UNIVERSITÀ DEGLI STUDI DI SALERNO

Slides:



Advertisements
Similar presentations
Dynamic Behavior of Ideal Systems
Advertisements

The Performance of Feedback Control Systems
Dynamic Behavior of Closed-Loop Control Systems
Automation I. Introduction. transmitter actuator Structure of control system Process or plant Material flow sensorstransducers actuating units actuating.
Chapter 4 Modelling and Analysis for Process Control
4. System Response This module is concern with the response of LTI system. L.T. is used to investigate the response of first and second order systems.
1 Fifth Lecture Dynamic Characteristics of Measurement System (Reference: Chapter 5, Mechanical Measurements, 5th Edition, Bechwith, Marangoni, and Lienhard,
Transient & Steady State Response Analysis
1 Chapter 9 Differential Equations: Classical Methods A differential equation (DE) may be defined as an equation involving one or more derivatives of an.
Chapter 5 Copyright © The McGraw-Hill Companies, Inc. Permission required for reproduction or display.
Viscously Damped Free Vibration. Viscous damping force is expressed by the equation where c is a constant of proportionality. Symbolically. it is designated.
Out response, Poles, and Zeros
Feedback Control Systems (FCS) Dr. Imtiaz Hussain URL :
Automatic Control Theory-
1 Chapter 2 We need to write differential equations representing the system or subsystem. Then write the Laplace transform of the system. Then we will.
MESB374 System Modeling and Analysis Forced Response
2-1 (a),(b) (pp.50) Problem: Prove that the systems shown in Fig. (a) and Fig. (b) are similar.(that is, the format of differential equation is similar).
Open and closed loop transfer functions. BIBO stability by M. Miccio rev. 3.5 of March 12, 2015.
Chapter 5 Transient and Steady State Response “I will study and get ready and someday my chance will come” Abraham Lincoln.
Chapter 4 Transients. 1.Solve first-order RC or RL circuits. 2. Understand the concepts of transient response and steady-state response.
SECOND ORDER LINEAR Des WITH CONSTANT COEFFICIENTS.
Chapter 4 Dynamic Systems: Higher Order Processes Prof. Shi-Shang Jang National Tsing-Hua University Chemical Engineering Dept. Hsin Chu, Taiwan April,
Modal Theory of Single Degree of Freedom System Dept. of Mechanical Engineering Yungpeng Wang 南臺科技大學 STUST.
Chapter 3 Dynamic Response The Block Diagram Block diagram is a graphical tool to visualize the model of a system and evaluate the mathematical relationships.
Lecture 12: First-Order Systems
Subsea Control and Communications Systems
Lec 6. Second Order Systems
Modeling Transient Response So far our analysis has been purely kinematic: The transient response has been ignored The inertia, damping, and elasticity.
Lecture 13: Second-Order Systems Time Response Lecture 12: First-order systems Lecture 13: Second-order systems Lecture 14: Non-canonical systems ME 431,
System Dynamics Dr. Mohammad Kilani
Lecture 7/8 Analysis in the time domain (II) North China Electric Power University Sun Hairong.
Root Locus Techniques DNT Control Principle Date: 18th September 2008
Automatic Control Theory CSE 322
Lesson 20: Process Characteristics- 2nd Order Lag Process
MESB374 System Modeling and Analysis Transfer Function Analysis
Lecture 25 Outline: LTI Systems: Causality, Stability, Feedback
Dynamic Behavior Chapter 5
Laplace Transforms Chapter 3 Standard notation in dynamics and control
Youngjune, Han Chapter 4 Time Response Youngjune, Han
Chapter 4 Transfer Function and Block Diagram Operations
Inverse Response Systems
Time Response Analysis
Mathematical Modeling of Control Systems
Ch 3.9: Forced Vibrations We continue the discussion of the last section, and now consider the presence of a periodic external force:
ME375 Handouts - Fall 2002 MESB374 Chapter8 System Modeling and Analysis Time domain Analysis Transfer Function Analysis.
Dynamic Behavior Chapter 5
Instructor: Jongeun Choi
Dynamic Behavior of Ideal Systems
Time Response System & Control Engineering Lab.
UNIT-II TIME RESPONSE ANALYSIS
UNIVERSITI MALAYSIA PERLIS SCHOOL OF ELECTRICAL SYSTEM ENGINEERING
Response of Higher Order Systems
Lecture 22 Second order system natural response
Chapter 4. Time Response I may not have gone where I intended to go, but I think I have ended up where I needed to be. Pusan National University Intelligent.
CBE / MET Feb 12.
Second-Order Systems Chapter 5 Standard form:
1940 Tacoma Narrows Bridge Collapse
Laplace Transforms Important analytical method for solving linear ordinary differential equations. - Application to nonlinear ODEs? Must linearize first.
Laplace Transforms Important analytical method for solving linear ordinary differential equations. - Application to nonlinear ODEs? Must linearize first.
Dynamic Behavior Chapter 5
UNIVERSITÀ DEGLI STUDI DI SALERNO
UNIVERSITÁ DEGLI STUDI DI SALERNO FACOLTÀ DI INGEGNERIA
UNIVERSITÀ DEGLI STUDI DI SALERNO
Time Response, Stability, and
Exercise 1 For the unit step response shown in the following figure, find the transfer function of the system. Also find rise time and settling time. Solution.
UNIVERSITÀ DEGLI STUDI DI SALERNO
UNIVERSITÀ DEGLI STUDI DI SALERNO
UNIVERSITÀ DEGLI STUDI DI SALERNO
UNIVERSITÀ DEGLI STUDI DI SALERNO
By: Nafees Ahamad, AP, EECE, Dept. DIT University, Dehradun
Presentation transcript:

