time Invariant) model The all physical system are non-linear and their parameters change during a long time. The engineers in practice use the superposition’s method. x(t) y(t) x(j) y(j) First One defines the input and output signal range. In this range if an arbitrary input signal energize the block and the superposition is satisfied and the error smaller than a specified error, than the block is linear.

The steady-state characteristics and the dynamic behavior 100 y(t) WP2 WP1 t x(t) 100 t The steady-state characteristic. When the transient’s signals have died a new working point WP2 is defined in the steady-state characteristic. The dynamic behavior is describe by differential equation or transfer function in frequency domain.

Transfer function in frequency domain Amplitude gain: Phase shift:

The graphical representation of transfer function The M-α curves: The amplitude gain M(ω) in the frequency domain. In the previous page M(ω) was signed, like A(ω) The phase shift α(ω) in the frequency domain. In the previous page α(ω) was signed, like φ(ω)! A Nyquist diagram: The transfer function G(jω) is shown on the complex plane. A Bode diagram: Based on the M-α curves. The frequency is in logaritmic scale and instead of A(ω) amplitude gain is: A Nichols diagram: The horizontal axis is φ(ω) phase shift and the vertical axis is The a(ω) dB.

The basic transfer function In the time domain is the differential equitation In the frequency domain is the transfer function

Block representation G1 G2 G1G2 G1 G2 G1 G2 G1+G2 Actuating path of signals and variables One input and one output block represents the context between the the output and input signals or variables in time or frequency domain Summing junction Take-off point (The same signal actuate both path) G1 G2 G1G2 G1 G2 G1 G2 G1+G2

P proportional t Step response Bode diagram

I Integral Step response Bode diagram

D differential Step response Bode diagram The step response is an Dirac delta, which isn’t shown Step response Bode diagram

PT1 first order system Step response Bode diagram

PT2 second order system Step response Bode diagram

PH delay Step response Bode diagram

IT1 integral and first order in cascade Step response Bode diagram

DT1 differential and first order in cascade Step response Bode diagram

PI proportional and integral in parallel Step response Bode diagram

PDT1 Step response Bode diagram

Terms of feedback control controller plant controlled variable compensator or control task transmitter manipulated variable error signal comparing element or error detector actuator disturbance variable reference signal feedback signal reference input element action signal block model of the plant

Block diagram manipulation G1G2 G1 G1+G2 G1 G1 G2 G1 G2 G1 G1 G1 G1 G1

Block diagram reduction example