Alexander Voice, Boron Delta Andrew Wilkins, Boron Delta

Slides:



Advertisements
Similar presentations
PID Control Professor Walter W. Olson
Advertisements

Model-based PID tuning methods Two degree of freedom controllers
10.1 Introduction Chapter 10 PID Controls
PID Controllers and PID tuning
INDUSTRIAL AUTOMATION (Getting Started week -1). Contents PID Controller. Implementation of PID Controller. Response under actuator Saturation. PID with.
Discrete Controller Design
ABS Control Project Ondrej Ille Pre-bachelor Project.
CHE 185 – PROCESS CONTROL AND DYNAMICS
Chapter 4: Basic Properties of Feedback
Controller Design, Tuning. Must be stable. Provide good disturbance rejection---minimizing the effects of disturbance. Have good set-point tracking---Rapid,
PID Control -1 + Professor Walter W. Olson
A UTOMATING PID C ONTROLS IN M ATHCAD Neil Kuyvenhoven Engr 315 December 11,2002.
ChE / MET Mar Mar 07 2 Apr Mar 09.
LECTURE#10 PID CONTROLLER
CHE 185 – PROCESS CONTROL AND DYNAMICS
ECE 4951 Lecture 5: PID Control of Processes. PID Control A closed loop (feedback) control system, generally with Single Input-Single Output (SISO) A.
Marshal Stout Michael Brooks Nathan Wilson ENGR 329 Team Green February 11, 2009.
Roberto - Balancing Robot RIT Computer Engineering Senior Design Project.
Control Theory (2) Jeremy Wyatt School of Computer Science University of Birmingham.
Green Team Speed System Proportional Only Controller Design and Experimental Dustin Fraley DeAndre Strong Stephanie Wilson.
Process Control Instrumentation II
PID Control & ACS550 and ACH550
CHE 185 – PROCESS CONTROL AND DYNAMICS CONTROL LOOP ANALYSIS.
Lecture 7: PID Tuning.
1 An Introduction to Proportional- Integral-Derivative (PID) Controllers Stan Żak School of Electrical and Computer Engineering ECE 382 Fall 2014.
بسم الله الرحمن الرحيم PID Controllers
ME 270 Final Project Presentation Operational Amplifiers.
Proportional/Integral/Derivative Control
LINEAR CONTROL SYSTEMS Ali Karimpour Associate Professor Ferdowsi University of Mashhad.
Experimental determination of motor model parameters ETEC6419.
Ch. 6 Single Variable Control
Agenda Path smoothing PID Graph slam.
Regression analysis Control of built engineering objects, comparing to the plan Surveying observations – position of points Linear regression Regression.
Controller Design (to determine controller settings for P, PI or PID controllers) Based on Transient Response Criteria Chapter 12.
Regression Regression relationship = trend + scatter
PID Controller Design and
Low Level Control. Control System Components The main components of a control system are The plant, or the process that is being controlled The controller,
Feedback Control system
بسم الله الرحمن الرحيم Advanced Control Lecture three Mohammad Ali Fanaei Dept. of Chemical Engineering Ferdowsi University of Mashhad Reference: C. C.
PID. The proportional term produces an output value that is proportional to the current error value. Kp, called the proportional gain constant.
Control Theory D action – Tuning. When there’s too much oscillation, this can sometimes be solved by adding a derivative action. This action will take.
Control Systems EE 4314 Lecture 12 Fall 2015 Indika Wijayasinghe.
Chapter 7 Adjusting Controller Parameters Professor Shi-Shang Jang Chemical Engineering Department National Tsing-Hua University Hsin Chu, Taiwan.
PID CONTROLLERS By Harshal Inamdar.
SELF TUNING OF CONTROLLERS What is a Controller Controller is an active element or device that receives the information from the measurements and takes.
Control Theory D action – Tuning. When there’s too much oscillation, this can sometimes be solved by adding a derivative action. This action will take.
Lec 12. PID Controller Design PID Controller Ziegler-Nichols Tuning Rule Reading: 10.1, 10.2, TexPoint fonts used in EMF. Read the TexPoint manual before.
Department of Electrical Engineering Southern Taiwan University of Science and Technology Robot and Servo Drive Lab. 學生 : 蔡景棠 指導教授 : 王明賢 2016/1/17 Compensation.
Controllability Analysis for Process and Control System Design
Lecture 9: PID Controller.
Modern Control Systems Lab#04 PID Position and speed control of D.C Motor Dr. Imtiaz Hussain
SKEE 3143 Control Systems Design Chapter 2 – PID Controllers Design
ABE425 Engineering Measurement Systems ABE425 Engineering Measurement Systems PID Control Dr. Tony E. Grift Dept. of Agricultural & Biological Engineering.
Process Control. Feedback control y sp = set point (target value) y = measured value The process information (y) is fed back to the controller The objective.
Salman Bin Abdulaziz University
Process Control & Instrumentation MAPUA INSTITUTE OF TECHNOLOGY
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.
Workshop for Flipped Class
Control engineering and signal processing
Introduction to PID control
Lec 14. PID Controller Design
PID controller for improving Max power point tracking system
Control Systems Lect. 4 PID Basil Hamed.
Basic Design of PID Controller
University of Virginia
Controller Tuning: A Motivational Example
7b. PID Controller Design
Dynamical Systems Basics
PID Controller Design and
INTRODUCTION TO CONTROL SYSTEMS
Presentation transcript:

Alexander Voice, Boron Delta Andrew Wilkins, Boron Delta PID Tuning Classical Methods ChE 466 – Team Boron Alexander Voice, Boron Delta Andrew Wilkins, Boron Delta October 18, 2007

PID Control Purpose – Provide a constant system output at a specified set point Analyze offset from set point – “error” Instantaneous offset (proportional) Permanent offset (integral) Change in offset (derivative) Objective – determine proportional, integral, and derivative scaling coefficients in the control equation

General Control Equation u(t) = Kc [e(t) + (1/Ti) ∫ e(t)dt + Td(de(t)/dt] u(t) is the controller output e(t) is error from the system set point Kc is the controller “gain” Ti and Td scale the integral in derivative parameters

Tuning Methods Ziegler-Nichols and Tyreus-Luyben Experimentally determine ultimate gain Ku and Pu Start with a low value of Kc Increase Kc until sustained oscillation is observed in the system output Ku is the smallest value of Kc which achieves oscillation Pu is the period of oscillation at Ku Correlation tables are used to determine Kc, Ti, and Td from Ku and Pu

Tuning Methods Cohen-Coon Generate a step impulse in a system input Track the system response as a function of time Determine… the original steady state output (A) the new steady state output (B) the time at which output = .5*B the time at which output = .632*B May require curve fitting or interpolation! Time Voltage

Tuning Methods Cohen-Coon B .632*B .5*B

Conclusions Z-N, T-L, and C-C all provide good initial guesses Z-N and T-L require more experimentation Cohen-Coon requires more computation Custom tuning should be used to optimize the control scheme and verify robustness