UNIVERSITÀ DEGLI STUDI DI SALERNO Bachelor Degree in Chemical Engineering Course: Process Instrumentation and Control (Strumentazione e Controllo dei Processi Chimici) REFERENCE LINEAR DYNAMIC SYSTEMS Second-Order Systems Rev. 2.42 – May 29, 2019

Process Instrumentation and Control - Prof. M. Miccio SECOND ORDER LAG see: Ch.11 - Stephanopoulos, “Chemical process control: an Introduction to theory and practice” Initial conditions: t=0 y=0 t=0 dy/dt=0 Second-order ODE, linear, non-homogeneous, with constant coefficients Forcing function: f(t) After dividing by a0 0 we have: a2/a0=  2; a1/a0=2ζ ; b/a0=Kp where:  = natuaral period of oscillation ζ = damping factor Kp = steady state gain or static gain, or simply gain CANONICAL FORM in the time domain in the Laplace domain 27/09/2019 Process Instrumentation and Control - Prof. M. Miccio

Discriminant: D = z2t2 - t2 = t2(z2 - 1) TRANSFER FUNCTION Discriminant: D = z2t2 - t2 = t2(z2 - 1) CASE A : ζ > 1, THE CHARACTERISTIC EQUATION HAS TWO DISTINCT AND REAL POLES.  Overdamped response CASE B : ζ = 1, THE CHARACTERISTIC EQUATION HAS TWO EQUAL POLES (MULTIPLE POLES)  Critically damped CASE C : 0 < ζ< 1, THE CHARACTERISTIC EQUATION HAS TWO COMPLEX CONJUGATE POLES  Underdamped response 27/09/2019 Process Instrumentation and Control - Prof. M. Miccio

ROOT LOCUS FOR A SECOND-ORDER LAG P2 P1 P3 P4 P4* P5 Im Re P5* ζ  ]+∞, 0] decreases OVERDAMPED : P1, P2 CRITICALLY DAMPED : P3 with multiplicity = 2 UNDERDAMPED : P4, P4* UNDAMPED ( ζ=0 ) : P5, P5*  P5 =  j/ NOTE: the G(s) of a the second-order system is BIBO stable. Therefore, this is a self-regulating system. 27/09/2019 Process Instrumentation and Control - Prof. M. Miccio

DYNAMIC RESPONSE TO THE UNIT STEP INPUT CHANGE Case A: Overdamped response ζ > 1 from N.S. Nise, “Control Systems Engineering”, California State Polytechnic University Case B: Critically damped response ζ = 1 SOcalculator.swf Case C: Underdamped response ζ < 1 (ζ>0) con: 27/09/2019 Process Instrumentation and Control - Prof. M. Miccio

