Syllabus for ME 370
System Dynamics and Control
Spring 2017
Course description
This course is an introduction to the mathematical modeling and control of systems of electrical, mechanical, fluid, thermal, and interdomain (e.g. electromechanical) elements. A system dynamical approach is used, which allows different energy domains to be modeled within a unified framework. Analysis includes the timedomain and frequencydomain. Control systems topics include stability, steadystate errors, and rootlocus design. (Adapted from the course catalog.)
General information
 Office Hours
 MWF 9:20–11 CH 103C
 Location
 Cebula 201B
 Times
 MWF 11:00–11:50 am
 Website
 ME 370 Website
 Moodle
 ME 370 Moodle
secrets
Textbooks
Derek Rowell and David N. Wormley. System Dynamics: An Introduction. Prentice Hall, 1997.
Norman S. Nise. Control Systems Engineering. Seventh Edition. Wiley, 2015.
Notes
Partial notes will be posted here.
Schedule
The following schedule is tentative.
week  topics introduced  reading  assignment due 

general solution of state equations  SD Ch 10  
applied solutions of state equations  SD Ch 10  homework  
transfer functions  SD Ch 12  homework  
fluid and thermal elements  SD Chs 4 & 6  homework  
impedancebased modeling  SD Ch 13  homework  
sinusoidal frequency response  SD Ch 14  homework 

sinusoidal frequency response  SD Ch 14  homework  
frequency domain methods  SD Ch 15  homework Midterm Exam 

