Team 2 Electricivic Ben Dannan Mark Snyder Matt Klutzke Mike Mitchell 1.

Slides:



Advertisements
Similar presentations
Basic Electronics Part 7: Actuators
Advertisements

Transducers PHYS3360/AEP3630 Lecture 33.
Princeton University Prospect Eleven Nov. 17, 2005 Vehicle Interface Already substantial electronic information available from the vehicle itself: Engine.
10/10/2014 Jason Holm ME 486 Encoders and Sensors.
Wind Turbine Simulation (Phase IV) SDMAY Advisor: Dr. Venkataramana Ajjarapu.
MIKE AMBRISCO Solar Charging Systems. Overview Background info.  Why do we need a charging system?  What happens without a charging system?  What does.
Photolithography Machine Control System Ben Conrad and Mark Edwards Projects in Computer Engineering II December 9, 2003.
Hybrid-Electric HMMWV: Platform for Advanced Lead Acid Battery Testing Future Work Dr. Herb Hess Adapt the thermal management system to the advanced lead.
Team GPS Rover Alex Waskiewicz Andrew Bousky Baird McKevitt Dan Regelson Zach Hornback.
Independently controlled rear drivetrain Estimated 12.8 KWh power Twin 30 HP induction motors Three subsystems Battery Management Power Components Controls.
Power and Energy Measurements Chapters: 39 and 42 Juha Kallunki,
© 2002 Microchip Technology Incorporated. All Rights Reserved. 1 Motor Control Solutions Microchip Technology Inc.
Sensors and Actuators John Errington MSc. Sensors and Actuators Sensors produce a signal in response to a change in their surroundings e.g. Thermostat.
Autonomous Control of Scalextric Slot Car on User-Defined Track Siddharth Kamath Souma Mondal Dhaval Patel School of Electrical and Computer Engineering.
ME 102A Spring 2010 May 4, 2010 Jennifer Lew Stephen Tu.
Power Plant Construction and QA/QC Section 7.4 – Hydroelectric Generators, Transformers and Controls Engineering Technology Division.
Vector Control of Induction Machines
A Shaft Sensorless Control for PMSM Using Direct Neural Network Adaptive Observer Authors: Guo Qingding Luo Ruifu Wang Limei IEEE IECON 22 nd International.
Sensors are mostly electronic devices used to monitor or capture something.
Team 2 electricivic Ben Dannan Mark Snyder Matt Klutzke Mike Mitchell 1.
2007 R.E.V. Racing Electric Vehicle Senior Design Project.
University of Tehran 1 Microprocessor System Design IO Applications Omid Fatemi
Team 15. PSSCs An ability to measure chlorine concentration, water temperature, and pH with an accuracy of ±5% An ability to dispense measured amounts.
Gauge Laser Pointer # Filed in December 2006 and Published in June 2008 Peter (Wonyoung) Kim OPT 310.
Team 03 Department of Electrical and Computer Engineering 6 March 2015 Digital Fitness Trainer CDR.
Project Umpqua Electric Vehicle Drive System Team Abdullah Binsaeed Dustin Buscho Steven Arlint Advisor Dr. Albright Industry Representative Mr. Menig.
Lecture 9: Modeling Electromechanical Systems 1.Finish purely electrical systems Modeling in the Laplace domain Loading of cascaded elements 2.Modeling.
Electric motors KON-C2004 Mechatronics Basics Tapio Lantela, Nov 2nd, 2015.
ME 102A Spring 2010 April 21, 2010 Jennifer Lew Stephen Tu.
CS-EE 481 Spring February 2006 University of Portland School of Engineering Project Umpqua Electric Vehicle Drive System Team Abdullah Binsaeed Dustin.
Three Phase Motors Maths
ELECTRIC DRIVES INTRODUCTION TO ELECTRIC DRIVES. Electrical Drives Drives are systems employed for motion control Require prime movers Drives that employ.
Test Programme for AC coaches
Mark Randall & Kevin Claycomb Faculty Advisor: David Mitchell Industrial Sponsor: IEEE.
ECE 477 Design Review Team 5  Spring 2010 Fred Grandlienard Andrew Gregor Kevin Mohr Ryan DeFord.
Interfacing to External Devices  Explore Digital Interfaces techniques  Introduce some complex optical devices and how to interface them  Describe methods.
CS-EE 481 Spring January 2006 University of Portland School of Engineering Project Umpqua Electric Vehicle Drive System Team Abdullah Binsaeed Dustin.
Team 2 Electricivic Ben Dannan Mark Snyder Matt Klutzke Mike Mitchell 1.
Team 2 Electricivic Ben Dannan Mark Snyder Matt Klutzke Mike Mitchell 1.
Wind Turbine Energy Conversion System Design and Integration
CS-EE 480 Fall November, 2005 University of Portland School of Engineering Project Umpqua Electric Vehicle Drive System Team Abdullah Binsaeed Dustin.
Team 2 electricivic Ben Dannan Mark Snyder Matt Klutzke Mike Mitchell 1.
3 phase Induction motor speed control by v/f method Prepared by:- Dobariya Nilesh Bhuva jaydeep Upadhyay pranav.
ECE 445 Track Vehicle Project Team 25: Kuangxiao Gu Jialun Liu Jilin Jiang.
BLDC Motor Speed Control with RPM Display. Introduction BLDC Motor Speed Control with RPM Display  The main objective of this.
1. 2 Meghanathi Gaurang k ( ) Pandey Prashant D ( ) Mishra sandip R ( )
Feedback Controlled Brushless DC Motor Background Lecture.
Understanding Motor and Controller Efficiency in Low Voltage AC Vehicles.
Rotor Pole Temperature Sensor Network
MULTIPHASE BRUSHLESS DC MOTOR
The EV3 Electronics Circuit
ELEC 6491 Controlled Electric Drives
Motor Control Solutions
Control in Drive Systems
CLOSED-LOOP MOTOR SPEED SENSOR & CONTROLLER
Hybrid Transaxle.
Electrical Circuits.
Patent Liability Analysis
Servo Motor Drive Velocity Tracking
PCM (Pulse Code Modulation)
Motor Control Solutions
Inverters Converting dc to ac
The EV3 Electronics Circuit
AP Physics L14_motionalEmf Transforming energy with magnetism
Ben Dannan Mark Snyder Matt Klutzke Mike Mitchell
Inverters Converting dc to ac
Electrical Machines (EELE 3351)
Motor Control Solutions
Summary of Material on Electric Drives Covered on July 24, 2019
Dynamical Operation, Vector Control, DTC and Encoder-less Operation
Presentation transcript:

team 2 Electricivic Ben Dannan Mark Snyder Matt Klutzke Mike Mitchell 1

Design overview 2  Electric Drive System for mid-size passenger vehicles 100kW (aprox. 130 hp) FPGA based all digital control Goal is to be more compact than standard industry drives due to reduced complexity of circuit UI with screen for real time status display (rpm, temp, torque, battery voltage, etc)

Success Criteria 3  PSSC’s: Ability to control current through an inductive load Ability to sample and digitally filter analog waveforms Ability to track rotor position and speed using an optical encoder Ability to display sensor feedback on UI Ability to detect system temperature for thermal fail-safes