DYNAMIC RESPONSE TO THE UNIT STEP INPUT CHANGE see: Ch.11 - Stephanopoulos, “Chemical process control: an Introduction to theory and practice” see: D. Cooper, "Practical Process Control", book in PDF file 27/09/2019 Process Instrumentation and Control - Prof. M. Miccio

DYNAMIC RESPONSE TO THE UNIT STEP INPUT CHANGE see: Ch.11 - Stephanopoulos, “Chemical process control: an Introduction to theory and practice” 27/09/2019 Process Instrumentation and Control - Prof. M. Miccio

Process Instrumentation and Control - Prof. M. Miccio UNDERDAMPED RESPONSE TO THE UNIT STEP INPUT CHANGE Qualitative behaviour see: Ch.11 - Stephanopoulos, “Chemical process control: an Introduction to theory and practice” 27/09/2019 Process Instrumentation and Control - Prof. M. Miccio

Process Instrumentation and Control - Prof. M. Miccio UNDERDAMPED RESPONSE TO THE UNIT STEP INPUT CHANGE Characteristic parameters 1. Overshoot A/B 2. Decay Ratio C/A 3. Radian frequency 4. Period of oscillation T=2p/ω  27/09/2019 Process Instrumentation and Control - Prof. M. Miccio

Process Instrumentation and Control - Prof. M. Miccio UNDERDAMPED RESPONSE TO THE UNIT STEP INPUT CHANGE Characteristic parameters Rise time The time required for the response to reach its final value for the first time. Response time The time required for the response to a unit step input change to reach its final value when it remain within ±5% of its final value (value of time for which the response can be considered no longer oscillatory). 27/09/2019 Process Instrumentation and Control - Prof. M. Miccio

UNDAMPED RESPONSE TO THE UNIT STEP INPUT CHANGE Case ζ=0 Natural period of oscillation Tn = 2p Natural frequency ωn = 1/ NOTE: For ζ=0 (UNDAMPED SYSTEM) the response to the unit step input change is a continuous oscillation with constant amplitude  marginal stability 27/09/2019 Process Instrumentation and Control - Prof. M. Miccio

UNDAMPED RESPONSE TO THE UNIT STEP INPUT CHANGE Case ζ=0 Homework: Diagram the DYNAMIC RESPONSE with the mod. Custom Process of LOOP-PRO Control Station 27/09/2019 Process Instrumentation and Control - Prof. M. Miccio

Dimensionless response of 2nd Order lag to step input change Dimensionless diagram of the dynamic response to the step input change NOTE: Self-regulating dynamic behaviour see: Ch.11 - Stephanopoulos, “Chemical process control: an Introduction to theory and practice” 27/09/2019 Process Instrumentation and Control - Prof. M. Miccio

DYNAMIC response of 2nd Order lag to unit impulse If a unit impulse δ(t) with L[δ(t)] = 1 is applied to a second-order lag with a transfer function: As for the case of the step input change, the qualitative behaviour of the dynamic response depends on the values of the poles ζ < 1 ζ = 1 ζ > 1 27/09/2019 Process Instrumentation and Control - Prof. M. Miccio

DYNAMIC response of 2nd Order lag to unit impulse Ip.: Kp=1 Response to the unit impulse for ζ < 1 Response to the unit impulse for ζ = 1 Response to the unit impulse for ζ >1 27/09/2019 Process Instrumentation and Control - Prof. M. Miccio

DIMENSIONLESS response of 2nd Order lag to unit impulse Dimensionless diagram of the dynamic response (drawn for KP = 1) 27/09/2019 Process Instrumentation and Control - Prof. M. Miccio

DYNAMIC RESPONSE OF A 2ND ORDER LAG TO A SINUSOIDAL INPUT Transient approaching zero FORCING FUNCTION: f(t)= A sin ωt DYNAMIC RESPONSE: Oscillating for long time The constants Ci can be calculated with the partial fraction expansion method For The Amplitude Ratio AR is defined as the ratio between the amplitude of the sinusoidal response for long time and the amplitude of the sinusoidal input AR = (Output AMPL)/(Input AMPL) 27/09/2019 Process Instrumentation and Control - Prof. M. Miccio

Dimensionless response of 2nd Order lag to Sinusoidal input Homework: Diagram the DYNAMIC RESPONSE with the mod. Custom Process of LOOP-PRO Control Station 27/09/2019 Process Instrumentation and Control - Prof. M. Miccio

