21. Control Systems. Easy: Incremental Linear: P PI PID Intuitive: Fuzzy Logic. It says to cook your food until burned food!

Size: px
Start display at page:

Download "21. Control Systems. Easy: Incremental Linear: P PI PID Intuitive: Fuzzy Logic. It says to cook your food until burned food!"

Transcription

1 21. Cotrol Systems Easy: Icremetal Liear: P PI PID Ituitive: Fuzzy Logic Dad, I hate It says to cook your food util bured food! the ceter is o loger red. Not eough colors of black to describe your cookig. But, ot my strawberry strudel! Doh! J V w 21.1

2 Vo Deutschlad Moaco Espaa 21.2

3 Circuit of the Americas 21.3

4 Accuracy Performace measures Magitude of the Error = Desired Actual Stability No oscillatios Overshoot uderdamped, overdamped) Rigig, slow Respose Time to ew steady state after Chage i desired setpoit Chage i load 21.4

5 Motor speed What to cotrol? Error = Desired speed Actual speed Error = Desired period Actual period Desired + Error U X* Cotroller - X e=x*-x Measured Speed State estimator Sesor Period Measuremet Tachometer Actuator V PWM circuit Actual Speed + - R Plat DC Motor L emf Disturbig forces 21.5

6 Distace to oe wall What to cotrol? Error = Desired distace Actual distace Equal distaces to both walls Error = Left distace Right distace wall d L robot wall d R wall Sesors - Time costat -> f s - Filters Aalog, digital - Sigal/oise ratio - Calibratio accuracy, drift 21.6

7 What to cotrol? Agle to most ope track Error = Desired Actual agle d 1 wall Tur so most ope i frot Avoid makig U-turs d 2 d 3 wall robot wall 21.7

8 Agle to wall What to cotrol? speed is determied by distace,d, to object i frot headig A L C is a fixed agle a L b L C L d robot Track the left wall if a R +b R )>a L +b L ) Wat to make A L = 90 If A L =90, the b L /a L = cos C L x L =100*cosC L is a calibratio costat C a R R a,b are measured distaces from ceter of robot to the wall b R A R Track the right wall if a R +b R )<a L +b L ) Wat to make A R = 90 If A R =90, the b R /a R = cos C R x R =100*cosC R is a calibratio costat error = 100*b R )/a R - x R if error > 0, A R < 90, tur left if error < 0, A R > 90, tur right if mia R,b R )<20, move left-right wall error = 100*b L )/a L - x L if error > 0, A L < 90, tur right if error < 0, A L > 90, tur left if mia L,b L )<20, move right-left 21.8

9 Icremetal Cotroller Periodic iterrupt Faster tha motor Slower tha sesor samplig rate Measured=StateEstimator Error = Desired-Measured Too fast <0 >2 U 2 U=U-1 Error =0 >0 Too slow <249 U =249 U=U

10 Icremetal Cotroller log Xstar; // desired log X; // actual, measured iput log U; // PWM actuator output void Timer0A_Hadlervoid){ log E; E = Xstar-X; // error ife < 0) U--; // too fast else ife > 1) U++; // too slow // close eough ifu < 2) U=2; // Costrai output ifu > 249) U=249; PWM0_DutyU); // output TIMER0_ICR_R = TIMER_ICR_CAECINT; } 21.10

11 Laplace Domai X* G s) H s) + X s) X') - K p m 1 s E) Es) K d s State estimator Period Measuremet K s i X s) X * s) PID Cotroller Actuator U) K PWM p + K i s +K d s Us) circuit Sesor Tachometer Xt) Xs) 1 G s) H G s) H Plat m 1+s s) s) 21.11

12 U t) Geeral Approach to PID K p E t) t K i E ) d 0 de t) Proportioal U p = K p E Itegral U i = U i + K i Et Derivative U d = K d E)-E-1))/t PID U = U p + U i + U d Ru te times faster tha motor Ru slower or equal to sesor samplig rate K d dt 21.12

13 Derivative Term x) with oise x) Time Calculated with oise x) without oise t E E K D dt t de K t D d d 1) ) ) ) ) t E E t E E K D d 2) 1) ) ) 2 1 ) t E E E E K D d 6 3) 2) 3 1) 3 ) ) Aalog filter Digital filter Liear regressio

