Team Green John Barker John Beverly Keith Skiles UTC ENGR329-001 2-15-06 Steady State and Step Response Performance Speed Control System.

Slides:



Advertisements
Similar presentations
P10505 – Cold Pressure Fusing II Performance Review Team Fusion 5/7/2010.
Advertisements

CHE 185 – PROCESS CONTROL AND DYNAMICS
DAQ Calibration for Heat Exchanger Calibration of Cold/Hot Flow Rate and Temperature UTC ENCH/ENEV /25/03 Greg Kirton Kevin Zitzow Phuong Mai.
Transforming C(s) into c(t): Negative Feedback Control with Proportional Only Controller Jigsaw Team Estrogen Stephanie Wilson Amanda Newman Jessica Raymond.
Green Team Dustin Fraley DeAndre Strong Stephanie Wilson September 14, 2005 UTC ENGR 329 Speed System.
Figure1.5 Elevator input and output
Voltage Control System: Proportional Integral (PI) Controllers Team Purple: John Pangle Jessica Raymond Justin Whitt ENGR 329 November 30, 2005.
-Pressure System- Root Locus Cory Richardson Dennis To Jamison Linden 6/14/2015, UTC, ENGR-329.
Flow Rate Control System “Step Response Modeling” February 15, 2006 U.T.C. Engineering 329.
Flow Control System Steady State Operation & Step Response February 1 st, 2006 U.T.C. ENGR 329.
R(s)C(s). R(s) #1 #2 #3#4 #5 #6 #7 #8 #9 #10 R(s)
FLOW RATE CONTROL SYSTEM
Level Team Team Members Note by Dr. Henry: List your team members’ names on this slide.
LEVEL-1 Frequency Response –Experiments –Modeling Jim Henry.
Marshal Stout Michael Brooks Nathan Wilson ENGR 329 Team Green February 11, 2009.
Pressure System Amanda Newman Andy Patel Bryan Cuervo September 28 th 2005 ENGR. 329 UTC Engineering.
Flow Rate Control System
Flow through Packed Beds Brad Parr Brett Plemons E435.
Team Green Speed Control - Steady State Performance and Step Response John Barker John Beverly Keith Skiles ENGR 329 UTC 2/1/06.
Red Team Amanda Newman Ankit Patel Bryan Cuervo UTC ENGR 329 Sept. 14, 2005.
Red Team -Pressure- Steady State Operating And Step Response Dennis To Cory Richardson Jamison Linden 6/26/2015, UTC, ENGR-329.
-Pressure System- Frequency Response Cory Richardson Dennis To Jamison Linden 6/27/2015, UTC, ENGR-329.
Transient & Steady State Response Analysis
Pressure Control System: Root Locus Plotting Team Green: X Y Z.
Flow Rate Control System “Frequency Response” By: Taylor Murphy March 1, 2006 U.T.C. Engineering 329.
Root Locus Plotting Red Squad Flow System Ben Gordon, Ben Klingler, Dianah Dugan October 31, 2007 University of Tennessee Chattanooga ENGR 329.
Green Team Speed System Proportional Only Controller Design and Experimental Dustin Fraley DeAndre Strong Stephanie Wilson.
B Note from Dr. Henry These slides are suggested to be ADDED to your previous presentation that included system description, diagrams, SSOC, operating.
Flow Rate Control System Proportional Only Controller April 2, 2006 U.T.C. Engineering 329.
Yellow Team Spray-Booth Pressure Station Steady, Step Behavior and Step Modeling Jamie West Jay Baker Joel Wood 10/10/11 UTC ENGR 3280L.
Swinging Pendulum Engineering Lab Background Info This activity shows the engineering importance of understanding the laws of mechanical energy. More.
Experimental determination of motor model parameters ETEC6419.
Transfer Functions Chapter 4
Application of Monte Carlo Methods for Process Modeling
It is the time response of a system to an input that sets the criteria for our control systems. Many quantitative criteria have been defined to characterise.
In-term project presentation by Kanish Jindal Modeling of chlorine contact chamber at West Lafayette treatment plant.
Centrifugal Pump Performance Experiment Presented by: Steven King ME 498 Senior lab November 16, 2004.
Prognosis of Gear Health Using Gaussian Process Model Department of Adaptive systems, Institute of Information Theory and Automation, May 2011, Prague.
Figure 1.1 Simplified description of a control system
HOMEWORK 08D Block diagrams Problem 1: Problem 2:
Lecture 4: Important structures of simple systems 1.
ME 335 Boğaziçi University A Study on Motor Speed Control.
Chapter 2 Mathematical Background Professor Shi-Shang Jang Chemical Engineering Department National Tsing-Hua University Taiwan March,
Math – What is a Function? 1. 2 input output function.
Notes Over 4.8 Identifying Functions A relation where each input has exactly one output. Function Decide whether the relation is a function. If it is.
Transfer Functions Convenient representation of a linear, dynamic model. A transfer function (TF) relates one input and one output: The following terminology.
Automatic Control Theory School of Automation NWPU Teaching Group of Automatic Control Theory.
7th International Scientific Conference on “Energy and Climate Change”
University of Baghdad College of engineering Ele. & Com. Dept. 3 rd Year Matlab Report of By Ahmed Alaa Part I Part II.
CHAPTER VI BLOCK DIAGRAMS AND LINEARIZATION
Kinetics. Definition Kinetics is the study of reaction rates Reaction Rate is the speed of reaction Reaction rate is measured as the change in concentration.
Chapter 3 : Simple Process Dynamics and Transfer Function
Lecture 5\6 Analysis in the time domain (I) —First-order system North China Electric Power University Sun Hairong.
Lesson 19: Process Characteristics- 1 st Order Lag & Dead-Time Processes ET 438a Automatic Control Systems Technology lesson19et438a.pptx 1.
Transfer Functions Chapter 4
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
CHAPTER VI BLOCK DIAGRAMS AND LINEARIZATION
Basic Design of PID Controller
Modeling in the Time Domain
G1 and G2 are transfer functions and independent of the
Jamie West Jay Baker Joel Wood 11/2/11 UTC ENGR 3280L
Lesson 10: Sensor and Transducer Electrical Characteristics
ELEG 3124 Signals and Systems
Jamie West Jay Baker Joel Wood 10/10/11 UTC ENGR 3280L
Flow through Packed Beds
Jigsaw Team Estrogen Stephanie Wilson Amanda Newman Jessica Raymond
G1 and G2 are transfer functions and independent of the
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.
Control System and Transfer Function
Presentation transcript:

