EE561Spring2020
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 align ="left" '''Lecture 3''' The ztransform: Definition of the transform, transform of elementary signals, the transfer function, interpretation of z as a timedelay operator, block diagram of trapezoid integration, Relation between transfer function and pulse response, convolution   align ="left" '''Lecture 3''' The ztransform: Definition of the transform, transform of elementary signals, the transfer function, interpretation of z as a timedelay operator, block diagram of trapezoid integration, Relation between transfer function and pulse response, convolution  
  '''Lecture 4''' Pole location and system response: Poles and zeros, Stability (internal and external),  +  '''Lecture 4''' Pole location and system response: Poles and zeros, Stability (internal and external), Infering stability from the impulse response, Jurt's stability test, transform of the general sinusoid, relation of pole locations with the time response (radius and angle). 
 align ="left"    align ="left"  
Revision as of 06:05, 31 January 2020
EE561: Digital Control Systems  

Spring 2020 
Instructors
Talha Manzoor, Assistant Professor, Center for Water Informatics & Technology (WIT)
Email: talha.manzoor@lums.edu.pk
Office: 9252, Tesla Wing, 2nd Floor, SSE Bldg
TA: Muhammad Mateen Shahid, MS Electrical Engineering
Email: 18060020@lums.edu.pk
Office: Control Systems Lab, Tesla Wing, 2nd Floor, SSE Bldg
Course Details
Year: 201920
Semester: Spring
Category: Graduate
Credits: 3
Elective course for electrical engineering majors. Core course for electrical engineering students pursuing an MS in the "Systems and Controls" stream.
Course Website: http://cyphynets.lums.edu.pk/index.php/EE561Spring2020
Course Description
This course involves the design and analysis of control to be implemented by digital computers for systems that operate on continuous signals. The first part of the course focuses on the analysis of sampleddata systems and the tools employed to study them. These include the language of difference equations, the ztransform, discretization methods for continuoustime systems, dynamic response of discretetime systems and the effects of sampling and quantization. The second part of the course covers the design of feedback control in discrete time domain which includes emulation of controllers designed in continuous time domain and direct design in discretetime domain using both transform based and state space techniques.
Learning Outcomes
 Represent and describe discretetime systems using difference equations and ztransforms
 Analyze discretetime and sampleddata systems in order to deduce system behavior
 Implement controllers designed using continuoustime techniques for application to discretetime systems
 Apply and evaluate different techniques for controller design directly in the digital domain
Prerequisites
 EE361. Feedback Control Systems (for undergrads)
 A working knowledge of ordinary differential equations and linear algebra will be assumed while delivering the lectures.
 Experience in programming with MATLAB will be required to solve some components of the assignments.
Text book
The course will be taught from the following textbook.
(Franklin) Digital control of dynamic systems by Franklin, Powell and Workman (3rd edition), Addison Wesley, 2000.
Other references
(Strang) Computational Science and Engineering, WellesleyCambridge Press, 2007
(FranklinF) Feedback Control of Dynamics Systems, Pearson Prentice Hall, 2013
(Astrom) Computer Controlled Systems, Prentice Hall, 1997
(Ogata) Modern control engineering, Pearson Prentice Hall, 2010
Grading Scheme
Homeworks+Quiz : 20%
Course project: 25%
Midterm: 25%
Final : 30%
General Guidelines
 Quizzes will be announced. There will be no makeup quiz.
 Homework will be due at the beginning of the class on the due date. Late homework will not be accepted.
 You are allowed to collaborate on homework. However, copying solutions is absolutely not permitted. Offenders will be reported for disciplinary action as per university rules.
 Any appeals on grading of homeworks, quiz or midterm scores must be resolved within one week of the return of graded material.
 Attendance in lectures is strongly recommended but not mandatory. However, you are responsible for catching the announcements made in the class.
Course Delivery Method
Lectures. Mon, Wed: 12:30pm1:45pm. 10202. SSE Bldg
Schedule
WEEK  TOPICS  REFERENCES 

