Multi-Vehicles Formation Control Exploring a Scalar Field

Similar documents
Multi-vehicles formation control exploring a scalar field

Advanced Mechatronics 1 st Mini Project. Remote Control Car. Jose Antonio De Gracia Gómez, Amartya Barua March, 25 th 2014

Mechatronics Project Presentation

Matlab Data Acquisition and Control Toolbox for Basic Stamp Microcontrollers

EEL5666C IMDL Spring 2006 Student: Andrew Joseph. *Alarm-o-bot*

Polytechnic University Professor Vikram Kapila SMART Program Summer 2005 FINDING THE CRITICAL ANGLE OF A PRISM. Team 5 Report:

EEL5666 Intelligent Machines Design Lab. Project Report

A Mechatronics-aided Light Reflection Experiment for Pre-College Students

Development of a MATLAB Data Acquisition and Control Toolbox for BASIC Stamp Microcontrollers

Autonomous Refrigerator. Vinícius Bazan Adam Jerozolim Luiz Jollembeck

THE NAVIGATION CONTROL OF A ROBOTIC STRUCTURE

CEEN Bot Lab Design A SENIOR THESIS PROPOSAL

Feed-back loop. open-loop. closed-loop

Embedded Systems & Robotics (Winter Training Program) 6 Weeks/45 Days

Wireless Technology in Robotics

Introducing the Quadrotor Flying Robot

Park Ranger. Li Yang April 21, 2014

BIDIRECTIONAL ROTATION OF AN INDUCTION MOTOR WITH A REMOTE CONTROL DEVICE

Internet of Things Student STEM Project Jackson High School. Lesson 3: Arduino Solar Tracker

Wheeled Mobile Robot Obstacle Avoidance Using Compass and Ultrasonic

ARRL Teachers Institute Introduction to Wireless Technology 8:00am - 4:00pm Daily

Parallax MHz RF Transmitter (#27980) Parallax MHz RF Receiver (#27981)

Training Schedule. Robotic System Design using Arduino Platform

Devastator Tank Mobile Platform with Edison SKU:ROB0125

Robotics & Embedded Systems (Summer Training Program) 4 Weeks/30 Days

VOICE CONTROLLED ROBOT WITH REAL TIME BARRIER DETECTION AND AVERTING

HB-25 Motor Controller (#29144)

PCB & Circuit Designing (Summer Training Program) 6 Weeks/ 45 Days PRESENTED BY

Mechatronics Project Report

UTILIZATION OF ROBOTICS AS CONTEMPORARY TECHNOLOGY AND AN EFFECTIVE TOOL IN TEACHING COMPUTER PROGRAMMING

SMART Funded by The National Science Foundation

Simulation Of Radar With Ultrasonic Sensors

ICTCM 28th International Conference on Technology in Collegiate Mathematics

An Autonomous Self- Propelled Robot Designed for Obstacle Avoidance and Fire Fighting

In this activity, you will program the BASIC Stamp to control the rotation of each of the Parallax pre-modified servos on the Boe-Bot.

SELF-BALANCING MOBILE ROBOT TILTER

TOSHIBA MACHINE CO., LTD.

Compass Module AppMod (#29113) Electro-Mechanical Compass

Project Proposal. Underwater Fish 02/16/2007 Nathan Smith,

Infrared Remote AppKit (#29122)

Polytechnic University Brooklyn, NY PI: Vikram Kapila URL:

II. LITERATURE REVIEW

TEAM AERO-I TEAM AERO-I JOURNAL PAPER DELHI TECHNOLOGICAL UNIVERSITY Journal paper for IARC 2014

Special Sensor Report: CMUcam. David Winkler 12/10/02 Intelligent Machines Design Lab Dr. A. A. Arroyo TAs: Uriel Rodriguez Jason Plew

Total Hours Registration through Website or for further details please visit (Refer Upcoming Events Section)

Non-holonomic Robotic Control Using the BasicX-24p Microcontroller

Mechatronics Engineering and Automation Faculty of Engineering, Ain Shams University MCT-151, Spring 2015 Lab-4: Electric Actuators