Team Green John Barker John Beverly Keith Skiles UTC ENGR Steady State and Step Response Performance Speed Control System

Outline  System Background –Description, SSOC, Step Response  FOPDT Model  Model Theory  Results  Conclusions

Aerator Mixer Speed Control System

Block Diagram of System

Time Response (Gain)

Time Response (Dead Time)

Time Response (Time Constant)

Step Response Values and Errors K (RPM/%)t0 (s) τ (s) Average Std. Dev

Laplace Domain FOPDT Model  System Transfer Function  G(s) = Ke / τ s+1 –Parameters t 0 =Dead Time t 0 =Dead Time K = System Gain K = System Gain τ = Time Constant τ = Time Constant -t0s-t0s

FOPDT Model  Model Equation in Time Domain – C(t) = A*u(t-t d -t 0 )*K*(1-e ) -( t-td-t0 )

Results

Time Response (Gain)

Time Response (Dead Time)

Time Response (Time Constant)

Overall Results Experimental Results: Steady State Gain : K= 17.1RPM/% ± 0.10 Dead Time : t 0 = 0.06s ± Time Constant : τ = 0.19s ± Model Results: Steady State Gain : K= 17.4RPM/% Dead Time : t 0 = 0.1s Time Constant : τ = 0.23s

Conclusions  Operating Range RPM  K = 17.4 RPM/%  t 0 = 0.1s  τ = 0.23s

Red Team -Pressure- Steady State Operating And Step Response Dennis To Cory Richardson Jamison Linden 6/28/2015, UTC, ENGR-329

Contents  Background Description, SSOC, Step Response  FOPDT Model  Model Theory  Results  Conclusions