frequency domain methods  SD Ch 15  homework  
introduction to control systems  CS Ch 1  homework  
control system stability  CS Ch 6  project focus  
transient response and steadystate errors  CS Ch 7  homework  
rootlocus techniques  CS Ch 8  homework  
rootlocus design  CS Ch 9  homework  
rootlocus design  CS Ch 9  homework  
finals week  Final Exam 
Assignments
Assignment #1
 Do the assigned reading.
 RW Problems 10.1, 10.5, and 10.6.
 Take the weekly homework quiz.
Assignment #2
 Do the assigned reading.
 RW Problems 10.11, 10.12, 10.14, and 10.19. Some of these problems require a computer program to solve. I recommend Matlab or Mathematica, both of which are available in the computer lab.
 Take the weekly homework quiz.
Assignment #3
 Do the assigned reading.
 RW Problems 12.1, 12.3, 12.5, 12.7, 12.15, and 12.23.
 Take the weekly homework quiz.
Assignment #4
 Do the assigned reading.
 RW Problems 4.11, 4.12, 4.13, 4.14, 5.16, 5.17, and 5.19.
 Take the weekly homework quiz.
Assignment #5
 Do the assigned reading.
 RW Problems 13.3, 13.5, 13.9, 13.10, and 13.18.
 Take the weekly homework quiz.
Assignment #6
 Do the assigned reading.
 RW Problems 14.1, 14.3, 14.4, 14.6, and 14.8 (sketch by hand and check in MATLAB).
 Suggested RW Problems 14.12 and 14.21.
 Suggested problem to help you connect polezero plots to Bode plots: RW Problem 14.9.
 Take the weekly homework quiz.
Assignment #7
 Do the assigned reading.
 RW Problems 15.2, 15.3, 15.8, 15.10, and 15.11.
 Take the weekly homework quiz.
Assignment #8
 Do the assigned reading.
 RW Problems 15.12, 15.13, 15.17, and 15.18 (this last one will probably require some reading of the chapter).
 Take the weekly homework quiz.
Assignment #9
 Do the assigned reading.
 Nise Problems 6.1, 6.5, 6.11, 6.17, 6.19, 6.23, and 6.31.
 Take the weekly homework quiz.
Assignment #10
 Do the assigned reading.
 Nise Problems 7.3, 7.5, 7.16, and 7.18, and 7.45 (you'll have to read Section 7.6 for this one).
 Take the weekly homework quiz.
Assignment #11
 Do the assigned reading.
 Nise Problems 8.2, 8.3, 8.5, 8.11, and 8.18.
 Take the weekly homework quiz.
Assignment #12
 Do the assigned reading.
 Nise Problems 9.1, 9.8, 9.19, 9.25, 9.50.
 Take the weekly homework quiz.
Resources
Class resources will be posted here throughout the semester.
Project
There’s going to be a design project. It’s going to be the best project. Everybody’s saying it. It’s going to be huge.
Kefir does the body good. This page contains the details.
Video lectures
Most lectures will be available online on my YouTube channel. I recommend subscribing and familiarizing yourself with the playlist for this course.
Slack
Everyone is required to join the messaging service called “Slack.” We’ll use it to communicate with each other during the semester. The Slack team you need to join is called me3702017s. That was a signup link, right there.
Homework, quiz, & exam policies
Homework & homework quiz policies
Weekly homework will be “due” on Wednesdays, but it will not be turned in for credit. However — and this is very important — each week a quiz will be given that will cover that week’s homework.
Quizzes will be available on moodle each week (as early as I can get them up), and must be completed by Sunday (before midnight). Late quizzes will receive no credit. Multiple attempts may be made on the quizzes (you will receive your mean grade).
Working in groups on homework is strongly encouraged, but quizzes must be completed individually.
Exam policies
The midterm and final exams will be inclass. If you require any specific accommodations, please contact me.
Calculators will be allowed. Only ones own notes and the notes provided by the instructor will be allowed. No communicationdevices will be allowed.
No exam may be taken early. Makeup exams require a doctor’s note excusing the absence during the exam.
The final exam will be cumulative.
Grading policies
Total grades in the course may be curved, but individual homework quizzes and exams will not be. They will be available on moodle throughout the semester.
 Homework quizzes
 15%
 Project
 15%
 Midterm Exam
 30%
 Final Exam
 40%
Academic integrity policy
Cheating or plagiarism of any kind is not tolerated and will result in a failing grade (“F”) in the course. I take this very seriously. Engineering is an academic and professional discipline that requires integrity. I expect students to consider their integrity of conduct to be their highest consideration with regard to the course material.
Correlation of course & program outcomes
In keeping with the standards of the Department of Mechanical Engineering, each course is evaluated in terms of its desired outcomes and how these support the desired program outcomes. The following sections document the evaluation of this course.
Desired course outcomes
Upon completion of the course, the following course outcomes are desired: students will have a clear and thorough understanding of concepts, principles, and methods of modeling rotationalmechanical, translationalmechanical, electrical, fluid, and thermal systems;
 students will have a clear and thorough understanding of concepts, principles, and methods of modeling the interfaces rotationalmechanical, translationalmechanical, electrical, fluid, and thermal systems;
 students will be able to solve equations of state analytically and numerically;
 students will be able to derive and apply transfer functions;
 students will be able to analyze systems with sinusoidal frequency response methods;
 students will be able to analyze systems with frequency domain methods;
 students will understand basic control system theory;
 students will understand control system stability;
 students will understand steadystate errors; and
 students will be able to use rootlocus techniques and design.
Desired program outcomes
The desired program outcomes are that mechanical engineering graduates have: an ability to apply knowledge of mathematics, science, and engineering;
 an ability to design and conduct experiments, as well as to analyze and interpret data;
 an ability to design a system, component, or process to meet desired needs;
 an ability to function on multidisciplinary teams;
 an ability to identify, formulate, and solve engineering problems;
 an understanding of professional and ethical responsibility;
 an ability to communicate effectively;
 the broad education necessary to understanding the impact of engineering solutions in a global and social context;
 a recognition of the need for, and an ability to engage in lifelong learning;
 a knowledge of contemporary issues; and
 an ability to use the techniques, skills, and modern engineering tools necessary for engineering practice
Correlation of outcomes
The following table correlates the desired course outcomes with the desired program outcomes they support.desired program outcomes  

A  B  C  D  E  F  G  H  I  J  K  
desired course outcomes  1  ✔  ✔  ✔  ✔  ✔      ✔  ✔ 
✔  ✔  ✔  ✔  ✔      ✔  ✔  
✔  ✔  ✔  ✔  ✔      ✔  ✔  
✔  ✔  ✔  ✔  ✔      ✔  ✔  
✔  ✔  ✔  ✔  ✔      ✔  ✔  
✔  ✔  ✔  ✔  ✔      ✔  ✔  
✔  ✔  ✔  ✔  ✔      ✔  ✔  
✔  ✔  ✔  ✔  ✔      ✔  ✔  
✔  ✔  ✔  ✔  ✔      ✔  ✔  
✔  ✔  ✔  ✔  ✔      ✔  ✔ 