Jaguar Motor Controller (Stellaris Brushed DC Motor Control Module with CAN)

Boe-Bot robot manual

AUTOMATIC RAILWAY CROSSING SYSTEM

Visual Perception Based Behaviors for a Small Autonomous Mobile Robot

Mapping device with wireless communication

Abstract. 1. Introduction

Lab 06: Ohm s Law and Servo Motor Control

ME375 Lab Project. Bradley Boane & Jeremy Bourque April 25, 2018

INDY R2000 Module Series Specification

Intuitive Vision Robot Kit For Efficient Education

Building an autonomous light finder robot

ADVANCED SAFETY APPLICATIONS FOR RAILWAY CROSSING

Megamark Arduino Library Documentation

ECE 511: MICROPROCESSORS

ARDUINO BASED CALIBRATION OF AN INERTIAL SENSOR IN VIEW OF A GNSS/IMU INTEGRATION

Application Note Closed-Loop Motor Control

2.017 DESIGN OF ELECTROMECHANICAL ROBOTIC SYSTEMS Fall 2009 Lab 4: Motor Control. October 5, 2009 Dr. Harrison H. Chin

For Experimenters and Educators

Brushed DC Motor Control. Module with CAN (MDL-BDC24)

C++ PROGRAM FOR DRIVING OF AN AGRICOL ROBOT

DC motor control using arduino

MICROCONTROLLER BASED SPEED SYNCHRONIZATION OF MULTIPLE DC MOTORS IN TEXTILE APPLICATIONS

AN ARDUINO CONTROLLED CHAOTIC PENDULUM FOR A REMOTE PHYSICS LABORATORY

Solar Powered Obstacle Avoiding Robot

Linear vs. PWM/ Digital Drives

High Speed Continuous Rotation Servo (# )

PCB & Circuit Designing

Designing of a Shooting System Using Ultrasonic Radar Sensor

Arduino Based Robot for Pick and Place Application

The Torxis Linear Servo meets the following environmental conditions:

Implement a Robot for the Trinity College Fire Fighting Robot Competition.

Blue Point Engineering Inc.

Hybrid Power Autonomous Model Vehicle. Yizhao Zhuang. Chike Uduku. Matt Hinnenkamp. March 9, Department of Electrical and Computer Engineering

PCB & Circuit Designing (Summer Training Program 2014)

Robot Rangers. Low Level Design Document. Ben Andersen Jennifer Berry Graham Boechler Andrew Setter

Mechatronics Laboratory Assignment 3 Introduction to I/O with the F28335 Motor Control Processor

International Journal of Advance Engineering and Research Development

Cedarville University Little Blue

The Datasheet and Interfacing EE3376

Chapter #5: Measuring Rotation

Chapter 3: Assemble and Test Your Boe-Bot

Team Autono-Mo. Jacobia. Department of Computer Science and Engineering The University of Texas at Arlington

Wirelessly Controlled Wheeled Robotic Arm

Workshops Elisava Introduction to programming and electronics (Scratch & Arduino)

HAND GESTURE CONTROLLED ROBOT USING ARDUINO

Motion Control of a Three Active Wheeled Mobile Robot and Collision-Free Human Following Navigation in Outdoor Environment

Mech 296: Vision for Robotic Applications. Logistics

Autonomous Following RObot Critical Design Review

ECE 477 Digital Systems Senior Design Project Rev 8/09. Homework 5: Theory of Operation and Hardware Design Narrative

A Micro-Controller Based Robotics Course for ME Students

Directions for Wiring and Using The GEARS II (2) Channel Combination Controllers

Automobile Prototype Servo Control

Design of Tracked Robot with Remote Control for Surveillance

Transcription:

Multi-Vehicles Formation Control Exploring a Scalar Field Polytechnic University Department of Mechanical, Aerospace, and Manufacturing Engineering Polytechnic University,6 Metrotech,, Brooklyn, NY 11201 Mechatronics Professor Vikram Kapila Group # 9 Francesca Fiorilli <francescafiorilli2@gmail.com> Saran Kakarlapudi <saran.astronaut@gmail.com> Danny Tan <dnnytan3@yahoo.com>

