EE-561-Spring2020

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Revision as of 05:40, 19 February 2020

EE-561: Digital Control Systems
Spring 2020


Instructors

Talha Manzoor, Assistant Professor, Center for Water Informatics & Technology (WIT)

Email: talha.manzoor@lums.edu.pk

Office: 9-252, 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: 2019-20

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/EE-561-Spring2020

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 sampled-data systems and the tools employed to study them. These include the language of difference equations, the z-transform, discretization methods for continuous-time systems, dynamic response of discrete-time 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 discrete-time domain using both transform based and state space techniques.


Learning Outcomes

  • Represent and describe discrete-time systems using difference equations and z-transforms
  • Analyze discrete-time and sampled-data systems in order to deduce system behavior
  • Implement controllers designed using continuous-time techniques for application to discrete-time systems
  • Apply and evaluate different techniques for controller design directly in the digital domain


Pre-requisites

  • EE-361. 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, Wellesley-Cambridge 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: 12:30pm-1:45pm. 10-202. 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, sampled-data, 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 z-transform: Definition of the transform, transform of elementary signals, the transfer function, interpretation of z as a time-delay 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, Jury'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 s-plane to z-plane, damping ratio and natural frequency lines in the z-plane

Kashmir Day Holiday

Franklin Ch 2.5


Week 4 Feb 10 Lecture 6 Sampling related issues: placement of sampling and hold circuits in the digital control system, the phenomenon of aliasing (frequency folding), compensating for aliasing with a band-pass filter, practical anti-aliasing filters, taking into account the approximate dynamics of the filter

Lecture 7 The hold operation: Modelling the sample and hold device in a sampled-data system; C.T transfer function of the zero-order-hold; The D.T representation of a plant coupled with zero-order hold; the spectrum of the sample and hold; Aprroximating the sample and hold with a pure time delay

Franklin Ch 3, Astrom Ch 7.4

Franklin Ch 2.4.1, Ch 3


Week 5 Feb 17 Lecture 8 Realization of Digital Controllers: Devising customized circuitry using adders, multipliers and delay elements; Realization through direct programming; Realization through standard canonical programming; Introduction of the state variables; Control canonical and Observer canonical realizations; State-space description of the canonical forms

Lecture 9

Franklin Ch 2.3.3
Week 6 Feb 24 Lecture 10

Lecture 11

Week 7 Mar 02 Project Proposal Presentations

Lecture 12

Week 8 Mar 09

Mid-term Exam

Lecture 13

Week 9 Mar 16 Mid-semester Break.
Week 10 Mar 23 Lecture 14

Lecture 15

Week 11 Mar 30 Lecture 16

Lecture 17

Week 12 Apr 06 Lecture 18

Lecture 19


Week 13 Apr 13

Lecture 20

Lecture 21

Week 14 Apr 20

Final Project Presentations

Lecture 22

Week 15 Apr 27

Lecture 23

Course Review


Week 16 May 04

Prep-week

Week 17 May 11 Final-exam 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 real-life 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
    • Discrete-time/sampled-data 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 Variable-Speed Low Inductance BLDC Motor Drive Paper

Robotics

  • Robust digital control for autonomous skid-steered agricultural robots Paper.
  • Discrete-time 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 tracking-error model-based predictive control for mobile robots Paper

Networked Control

  • Variable Selective Control Method for Networked Control Systems Paper
  • Consensus Problems for Discrete-time Agents with Communication Delay Paper
  • On Kalman-Consensus Filtering With Random Link Failures Over Sensor Networks Paper
  • Robust Discrete-Time Markovian Control for Wheeled Mobile Robot Formation Paper

Environment and Agriculture

  • Optimal irrigation management for large-scale arable farming using model predictive control Paper
  • Adaptive Sampling for Energy Conservation in Wireless Sensor Networks for Snow Monitoring Applications Paper Hassam Arshad 19060045
  • Distributed Model Predictive Control of Irrigation Systems using Cooperative Controllers Paper
  • Ecological monitoring in a discrete-time prey–predator model Paper

Miscellaneous

  • Data-Driven 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: Micro-Chaos in Digitally Controlled Systems Paper
  • Chatter Stability in Robotic Milling Paper
  • Chattering-free discrete-time sliding mode control Paper
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