Chapter 1 Introduction.

Slides:



Advertisements
Similar presentations
The Performance of Feedback Control Systems
Advertisements

Robotics Research Laboratory 1 Chapter 6 Design Using State-Space Methods.
Chapter 10 Stability Analysis and Controller Tuning
EE357 Control System I - Lec B2 (2010W) - Introduction.
Chapter 4: Basic Properties of Feedback
Chapter 7 System Compensation (Linear Control System Design)
A Typical Feedback System
Control Systems With Embedded Implementation (CSEI) Dr. Imtiaz Hussain Assistant Professor
© Goodwin, Graebe, Salgado, Prentice Hall 2000 Chapter7 Synthesis of SISO Controllers.
The City College of New York 1 Jizhong Xiao Department of Electrical Engineering City College of New York Manipulator Control Introduction.
Spring semester 2006 ESE 601: Hybrid Systems Review materials on continuous systems II.
I.1 ii.2 iii.3 iv.4 1+1=. i.1 ii.2 iii.3 iv.4 1+1=
Chapter 7: The Root Locus Method In the preceding chapters we discussed how the performance of a feedback system can be described in terms of the location.
I. Concepts and Tools Mathematics for Dynamic Systems Time Response
I.1 ii.2 iii.3 iv.4 1+1=. i.1 ii.2 iii.3 iv.4 1+1=
LTI system stability Time domain analysis
Modern Control Systems (MCS) Dr. Imtiaz Hussain Assistant Professor URL :
Islamic University of Gaza Electrical Engineering Department.
CH 1 Introduction Prof. Ming-Shaung Ju Dept. of Mechanical Engineering NCKU.
1 Basic Control Theory and Its Application in AMB Systems Zongli Lin University of Virginia.
© 2015 Being First, Inc. BeingFirst.com Critical Focus Areas of Leading Change Content of Change The organizational focus of the change (structure, strategy,
Feedback Control of Flexible Robotic Arms Mohsin Waqar Intelligent Machine Dynamics Lab Georgia Institute of Technology January 26, 2007.
Book Adaptive control -astrom and witten mark
1 In this lecture we will compare two linearizing controller for a single-link robot: Linearization via Taylor Series Expansion Feedback Linearization.
Ch6 The Root Locus Method. 6.3 Generalized root locus §Parameter root locus §Zero-degree root locus Equivalent unity feedback transform An example (refer.
Chapter 7 Stability and Steady-State Error Analysis
Introduction to ROBOTICS
Professor Walter W. Olson Department of Mechanical, Industrial and Manufacturing Engineering University of Toledo Transfer Functions.
Control Systems EE 4314 Final Study Guideline May 1, 2014 Spring 2014 Woo Ho Lee
Pioneers in Engineering, UC Berkeley Pioneers in Engineering Week 8: Sensors and Feedback.
ME 431 System Dynamics Dept of Mechanical Engineering.
EE 460 Advanced Control and Sys Integration Monday, August 24 EE 460 Advanced Control and System Integration Slide 1 of 13.
Lecture 25: Implementation Complicating factors Control design without a model Implementation of control algorithms ME 431, Lecture 25.
Professor Walter W. Olson Department of Mechanical, Industrial and Manufacturing Engineering University of Toledo Sensitivity.
EE2253 CONTROL SYSTEM PRESENTED BY S.S.KARTHIKA, AP/EEE
Lecture 7: State-Space Modeling 1.Introduction to state-space modeling Definitions How it relates to other modeling formalisms 2.State-space examples 3.Transforming.
The Real Stabilizability Radius of the Multi-Link Inverted Pendulum Connections 2006 ECE Graduate Symposium Presenter: Simon Lam Supervisor: Professor.
DEPARTMENT OF MECHANICAL TECHNOLOGY VI -SEMESTER AUTOMATIC CONTROL 1 CHAPTER NO.6 State space representation of Continuous Time systems 1 Teaching Innovation.
Introduction Control Engineering Kim, Do Wan HANBAT NATIONAL UNIVERSITY.
Control Engineering 05/09/2006Control SystemsLecture # 1.
Page : PID Controller Chapter 3 Design of Discrete- Time control systems PID C ontroller.
Chapter 1: Overview of Control
Realization of Dynamic Walking of Biped Humanoid Robot
Control Systems EE 4314 Lecture 12 March 17, 2015
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.
Islamic University of Gaza Electrical Engineering Department
Okwuchi Emereole and Malcolm Good, University of Melbourne
ME375 Handouts - Spring 2002 MESB374 System Modeling and Analysis System Stability and Steady State Response.
ECE 382. Feedback Systems Analysis and Design
Lec 14. PID Controller Design
DNT Control Principle Frequency Response Techniques DNT Control Principle.
Modern Control Systems (MCS)
Modern Control Systems (MCS)
Frequency Response Bode and Nyquist plots Nyquist stability theorem
Automatic Control System
Signals and Systems Using MATLAB Luis F. Chaparro
Quanser Rotary Family Experiments
IA3112 Automatiseringsteknikk (Automatic Control)
Control Systems Design
Summary Feedback Control (Main Take Away Points) (See also notes)
Synthesis of SISO Controllers
Motion Control.
Dynamical Systems Basics
Review materials on continuous systems II
Feedback Control Systems EELE 3360
CONTROL INTRO & OVERVIEW
Modern Control Systems (MCS)
Chapter 1. Introduction to Control System
IntroductionLecture 1: Basic Ideas & Terminology
Presentation transcript:

Chapter 1 Introduction

Course Overview

Course content I Brief Intro to Simulation Models II Design Models Equilibria and Linearization Transfer Function Models State Space Models III PID Control Design Pole Placement for Second Order Systems Design Strategies for Second Order Systems System Type and Integrators Digital Implementation of PID Controllers IV Root-locus-based Control Design Root-locus Analysis, Stability, Performance Dynamic Compensation V Loopshaping Control Design Frequency Response of LTI Systems Frequency Domain Specifications Stability and Robustness Margins Compensator Design VI Observer-Based Control Design Full-State Feedback Integrator with Full State Feedback Observers

Design Study A: Single Link Robot Arm

Design Study B: Pendulum on a Cart

Design Study C: Satellite Attitude Control

Design Study D: Mass Spring Damper

Design Study E: Ball on Beam

Design Study F: Planar VTOL

What can feedback do for you? Reduce your system’s sensitivity to disturbances Reduce your system’s sensitivity to changes in its dynamics Change the dynamics of your system Can move the eigenvalues (aka poles, characteristic roots) to desirable locations in the s-plane Improve stability properties Improve system performance (e.g., speed of response, steady-state error, etc.) Other stuff too!

Our big goal Learn how to use feedback control to bring about desired behaviors in dynamic systems Analysis Design