Overview Objective Specifications Functionality and Algorithm Hardware Circuit Diagram Photos of Product PBasic Code Prototype Cost Analysis Product Limitations Conclusion and Improvements Acknowledgements

Objective Exploring a Scalar Field using Multiple Mobile Agents both In and Out of Formation Light 3 Mobile Agents Equilateral Triangle Formation

Specifications (aimed at) Controlled by Basic Stamp 2 microcontroller (succeeded) Safety features Instantaneous shutdown safety switch (did not use) Hard/Software features to prevent damage to the BS2 and other components (partially used) User Interface/Control (partially used) On/Off RF controller Analog Sensor (succeeded) Photo - resistor Digital Sensor (succeeded) RF transceiver Actuators (succeeded) Full rotation servo motors (6)

Multi-Vehicle Formation Control System of controls for multi-vehicles driven in formation Each capable of exploring a scalar field Light Intensity field (our choice) Basic Stamp powered computing Use RF transceivers to communicate Battery powered system 9V batteries

Functionality and Algorithm CASE 1: Stand Alone Operation Master is Manually Driven Followers Receive command from Master Maintenance of Formation Triggering Signal for Breaking of Formation Vehicle stops at a Safe Distance from Light Source If Job finished, then it communicates with the other vehicles and if necessary repeats the above algorithm

Functionality and Algorithm 2 CASE 2: Formation Operation When Triggered, Master senses the Scalar Field (Light Intensity) and comes up with the Trajectory Master Guides the Followers through RF transceivers Stoppage at Safe Distance from Light Source Once Job is finished, the above algorithm is repeated

Boe-Bot Bot Robot Kit Hardware Basic Stamp 2 (1) Board of Education (1) Robot chassis (1) Servos (2) Resistors (2, 1, 1)

Hardware 2 912MHz RF transceiver (1) 800 ft range 9600 baud serial 16-bit CRC Error Checking FIFO Buffer +3V to +5V Operation Built-In Antenna Photoresistor (1)

IR Sensor (Used only on the Master) Hardware 3 IR Remote * figures are not to

Circuit Diagram The Picture beside is a Simple Circuit Diagram for the Usage of RC time command. This is Used indirectly to obtain determine the Relative Intensity of Light

Circuit for the IR Receiver Circuit Diagram 2 Reading at PIN 9 depends on the key which is pressed on the IR Remote (our TV remote)

IR Waves

RF Transceiver

Photos of Product

Photos of the Product 2

PBasic Code

Prototype Cost Analysis Parts Name Unit Cost Quantity Sum Total Boe-Bot Robot Kit (Servos, Microcontroller, sensors included) $ 159.95 3 $ 479.85 912MHz RF Transceivers $ 49.95 3 $ 149.85 3 Function Universal Remote $ 10.00 1 $ 10.00 Miscellaneous (shipping, taxes, etc.) $ 100.00 Total Prototype Cost: $ 739.70 Prototype Unit Cost = $209.90 Mass Production Unit Cost = $146.25 -- $120.22

Applications Semi Autonomous Fire Fighting System Semi Autonomous Radiation and/or Gas leak detection system Remote mapping of any Scalar Field

Product Limitations Open Loop Control Velocity of the vehicles is not monitored, trouble with variable terrain No distance measurement between the vehicles, chance of formation degradation Once disturbed, the initial formation cannot be reformed Unable to Avoid Obstacle Lack of obstacle avoidance algorithm Greatly increase complexity to avoid obstacles and keep formation

Conclusion and Improvements Conclusions Coarsely Stable System is Delicate Sensitive to Terrain

Conclusion and Improvements Improvements Closed Loop System for Velocity and Distance Active search to relocate and reform in group formation Add other sensors to increase application use Multiple formation selections

Acknowledgements Mechatronics Lab: For lending extra Boe - Bots for use Groups that helped with tools and materials Group 3: Vito Guardi & Joseph Ferrari Providing extra Basic Stamps 2 Graphics: Parallax Incorporated (http:// http://www.parallax.com/)

Questions?