1 Control and Maintenance of the Vertical Position of an Inverted Pendulum Group Members: Bashar Fawal Robert Kiwan Arman Matti Shadi Nassrallah Dean Santana.

Slides:



Advertisements
Similar presentations
BSC 417/517 Environmental Modeling Introduction to Oscillations.
Advertisements

System Function For A Closed-Loop System
President UniversityErwin SitompulModern Control 7/1 Dr.-Ing. Erwin Sitompul President University Lecture 7 Modern Control
Chapter 9 PID Tuning Methods.
CHE 185 – PROCESS CONTROL AND DYNAMICS
Differential Equations
EE357 Control System I - Lec B2 (2010W) - Introduction.
SOFTWARE TESTING. INTRODUCTION  Software Testing is the process of executing a program or system with the intent of finding errors.  It involves any.
Chapter 4: Basic Properties of Feedback
Qube-Servo Curriculum Presentation This presentation is intended to provide general content for any relevant presentations The general real-world applications.
T S R Q R Q = (R(ST) | ) | = (R(SQ) | ) | T S R Q CEC 220 Revisited.
A Typical Feedback System
Analysis of a Pendulum Problem after Jan Jantzen
עקיבה אחר מטרה נעה Stable tracking control method for a mobile robot מנחה : ולדיסלב זסלבסקי מציגים : רונן ניסים מרק גרינברג.
ME 746 Spring Dynamic Models Differential Equations in State-Variable Form.
Transient & Steady State Response Analysis
Chapter 11 1 Closed-Loop Responses of Simple Control Systems In this section we consider the dynamic behavior of several elementary control problems for.
Process Control Instrumentation II
CH 1 Introduction Prof. Ming-Shaung Ju Dept. of Mechanical Engineering NCKU.
Continuous Models Chapter 4. Bacteria Growth-Revisited Consider bacteria growing in a nutrient rich medium Variables –Time, t –N(t) = bacteria density.
Control Systems.
Physics 2015: Mechanical Energy Conservation Purpose Study energy conservation by looking at the relationship between three different types of energy:
CSE 425: Industrial Process Control 1. About the course Lect.TuLabTotal Semester work 80Final 125Total Grading Scheme Course webpage:
Database System Development Lifecycle
The Concept of a Root Locus
Automatic Control Theory-
1 Research on Animals and Vehicles Chapter 8 of Raibert By Rick Cory.
Ultrasonic Tracking System Group # 4 Bill Harris Sabie Pettengill Enrico Telemaque Eric Zweighaft.
Linear System Theory Instructor: Zhenhua Li Associate Professor Mobile : School of Control Science and Engineering, Shandong.
System & Control Control theory is an interdisciplinary branch of engineering and mathematics, that deals with the behavior of dynamical systems. The desired.
DNT Control Principle Root Locus Techniques DNT Control Principle.
Chapter 11 Angular Momentum Schedule 2+ Weeks left! 10- AprCh 11: Angular Mom. Ch 11: Angular Mom.+ Chapt 12.Ch 12: Statics 17- AprCh 12: StaticsCh 15:
Professor : Chi-Jo Wang Student’s name : Nguyen Van Binh Student ID: MA02B203 Two Wheels Self Balancing Robot 1 Southern Taiwan University Department of.
Brief Review of Control Theory
DYNAMIC BEHAVIOR AND STABILITY OF CLOSED-LOOP CONTROL SYSTEMS
RF Cavity Simulation for SPL Simulink Model for HP-SPL Extension to LINAC4 at CERN from RF Point of View Acknowledgement: CEA team, in particular O. Piquet.
Lecture 26. Control of the Diver In order for a diver to do what he or she does the diver applies effective torques at the joints We want to find a recipe.
1 Chapter 2 1. Parametric Models. 2 Parametric Models The first step in the design of online parameter identification (PI) algorithms is to lump the unknown.
CS 478: Microcontroller Systems University of Wisconsin-Eau Claire Dan Ernst Feedback Control.
Brian Macpherson Ph.D, Professor of Statistics, University of Manitoba Tom Bingham Statistician, The Boeing Company.
Model Reference Adaptive Control (MRAC). MRAS The Model-Reference Adaptive system (MRAS) was originally proposed to solve a problem in which the performance.
Control Systems Engineering
Control Systems and Adaptive Process. Design, and control methods and strategies 1.
Observer-Based Robot Arm Control System Nick Vogel, Ron Gayles, Alex Certa Advised by: Dr. Gary Dempsey.
Fuzzy Sets and Control. Fuzzy Logic The definition of Fuzzy logic is a form of multi-valued logic derived frommulti-valued logic fuzzy setfuzzy set theory.
Automatic Synthesis Using Genetic Programming of an Improved General-Purpose Controller for Industrially Representative Plants Martin A. Keane Econometrics,
Business Statistics for Managerial Decision Farideh Dehkordi-Vakil.
Feedback Loops Andrew McCarthy. Purpose of Feedback The primary reason for feedback control is to measure and compensate for the effect of disturbances.
Control Systems EE 4314 Lecture 12 February 20, 2014 Spring 2014 Woo Ho Lee
Motivation For analytical design of control systems,
7-1 ANSYS, Inc. Proprietary © 2009 ANSYS, Inc. All rights reserved. February 23, 2009 Inventory # Workbench - Mechanical Introduction 12.0 Chapter.
Stable Pendulum L M F=Mg  =(g/L) 1/2 Unstable Inverted Pendulum  = (-g/|L|) 1/2 = i(g/|L|) 1/2 = i  g L (rigid rod) Density-stratified Fluid stable.
Matlab Tutorial for State Space Analysis and System Identification
Chapter 4 A First Analysis of Feedback Feedback Control A Feedback Control seeks to bring the measured quantity to its desired value or set-point (also.
System Time Response Characteristics
Overhead Controller Design Project Name Department and University Date Class Name.
BASIC CONCEPTS OF CONTROL SYSTEM SEM :- V CONTROL ENGINEERING ENROLLMENT NO: GUIDED BY PROF. S.P.PATEL.
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.
EEN-E1040 Measurement and Control of Energy Systems Control I: Control, processes, PID controllers and PID tuning Nov 3rd 2016 If not marked otherwise,
Root Locus Techniques DNT Control Principle Date: 18th September 2008
Automatic Control Theory
Chapter 1: Overview of Control
Control Systems EE 4314 Lecture 12 March 17, 2015
Sliding Mode Control of a Non-Collocated Flexible System
Linear Control Systems
Brief Review of Control Theory
Feedback: Principles & Analysis
Overview of Control System
Chapter 8 State Feedback and State Estimators State Estimator In previous section, we have discussed the state feedback, based on the assumption that all.
Chapter 1 Introduction.
Presentation transcript:

