ECEn 191 – New Student Seminar - Session 10: Controls Controls ECEn 191 New Student Seminar.

Slides:

Advertisements

Similar presentations

Add and Use a Sensor & Autonomous For FIRST Robotics

Advertisements

Kinematics- Acceleration Chapter 5 (pg ) A Mathematical Model of Motion.

(list of team members:….) A Project Proposal in partial fulfillment of ECE 4115 This is only a mock proposal.

Robotics Intensive: Day 3 Gui Cavalcanti 1/17/2012.

Evolving Driving Controllers using Genetic Programming Marc Ebner and Thorsten Tiede.

ECEn 191 – New Student Seminar - Session 13: Wrap Up Wrap-Up – Your Future in Electrical and Computer Engineering ECEn 191 New Student Seminar.

We’ve already discussed and used accelerations tangential ( a t ) and normal ( a n ) to the path of motion. We’ve calculated a n from a n = v 2 /r (circular.

Mechatronics 1 Weeks 13. Learning Outcomes By the end of week 13 session, students will understand the application and future trends robots.

Roberto - Balancing Robot RIT Computer Engineering Senior Design Project.

Physics is mathematical not because we know so much about the physical world, but because we know so little; it is only its mathematical properties that.

How organizations use ICT:. Technological advancements in  process monitoring,  control  and industrial automation in recent years have improved the.

Intelligent Steering Using PID controllers

Proportional/Integral/Derivative Control

CIS 540 Principles of Embedded Computation Spring Instructor: Rajeev Alur

Control Engineering Lecture #2 15 th March,2008. Introduction to control systems Reference: Phillips and Habor The first applications of feedback control.

ECEn 191 – New Student Seminar - Session 5: Integrated Circuits Integrated Circuits ECEn 191 New Student Seminar.

Real-time systems Systems Refers to: (computing, communication, and information) (c) Rlamsal DWIT.

ECEn 191 – New Student Seminar - Session 12: Power Power ECEn 191 New Student Seminar.

Motion SWBAT define speed and acceleration; relate acceleration to change in speed; calculate distance, speed, and acceleration.

Chapter 5 Trajectory Planning 5.1 INTRODUCTION In this chapters …….  Path and trajectory planning means the way that a robot is moved from one location.

Chapter 5 Trajectory Planning 5.1 INTRODUCTION In this chapters …….  Path and trajectory planning means the way that a robot is moved from one location.

Use of quadratic function Stopping distance. The stopping distance of a vehicle is proportional to the square of its velocity. This relativeness describes.

HARDWARE INTERFACE FOR A 3-DOF SURGICAL ROBOT ARM Ahmet Atasoy 1, Mehmed Ozkan 2, Duygun Erol Barkana 3 1 Institute of Biomedical Engineering, Bogazici.

Kinematics- Acceleration Chapter 5 (pg ) A Mathematical Model of Motion.

AS Wireless Automation Implementing PIDPLUS for Halvari system.

Controls. Given a set of desired Tool frame positions and orientations (that trace out a path over time, t ), there will be a corresponding required set.

Control of Robot Manipulators

Robotics Challenges. Challenge Slide 2 Have your robot make a left curved turn around your Lego person. Go forward, then reverse. Come to a stop, play.

Remote Control Parking (RCP)

Objectives Discuss final project deliverables Control Terminology

Control Theory in Industry, Robotics and Infrastructure

Brief introduction of the speaker Sebastian Thrun is the director of the Stanford Artificial Intelligence Lab and is working, through robotics, to change.

Control Theory Control System Objectives  Establish a final condition  Provide safe operation  Eliminate the human element  Assure economical operation.

The first law of motion states that n object at rest will remain at rest and an object in motion will remain in motion unless acted on by an outside force.

ECEn 191 – New Student Seminar - Session 11: Photonics Photonics ECEn 191 New Student Seminar.

Cruise Control 3 RETURN OF THE SPEED CONTROL JEFF FERGUSON, TOM LEICK.

2.1 Position, Velocity, and Speed 2.1 Displacement  x  x f - x i 2.2 Average velocity 2.3 Average speed  

 Introduction  What is Driverless Car ?  History  Component  Action  Technology  Advantages  Disadvantages  Conclusion  Reference.

ECEn 191 – New Student Seminar - Session 4: Image Processing ECEn191 – New Student Seminar – Session 9: Digital Information Digital Information ECEn 191.

ECE 192: NATCAR Team (Triton X) Sponsored by IEEE ( Vincent Bantigue, Joseph Formanes,

What is acceleration? Section 4-2. Changing speed Speeding up and slowing down are changes in speed. To find the change is speed subtract the initial.

Embedded Control Systems Dr. Bonnie Heck School of ECE Georgia Tech.

ECEn 191 – New Student Seminar - Session 2: Communications ECEn 191 – New Student Seminar – Session 2: Electromagnetic Transmission Electromagnetic Transmission.

Speed, Velocity & Acceleration. Speed (s) – rate at which an object is moving Does not depend on direction speed = distance ÷ time (s = d/t) Constant.