Week 1 Jan 20  Lecture 1 Motivation: The control design problem, structure of a digital control system, the need for a dedicated theory of digital control, Categories of systems: discrete, sampleddata, digital; Overview of course contents
Lecture 2 Difference Equations: Difference equation of a resistive ladder (notes), numerically solving difference equations, Method of undetermined coefficients, From ODE’s to difference equations (approximating an integral), The computer solution to an ODE  Astrom Ch 1, Franklin Ch 1, Ch 2.2 
Week 2 Jan 27  Lecture 3 The ztransform: Definition of the transform, transform of elementary signals, the transfer function, interpretation of z as a timedelay operator, block diagram of trapezoid integration, Relation between transfer function and pulse response, convolution
Lecture 4 Pole location and system response: Poles and zeros, Stability (internal and external), Infering stability from the impulse response, Jurt's stability test, transform of the general sinusoid, relation of pole locations with the time response (radius and angle). 
Franklin Ch 2.3, Ch 2.5

Week 3 Feb 03  Lecture 5 Pole location and system response ctd: The discrete sinusoid as a discrete version of a continuous signal, the implied mapping of poles from splane to zplane, damping ratio and natural frequency lines in the zplane
Lecture 6 
Franklin Ch 2.5 
Week 4 Feb 10  Lecture 7
Lecture 8 

Week 5 Feb 17  Lecture 9
Lecture 10  
Week 6 Feb 24  Lecture 11
Lecture 12  
Week 7 Mar 02  Project Proposal Presentations
Lecture 13  
Week 8 Mar 09 
Midterm Exam Lecture 14  
Week 9 Mar 16  Midsemester Break.  
Week 10 Mar 23  Lecture 15
Lecture 16  
Week 11 Mar 30  Lecture 17
Lecture 18  
Week 12 Apr 06  Lecture 19
Lecture 20 

Week 13 Apr 13 
Lecture 21 Lecture 22  
Week 14 Apr 20 
Final Project Presentations Lecture 23  
Week 15 Apr 27 
Lecture 24 Course Review
 
Week 16 May 04 
Prepweek  
Week 17 May 11  Finalexam Week 
Project Policy
 Evaluation based on 2 presentations and a report.
 Project title and scope to be proposed by the students and approved by the instructor.
 Project must be motivated by a reallife problem.
 Project must consist of at least the following steps
 Problem background and formulation of the control/estimation problem
 Specifications of the system response for control/estimation design, properly contextualized in the domain of application
 Sensing mechanisms, actuators and sampling related issues
 Discretetime/sampleddata model
 Controller/Estimator Design
 Evaluation of the designed controller/estimator w.r.t. the response specifications
 A commentary on the limitations and tradeoffs of the designed control/estimation scheme
Project Ideas
Power and Energy
 Multisampled Digital Average Current Controls of the Versatile Buck–Boost Converter Paper.
 Design and Implementation of Digital Control in a Fuel Cell System Paper.
 Digital Control of Resonant Converters: Resolution Effects on Limit Cycles Paper.
 Simple and Effective Digital Control of a VariableSpeed Low Inductance BLDC Motor Drive Paper
Robotics
 Robust digital control for autonomous skidsteered agricultural robots Paper.
 Discretetime second order sliding mode with time delay control for uncertain robot manipulators Paper
 Receding Horizon Control for Convergent Navigation of a Differential Drive Mobile Robot Paper
 A comparison of continuous and discrete trackingerror modelbased predictive control for mobile robots Paper
Networked Control
 Variable Selective Control Method for Networked Control Systems Paper
 Consensus Problems for Discretetime Agents with Communication Delay Paper
 On KalmanConsensus Filtering With Random Link Failures Over Sensor Networks Paper
 Robust DiscreteTime Markovian Control for Wheeled Mobile Robot Formation Paper
Environment and Agriculture
 Optimal irrigation management for largescale arable farming using model predictive control Paper
 Adaptive Sampling for Energy Conservation in Wireless Sensor Networks for Snow Monitoring Applications Paper.
 Distributed Model Predictive Control of Irrigation Systems using Cooperative Controllers Paper
 Ecological monitoring in a discretetime prey–predator model Paper
Miscellaneous
 DataDriven Digital Direct Position Servo Control by Neural Network With Implicit Optimal Control Law Learned From Discrete Optimal Position Tracking Data Paper
 Structures within the Quantization Noise: MicroChaos in Digitally Controlled Systems Paper
 Chatter Stability in Robotic Milling Paper
 Chatteringfree discretetime sliding mode control Paper