1 Control and Maintenance of the Vertical Position of an Inverted Pendulum Group Members: Bashar Fawal Robert Kiwan Arman Matti Shadi Nassrallah Dean Santana

2 Physical System Diagram Parameter Notation: u = applied force acting upon the cart l = length of the rod M = mass of the mobile cart m = mass of the set point on the other end of the rod θ = deviation angle from the vertical reference mg = gravitational force acting upon the set point

3 Problem Statement To maintain the upright vertical position of a rod in a basic mechanical system relative to a mobile cart at all times. A critical problem that arises from the start is the fact that we’re dealing with a nonlinear system. Linearizing a state-space model of this system becomes a top priority in the control of the variables involved.

4 Plan of Attack The simulation process will be carried out in terms of three cases: Case 1: Comparison between the nonlinear and linear systems using classical feedback control. Case 2: Implementation of a state feedback control scheme which allows for a better system response and control at the desired positions. Case 3: Using state feedback control in light of the presence of an external disturbance.

5 Case 1 Observation: The effective differences arising from plotting the open loop step response of both the nonlinear and linear systems becomes clear when monitoring the behavior of the graph at the end of a one second interval. Classical Feedback Control Schemes: The use of feedback to correct the rod position and the cart position respectively produced unsatisfactory results as it relates to stability. The use of a dual feedback setup which accounts for the error between the actual and desired rod and cart positions produced better results.

6 Open Loop Step Response

7 Classical Feedback Control

8 Further Case Studies Case 2: Due to the futility in obtaining desired stability using classical control schemes, a state feedback control method and a state observer will be applied. Similar to chapters 11 and 12, certain conditions such as overshoot tolerance, settling time, and rise time will be examined by designing accordingly the values for ξ, ω n, K, and properly assigning the pole placements for stability purposes.

9 Further Case Studies Case 3: By maintaining the state feedback presence from Case 2, wind gusts compound the external force acting upon the system. Using the same approach as the previous case, the wind affect can be limited to a negligible force by assuring a relative degree of stability for both the cart and rod positions as time increases.

10 Analysis and Expectations The classical approach produced mediocre results characterized by heavy oscillation and instability. The use of state feedback resulted in a more stable system which was able to withstand deviations from the target points and revert to a more controlled setting. Disturbances of a reasonable nature can be effectively handled and minimized through the use of state feedback control methods resulting in the vertical position of the pendulum being maintainable.