ECE 192: NATCAR Team (Triton X) Sponsored by IEEE ( Vincent Bantigue, Joseph Formanes,

Dynamics. Motion with Regard to Mass Particle Dynamics Mass concentrated in point Newton’s Equation Governs Motion f = M x.

Vector Lessons Visual representations are conceptually useful but quantitatively imprecise A vector itself is independent of our choice of coordinate system;

Warm-up Get your green folder Make sure you have at least two pages of notebook paper in your brads If you don’t add some Label the new sheet “Motion Graph.

 A force is a push or pull that can cause motion (speed up, slow down, stop, move, or change direction)  Force is measured in Newtons (N)  Force is.

CIS 540 Principles of Embedded Computation Spring Instructor: Rajeev Alur

Introduction to control systems

VEX Cortex Video Trainer using ROBOTC

Chapter 3 Cruise Control

Speed & Velocity.

2016 Maintenance Innovation Challenge Automated Inspections and RANDE

Motion in One Dimension 2.2

Control Loops Nick Schatz FRC 3184.

Early airbags required the installation of several bulky accelerometers made of discrete components mounted in the front of the car, with separate electronics.

Pictures and cars.

ME 190 Mechatronic Systems Design

Project Overview Introduction Frame Build Motion Power Control Sensors

Elevator Simulation Lab

Kinematics Formulae & Problems Day #1

Robotics and EVT - line follower -

To use it you will have to provide the narration.

If a 50 kg box has a 200 N force applied to it what is the acceleration?

Day 4 10/21/10 Topic: Accelerated Motion Diagrams

Creating Conceptual Graphs

Speed & Velocity.

Presentation transcript:

ECEn 191 – New Student Seminar - Session 10: Controls Controls ECEn 191 New Student Seminar

ECEn 191 – New Student Seminar - Session 10: Controls WE ALREADY KNOW CONTROL

ECEn 191 – New Student Seminar - Session 10: Controls EARLY ELECTRONIC EXAMPLE

ECEn 191 – New Student Seminar - Session 10: Controls CONTROL EXAMPLE 1

ECEn 191 – New Student Seminar - Session 10: Controls CONTROL EXAMPLE 2

ECEn 191 – New Student Seminar - Session 10: Controls CONTROL EXAMPLE 3

ECEn 191 – New Student Seminar - Session 10: Controls A CONTROLLED SYSTEM Control Algorithm Actuators System Sensors Objectives

ECEn 191 – New Student Seminar - Session 10: Controls CRUISE CONTROL SYSTEM

ECEn 191 – New Student Seminar - Session 10: Controls BANG-BANG CONTROL

ECEn 191 – New Student Seminar - Session 10: Controls BANG-BANG: DEADBAND

ECEn 191 – New Student Seminar - Session 10: Controls PID CONTROL P – Proportional I – Integral D – Derivative

ECEn 191 – New Student Seminar - Session 10: Controls PROPORTIONALITY CONTROL proportionality constant speed acceleration = k p (desired speed – measured speed) desired speed measured speed

ECEn 191 – New Student Seminar - Session 10: Controls INTEGRATION CONTROL integration constant speed acceleration = k p (desired speed – measured speed) + k i [  (desired speed – measured speed) dt] desired speed measured speed

ECEn 191 – New Student Seminar - Session 10: Controls DERIVATIVE CONTROL derivative constant acceleration = k p (desired speed – measured speed) + k i [  (desired speed – measured speed) dt] + k d [ d/dt (desired speed – measured speed) ] speed desired speed measured speed

ECEn 191 – New Student Seminar - Session 10: Controls OTHER SETPOINT EXAMPLES

ECEn 191 – New Student Seminar - Session 10: Controls PATH PLANNING start stop

ECEn 191 – New Student Seminar - Session 10: Controls A POSSIBLE PATH SOLUTION start stop

ECEn 191 – New Student Seminar - Session 10: Controls V – Put up a slide with a picture of a self-driving car – perhaps from DARPA Grand Challenge AUTOMATION - SELF DRIVING CAR

ECEn 191 – New Student Seminar - Session 10: Controls PARALLEL PARKING CAR

ECEn 191 – New Student Seminar - Session 10: Controls BYU ROBOT SOCCER

ECEn 191 – New Student Seminar - Session 10: Controls AUTOMATION - MANUFACTURING

ECEn 191 – New Student Seminar - Session 10: Controls ECE CAREERS - AEROVIRONMENT

ECEn 191 – New Student Seminar - Session 10: Controls ECE CAREERS - IROBOT

ECEn 191 – New Student Seminar - Session 10: Controls ECE CAREERS - SEGWAY

ECEn 191 – New Student Seminar - Session 10: Controls WHAT’S NEXT Coordinated Control Very Difficult Environments

ECEn 191 – New Student Seminar - Session 10: Controls CONTROL CLASSES ECEn 380 – Signals and Systems ECEn 483 – Design of Control Systems ECEn 490 – Senior Project (Indoor Flying Robot)

ECEn 191 – New Student Seminar - Session 10: Controls LAB EXERCISE