Red Team Amanda Newman Ankit Patel Bryan Cuervo UTC ENGR 329 Sept. 14, 2005.

Slides:



Advertisements
Similar presentations
Chapter 9: Inferences for Two –Samples
Advertisements

Chapter 13 Multiple Regression
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.
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.
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.
Mean for sample of n=10 n = 10: t = 1.361df = 9Critical value = Conclusion: accept the null hypothesis; no difference between this sample.
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.
PSY 307 – Statistics for the Behavioral Sciences
Team Green Speed Control - Steady State Performance and Step Response John Barker John Beverly Keith Skiles ENGR 329 UTC 2/1/06.
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.
A Decision-Making Approach
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.
Team Green John Barker John Beverly Keith Skiles UTC ENGR Steady State and Step Response Performance Speed Control System.
Root Locus Plotting Red Squad Flow System Ben Gordon, Ben Klingler, Dianah Dugan October 31, 2007 University of Tennessee Chattanooga ENGR 329.
Business Statistics: A Decision-Making Approach, 7e © 2008 Prentice-Hall, Inc. Chap 10-1 Business Statistics: A Decision-Making Approach 7 th Edition Chapter.
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.
T T Population Variance Confidence Intervals Purpose Allows the analyst to analyze the population confidence interval for the variance.
Flow Rate Control System Proportional Only Controller April 2, 2006 U.T.C. Engineering 329.
What does Kc do?. What is Kc? Kc is the Controller Gain of a control system. It can be adjusted to obtain a variety of system responses.
1 Confidence Intervals for Means. 2 When the sample size n< 30 case1-1. the underlying distribution is normal with known variance case1-2. the underlying.
Yellow Team Spray-Booth Pressure Station Steady, Step Behavior and Step Modeling Jamie West Jay Baker Joel Wood 10/10/11 UTC ENGR 3280L.
Airball Demo Modeling —— Dimensional Analysis Method Based on Genetic Algorithm for Key Parameters Identification Name : Zhisheng Team Advisor : Zhang.
One Sample  M ean μ, Variance σ 2, Proportion π Two Samples  M eans, Variances, Proportions μ1 vs. μ2 σ12 vs. σ22 π1 vs. π Multiple.
1 Formal Evaluation Techniques Chapter 7. 2 test set error rates, confusion matrices, lift charts Focusing on formal evaluation methods for supervised.
1/2555 สมศักดิ์ ศิวดำรงพงศ์
Experimental determination of motor model parameters ETEC6419.
Normal Distributions Z Transformations Central Limit Theorem Standard Normal Distribution Z Distribution Table Confidence Intervals Levels of Significance.
Determination of Sample Size: A Review of Statistical Theory
Lecture 19 Review: First order circuit step response Steady-state response and DC gain Step response examples Related educational modules: –Section
Outline Introduction & BackgroundSystem Description & DiagramSpecificationsDesign – Four StagesFuture Development 211/22/2006.
Math – What is a Function? 1. 2 input output function.
Feedback Control system
Control systems KON-C2004 Mechatronics Basics Tapio Lantela, Nov 5th, 2015.
Automatic Control Theory School of Automation NWPU Teaching Group of Automatic Control Theory.
© Copyright McGraw-Hill 2004
Various Topics of Interest to the Inquiring Orthopedist Richard Gerkin, MD, MS BGSMC GME Research.
Cell#1 Program Instructions. Don’t run. Used to load a Statistical Package Cell #3 Defines standard normal pdf and cdf functions Ignore spelling warning.
Hypothesis Testing. Suppose we believe the average systolic blood pressure of healthy adults is normally distributed with mean μ = 120 and variance σ.
Lecture 8 Estimation and Hypothesis Testing for Two Population Parameters.
R&R Homework Statgraphics “Range Method”. DATA OperatorPartTrialMeasure B B B B B B326.5 B B B C
Combinations of SDC methods for continuous microdata Anna Oganian National Institute of Statistical Sciences.
Statistics for Business and Economics 7 th Edition Chapter 7 Estimation: Single Population Copyright © 2010 Pearson Education, Inc. Publishing as Prentice.
Parameter Estimation.
IPC (GROUP-5) SR. NO NAME EN. NO 1 SAVAN PADARIYA
Assistant Professor of Public Policy
Math 4030 – 10b Inferences Concerning Variances: Hypothesis Testing
Chapter 11 Hypothesis Testing II
Section 11.2: Carrying Out Significance Tests
Estimates Made Using Sx
Section 7.7 Introduction to Inference
Jamie West Jay Baker Joel Wood 11/2/11 UTC ENGR 3280L
Lesson 10: Sensor and Transducer Electrical Characteristics
CHAPTER 6 Statistical Inference & Hypothesis Testing
Jamie West Jay Baker Joel Wood 10/10/11 UTC ENGR 3280L
Determining Which Method to use
Flow through Packed Beds
Sampling Distributions
Jigsaw Team Estrogen Stephanie Wilson Amanda Newman Jessica Raymond
Presentation transcript:

Red Team Amanda Newman Ankit Patel Bryan Cuervo UTC ENGR 329 Sept. 14, 2005

Outline Process Control Theory Background Steady State/Step Response Results Conclusions

Systems Identification M(t) vs. C(t) The SSOC Operation range The FOPDT Steady-state gain, response time, dead time

Background – System Parameters Input M(t) % power to blower motor (%) Output C(t) Pressure (cm-H2O)

Block Diagram – Pressure System

Pressure System Schematic

TAPTUBING OUTLET BLOWER MOTOR VARIABLE SPEED DRIVE CIRCUIT CONNECTOR PRESSURE RECORDING CONTROLLER DAMPERS TRANS- DUCER

SSOC Calculations Steady-state response curves Trials at 10% input intervals Sample range taken from steady-state region (12-15 seconds)

Results – Pressure System

FOPDT PARAMETER CALCULATIONS Input ranges 10-40%, 40-70%, % All “UP” Steps 4 trials per input step range t 0,T and K Ave 95% confidence level – Student’s t

Results – Step Response

Parameter Results – Data Sample

Parameter Results

Summary and Conclusions The C(t), M(t) relation SSOC Non-linear 1-10 cm-H2O Operational output range 30%-100% Operational input range

Summary and Conclusions FOPDT Step Response Parameters Gain – Increases from lower to upper ranges. Response Time – Significant variance between ranges. Dead Time – Decreases from lower to upper ranges.