Background  System  Input  Output  SSOC  Operating Range

System Figure 1. Schematic diagram of the Dunlap Plant Spray-Paint Booths

Block Diagram Figure 2. Block diagram of paint Booth System

SSOC Operating Range for Output Operating Range for Input

Operating Range  Input operating range (45%-90%)  Output operating range ( cm-H2O)

Theory  Transfer Function  Parameters

Transfer Function Transfer Function m(s) Input c(s) Output 1 0   s Ke st  K=Gain=∆c/∆m=(cm-H2O)/% to=Dead Time τ=Time Constant (use 0.632∆c) Uncertainties (max-min)*(t/n)

Parameters LowerUpper Middle

Results  Experimental (Step-up, Step-down)  Time Response (Gain)  Time Response (Dead Time)  Time Response (Time Constant)

Experimental (Step-up)

Experimental (Step-down)

Time Response (Gain)

Time Response (Dead Time)

Time Response (Time Constant)

FOPDT Model  Model Equation  C(t) = A*u(t-t d -t 0 )*K*(1-e -((t-t d -t 0 )/tau) ) Parameters  t d =15 sec.  A = 15 %  K =.21 cm-H 2 O /%  t 0 = 0.52 sec.  tau = 1.8 sec.  inbl= 60%  outbl=2 cm-H 2 O

Model Time Response (Gain)

Model Time Response (Dead Time)

Model Time Response (Time Constant)

Results  EXPERIMENTAL PARAMETERS INCREASING STEADY STATE GAINK cm-H2O/% DEAD TIMEto0.5 s TIME CONSTANTt1.7 s  EXPERIMENTAL PARAMETERS DECREASING STEADY STATE GAINK cm-H2O /% DEAD TIMEto0.5 s TIME CONSTANTt1.7 s

Conclusions  Input operating range  Output operating range  (K) goes up as the input % is increased ( cm-H2O/%)  (t o) stays constant (0.5sec)  ( ) stays constant (1.7sec)

Flow Rate Control System “Step Response Modeling” February 15, 2006 U.T.C. Engineering 329

Yellow Team  Jimy George  Jeff Lawrence  Taylor Murphy  Jennifer Potter

Outline  System Background Description, SSOC, Step Response  FOPDT Theory  Model Theory  Results  Conclusions

Flow System Setup

Block Diagram

Steady State Operation

SSOC

Step Response: 70%-85%

FOPDT Model  Transfer Function

FOPDT Model  Model Equation Excel Parameters  t d = Time step occurs  A = Height of Step  inbl = Initial Input  outbl= Initial Steady Value

Experimental and Model Results K (lb/min/%) =0.26 Tau (sec) =0.46 t0 (sec) =0.42

Experimental and Model Results…cont K (lb/min/%) = 0.27 Tau (sec) = 0.47 t0 (sec) = 0.47

Results

Results … cont

MODEL PARAMETERS DECREASING STEADY STATE GAINK2.5 V/% DEAD TIMEt o 0 s TIME CONSTANT  0.6 s / 1.2 s / 2.4 s EXPERIMENTAL PARAMETERS DECREASING STEADY STATE GAINK2.5 V/% DEAD TIMEt o 0 s TIME CONSTANT  0.2 s OVERALL RESULTS MODEL PARAMETERS STEADY STATE GAIN,K =0.25 lb/min/% DEAD TIME,t o = 0.45 s TIME CONSTANT,  0.48 s EXPERIMENTAL PARAMETERS STEADY STATE GAIN,K =0.25 lb/min/% DEAD TIME,t o = 0.39 s TIME CONSTANT,  0.51 s OVERALL RESULTS

b Experimental Error Standard Deviations STEADY STATE GAIN,K = ± 0.01(lb/min/%) DEAD TIME,t o = ± 0.08 (sec) TIME CONSTANT,  ± 0.03 (sec) MODEL Error Standard Deviation STEADY STATE GAIN,K = ± 0.01 (lb/min/%) DEAD TIME,t o = ± 0.02 (sec) TIME CONSTANT,  ± 0.04 (sec)