Dimensionless response of 2nd Order Undamped lag to Sinusoidal input NOTE: only for a radian frequency of the input dell'ingresso sin(nt) equal to the radian frequency of the system, the dynamic response is a continous oscillation with increasing amplitude.  BIBO instability 27/09/2019 Process Instrumentation and Control - Prof. M. Miccio

FURTHER CLASSIFICATION of Second-Order Lag Systems with second- of higher-order dynamics can arise from several physical situations. These can be classified into three categories: Inherenlty second-order systems: systems including mechanics and fluido-dynamics processes, for example when in a force balance the inertia term appears (Es.: mass subjected to a elastic force) Multicapacity processes: systems consisting of two first-order systems in series where the output of the first one is the forcing function of the second one (e.g., two tanks in series). A processing system with its controller: the installed controller introduces additional dynamics which give rise to second-order a first-order system.  A similar case also is applied to dynamical systems of order greater than the 2nd. See: Ch.11 - Stephanopoulos, “Chemical process control: an Introduction to theory and practice” 27/09/2019 Process Instrumentation and Control - Prof. M. Miccio

INHERENTLY SECOND-ORDER SYSTEM 1. Mass M moving on a spring with a damper 2. U-tube liquid manometer 3. Variable capacitance differential pressure transducer 4. Pneumatic globe valve see: Ch.11 - Stephanopoulos, “Chemical process control: an Introduction to theory and practice” 27/09/2019 Process Instrumentation and Control - Prof. M. Miccio

MULTICAPACITY SYSTEMS Interacting and non interacting tanks HP: Linear outflow see: Ch.11 - Stephanopoulos, “Chemical process control: an Introduction to theory and practice” Interacting 27/09/2019 Process Instrumentation and Control - Prof. M. Miccio

MULTICAPACITY SYSTEMS Non interacting tanks 27/09/2019 Process Instrumentation and Control - Prof. M. Miccio

MULTICAPACITY SYSTEMS Non interacting tanks see: Ch.11 - Stephanopoulos, “Chemical process control: an Introduction to theory and practice” Transfer function with: 2 = P1P2 2 = P1 + P2 Kp = Kp1Kp2 Poles: p1 = −1/P1 p2 = −1/P2 27/09/2019 Process Instrumentation and Control - Prof. M. Miccio

MULTICAPACITY SYSTEMS Non interacting tanks In general, for n non interacting systems in series, the Transfer Function is: see: § 12.1 - Stephanopoulos, “Chemical process control: an Introduction to theory and practice” Example: 27/09/2019 Process Instrumentation and Control - Prof. M. Miccio

MULTICAPACITY SYSTEMS Interacting tanks see: Ch.11 - Stephanopoulos, “Chemical process control: an Introduction to theory and practice” TANK 1 TANK 2 27/09/2019 Process Instrumentation and Control - Prof. M. Miccio

MULTICAPACITY SYSTEMS Interacting tanks Transfer function da rivedere ! see: Ch.11 - Stephanopoulos, “Chemical process control: an Introduction to theory and practice” 27/09/2019 Process Instrumentation and Control - Prof. M. Miccio

Characteristics of 2-Capacity Processes  The dynamic response of the two-tank process is never underdamped Non-Interacting Systems Non-interacting systems will always result in an over-damped or critically damped second-order response. The poles of the overall system are equal to the individual poles and equal to the inverse of the individual time constants. If the individual time constants are equal, then the poles are equal. Interacting Systems The time constants of interacting processes may no longer be directly associated with the time constants of individual capacities. Interacting capacities are more "sluggish" than the noninteracting The transfer function of the 1st system is 2nd order with a negative zero from: Romagnoli & Palazoglu (2005), “Introduction to Process Control” 27/09/2019 Process Instrumentation and Control - Prof. M. Miccio

Characteristics of Multi-Capacity Processes Analysis of systems of growing order For n systems in series, increasing the number of systems increases the sluggishness of the response. see: § 11.3 - Stephanopoulos, “Chemical process control: an Introduction to theory and practice” hn(t)/Kpn 27/09/2019 Process Instrumentation and Control - Prof. M. Miccio