mie404 - lecture 1 - introduction.pdf
TRANSCRIPT
Instructor
Amy BiltonAssistant Professor Director – Water and Energy Research Lab
Previous:Controls Engineer at Pratt & Whitney and Honeywell Aerospace
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Instructor – Research Background
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Binary Mirror Systems Water Systems for Remote Communities
Sensing and Control for Space Robotics
Sensing for Ocean Observations
Robotic Mobility Aids for Elderly
Sustainable SystemsFor Aquaculture
Instructor – Office Hours
• Available for questions• Immediately following lecture• During scheduled office hours
• Wednesday 5-6pm – MC311
• Please feel free to ask!
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Instructor – Classroom Policy
• At the University of Toronto, we are teaching you both technical and professional engineering skills.
• Being attentive and timely are part of those skills.• Talking and entering late are distracting for other
students.• My Policy
• Class starts promptly at 10 minutes after the hour.• Latecomers - enter quietly and quickly find seat.
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Introductions
TA Team
Tutorial TA Edem Dovlo – [email protected]
Lab TA Amro Ibrahim – [email protected]
Lab TA Chi-Hang Kwan – [email protected]
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Course Content
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System Modeling
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Dynamics and Stability
System Control
Control System Examples• Fully Mechanical Systems – Flyball Governor
9/10/2015 8MIE404 – Fall 2015
[1]
Learning Objectives• By the end of this class you will be able to:
• Develop dynamic models for basic linear systems.
• Understand the concepts of system stability and dynamic response.
• Able to apply tools such as root locus, Bode diagrams, and Nyquist diagrams to analyze system stability and design control laws.
• Synthesize control laws to achieve desired stability and dynamic response criteria.
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How to achieve these learning objectives ?
Control Systems – Course Components
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Tutorials
Readings
TestsClass Project
Labs1 - 5
Lectures
ControlSystems
Labs
- Start the week of Sept 21.- 5 labs conducted throughout the semester.- Signup online to specify preference of weeks.http://goo.gl/forms/0PouxNLsiv
- Attendance is required!- Reports to be handed in via turnitin.com by Sunday
following lab activity.
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Lectures
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Tuesdays 3-4 pm – MC102Thursdays 3-5pm – MC102
Lecture notes will posted before each lecture.Outline is present, examples will be filled in during lecture.
Lecture schedule in syllabus.
Part 1:System ModelingPart 2:System Dynamics and StabilityPart 3:Control Design Using Root Locus and Frequency-
Response TechniquesPart 4:State Space Representation
Tutorials
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Section 1 - Tuesday 1-3pm HA403 Section 2 - Friday 2-4pm HA403
Attend the assigned tutorial session due to space limitations.
Sample problems will be overviewed by teaching assistant and additional instruction will be provided in required areas.
Readings
GF Franklin, JD Powell, A Emami-Naeini. Feedback Control of Dynamic Systems, 7th edition- Available at the bookstore.- Reference for lectures.- Sample problems in
tutorials.
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Tests• Mid-term and final exam will be open lecture notes
and textbook. No other material will be allowed.
• Tentative Midterm Date: Thursday, Oct 29• Time – 90 minutes
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Project• Conducted in teams of 2-3 students.
• Will involve modeling, analysis, and control design for a dynamic system.
• Project description to be handed out at mid-point of the semester.
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Grading
Labs 10%Mid-Term Test 25% Project 15% Final Exam 50%
Total 100%
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MIE404: Control Systems
Lecture 1 – Part IIIntroduction to Control Systems
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Parts of a Control System• Example Control System – Parabolic Dish Solar
Collector
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Parts of a Control System• Example Control System – Sun Tracking Heliostat
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Types of Controllers
• Regulators• Controlled output is held as close as possible to a
constant desired value
• Servo-mechanisms • Controlled output is made to track a varying input as
closely as possible
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First Look at Feedback• Vehicle Speed Control – Open Loop
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10
0.5
Road Grade w
Output Speed y
Control Input u
+
-
K
Plant
Controller
Referencer
First Look at Feedback• Vehicle Speed Control – Closed Loop
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10
0.5
Road Grade - w
Output Speed y
Control Input u
+
-
K
Plant
ControllerReferencer +
-
Objectives of Control Engineers
• Selection and arrangement of control system components to achieve a desired performance.
• Starts with a development of simple models of the system.
• Analysis of the system properties.
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References
[1] http://kids.britannica.com/comptons/art-167033/The-flyball-governor-is-an-early-automatic-control-system-for[2] http://www.ubergizmo.com/2015/04/china-based-company-ninebot-acquires-segway/[3] https://illumin.usc.edu/162/the-quadrotors-coming-of-age/[4] NREL, “Estimating the Performance and Economic Value of Multiple Concentrating Solar Power Technologies in a Production Cost Model”, 2013. Available: http://www.nrel.gov/docs/fy14osti/58645.pdf[5] R. Ben Mrad, “MIE404 Notes – Fall 2014”, 2014.
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