/
EE4262 Digital and Non-Linear Control EE4262 Digital and Non-Linear Control

EE4262 Digital and Non-Linear Control - PowerPoint Presentation

danika-pritchard
danika-pritchard . @danika-pritchard
Follow
401 views
Uploaded On 2017-05-16

EE4262 Digital and Non-Linear Control - PPT Presentation

Professor Shiyan Hu EERC 518 Department of Electrical and Computer Engineering Michigan Technological University 1 Class Time and Office Hour Class Time MW 11051155 Rekhi Hall G009 Office Hours MW 15001600 or by appointment office EERC 518 ID: 548779

system control systems output control system output systems input time process variable controlled controller feedback loop examples open relationship

Share:

Link:

Embed:

Download Presentation from below link

Download Presentation The PPT/PDF document "EE4262 Digital and Non-Linear Control" is the property of its rightful owner. Permission is granted to download and print the materials on this web site for personal, non-commercial use only, and to display it on your personal computer provided you do not modify the materials and that you retain all copyright notices contained in the materials. By downloading content from our website, you accept the terms of this agreement.


Presentation Transcript

Slide1

EE4262 Digital and Non-Linear Control

Professor Shiyan HuEERC 518Department of Electrical and Computer Engineering Michigan Technological University

1Slide2

Class Time and Office HourClass Time: MW 11:05-11:55 (Rekhi Hall G009)Office Hours: MW 15:00-16:00 or by appointment, office: EERC 518TextbookModern Control Engineering, Katsuhiko Ogata.Grading: Homework 25%Labs 25%Exams 50%

2Slide3

Course Websitehttp://www.ece.mtu.edu/faculty/shiyan/EE4262Spring17.htm Contact information of instructorEmail: shiyan@mtu.eduEERC 518Instructor’s webpage: http://www.ece.mtu.edu/faculty/shiyan

3Slide4

Smart Home Control Systems

4Slide5

Smart Building/Community Control Systems

5Slide6

Self Driving Vehicle

6Slide7

SRI Yahama MotoBothttps://www.youtube.com/watch?v=yzDNg8s01-k

7Slide8

SRI Walking Robothttps://www.youtube.com/watch?v=HyqT9Bdamt8

8Slide9

Stanford Research Institute

9Slide10

Electric Vehicles to Grid

10Slide11

11

Modern Control ApplicationsEssentially any product line being built todayTrains and automobilesTelecommunicationManufacturingSmart BuildingsRoboticsSlide12

What is Control System?A system controlling the operation of other systems.A system that can regulate itself and other systems.A control system is a device, or set of devices to manage, command, direct or regulate the behaviour of other devices or systems. 12Slide13

ConceptsControl System – An interconnection of components forming a system configuration that will provide a desired response.Process – The device, plant, or system under control. The input and output relationship represents the cause-and-effect relationship of the process.Process

OutputInput13Slide14

ConceptsControlled Variable: It is the quantity or condition that is measured and Controlled. Normally controlled variable is the output of the control system.Manipulated Variable: It is the quantity of the condition that is varied by the controller so as to affect the value of controlled variable.Control: Control means measuring the value of

controlled variable of the system and applying the manipulated variable to the system to correct or limit the deviation of the measured value from a desired value. 14Slide15

ConceptsDisturbances– A disturbance is a signal that tends to adversely affect the value of the system. It is an unwanted input of the system. If a disturbance is generated within the system, it is called internal disturbance. While an external disturbance is generated outside the system. Controller

OutputOrControlled VariableInputorset pointorreferenceProcessManipulated Variable

15Slide16

Manual vs Automatic Control System Manual Control SystemsRoom Temperature regulation via Electric FanWater Level ControlAutomatic Control SystemHome Water Heating Systems (Geysers)Room Temperature regulation via ACHuman Body Temperature Control16Slide17

Open-Loop Control Systems utilize a controller or control actuator to obtain the desired response. Output has no effect on the control action. In other words output is neither measured nor fed back.Controller

OutputInputProcessExamples: Washing Machine, Toaster, Electric Fan, microwave oven.Open-Loop Control Systems

17Slide18

Open-Loop Control SystemsSince in open loop control systems reference input is not compared with measured output, for each reference input there is fixed operating condition. Therefore, the accuracy of the system depends on calibration.The performance of open loop system is affected by the presence of disturbances, or variation in operating and environmental conditions. 18Slide19

Closed-Loop Control Systems utilizes feedback to compare the actual output to the desired output response.Examples: Refrigerator, Air conditioner Closed-Loop Control SystemsController

OutputInputProcessComparatorMeasurement

19Slide20

Multivariable Control SystemControllerOutputsTemp

ProcessComparatorMeasurements

Humidity

Pressure

20Slide21

Feedback Control SystemA system that maintains a prescribed relationship between the output and some reference input by comparing them and using the difference (i.e. error) as a means of control is called a feedback control system.Feedback can be positive or negative.

ControllerOutputInputProcess

Feedback-

+

error

21Slide22

Servo SystemA Servo System (or servomechanism) is a feedback control system in which the output is some mechanical position, velocity or acceleration (e.g., cruise control).Antenna Positioning SystemModular Servo System (MS150)22Slide23

Linear vs Nonlinear Control SystemA Control System in which output varies linearly with the input is called a linear control system.

y(t)u(t)Process

23Slide24

Linear Vs Nonlinear Control SystemWhen the input and output has nonlinear relationship the system is said to be nonlinear.24Slide25

Time invariant vs Time variantWhen the characteristics of the system do not depend upon time, the system is said to time invariant control system.Time varying control system is a system in which one or more parameters vary with time.

25Slide26

Continuous Data vs Discrete Data SystemIn a continuous data control system, all system variables are function of a continuous time t.A discrete time control system involves one or more variables that are known only at discrete time intervals.

x(t)t

X[n]n

26Slide27

Deterministic vs Stochastic Control SystemA control System is deterministic if the response to input is predictable and repeatable.Otherwise, the control system is a stochastic control system27Slide28

Classification of Control Systems28Slide29

Examples of Control SystemsWater-level float regulator29Slide30

Examples of Control Systems30Slide31

Examples of Modern Control Systems31Slide32

SummaryWhat is a control system?What is controlled variable?What is LTI control system?What is feedback control?What is stochastic control system?

32