14 PI Cotroller void Timer0A_Hadlervoid){ E = Xstar-X; P = 105*E)/20; // Kp = 105/20 I = I+101*E)/640; // Kit = 101/640 ifi < -500) I=-500; // ati-reset widup ifi > 4000) I=4000; U = P+I; // PI cotroller ifu < 100) U=100; // Costrai output ifu>19900) U=19900; PWM0_DutyU); // output TIMER0_ICR_R = TIMER_ICR_CAECINT; } 21.14

15 Motor Parameters Ivoke a step, measure respose Time lag, time costat, Plot speed i RPM versus duty cycle Sesitivity m SpeedRPM) Real Theory H s) m 1 s

16 Cotroller tuig Start with just a proportioal term Kp). - proportioal cotroller will geerate a smooth motor speed - choose the sig of the term Kp so the system is stable. - try differet Kp costats util the respose times are fast eough The ext step is to add some itegral term Ki) - a little at a time - to improve the steady state cotroller accuracy - without adversely affectig the respose time. - choose the sig of the term Ki so the system is stable. - Do t chage both Kp ad Ki at oce. The last step is the derivative term Kd) - a little at a time - reduce the overshoots/udershoots i the step respose - choose the sig of the term Kd so the overshoots/udershoots are reduced. Highly oliear -> empirical approach 21.16

17 Chargig battery Drai battery 10 25W resistor or motor) Charge tha 8 hours Sayo 8.4V- 3.8 AH NiMH positive temperature egative red white black gd thumb wheel switch red black +8.4V Test battery across load Measure voltage Measure curret 3.8 Amp-hour red RC battery coector CON-210P RC battery coector CON-210S red striped black plug socket black solid 12V 250mA wall-wart 21.17

18 Uder Battery Power Curret path battery-motor-battery Groud soldered male-male Oe +5V board Sayo 8.4V- 3.8 AH NiMH positive temperature egative red white black gd red RC battery coector CON-210P Floatig groud defied by battery thumb wheel switch black plug red black header +8.4V gd protoboard +8.4 gd +5 gd L Cotrol +5 GND+5V ARM board DC motor DC motor Servo +5V ito ARM board Pig))) IR s Tach s ARM board NOT coected to PC 21.18

19 While debuggig with PC Prevet motor curret from goig to board Two +5V, ot coected soldered male-male Groud board L293 Sayo 8.4V- 3.8 AH NiMH positive temperature egative red white black gd red RC battery coector CON-210P thumb wheel switch black plug red black header +8.4V gd protoboard +8.4 gd Cotrol +5 gd ARM board DC motor DC motor Servo Earth groud defied by PC Pig))) IR s Tach s gd ARM board IS coected to PC PC 21.19

20 Regulator Drop out, V d Calculate power loss, P=8.4-5)*I V i 0.33F 7805 I Out +5V Gd 0.1F V d = 2.5V V i > 7.5V I out <1A 4.7 F 4.7 F 21.20

Mechatronics. Time Response & Frequency Response 2 nd -Order Dynamic System 2-Pole, Low-Pass, Active Filter

Mechatronics. Time Response & Frequency Response 2 nd -Order Dynamic System 2-Pole, Low-Pass, Active Filter Time Respose & Frequecy Respose d -Order Dyamic System -Pole, Low-Pass, Active Filter R 4 R 7 C 5 e i R 1 C R 3 - + R 6 - + e out Assigmet: Perform a Complete Dyamic System Ivestigatio of the Two-Pole,

More information

Answer: 1(A); 2(C); 3(A); 4(D); 5(B); 6(A); 7(C); 8(C); 9(A); 10(A); 11(A); 12(C); 13(C)

Answer: 1(A); 2(C); 3(A); 4(D); 5(B); 6(A); 7(C); 8(C); 9(A); 10(A); 11(A); 12(C); 13(C) Aswer: (A); (C); 3(A); 4(D); 5(B); 6(A); 7(C); 8(C); 9(A); 0(A); (A); (C); 3(C). A two loop positio cotrol system is show below R(s) Y(s) + + s(s +) - - s The gai of the Tacho-geerator iflueces maily the

More information

CDS 101: Lecture 8.2 Tools for PID & Loop Shaping

CDS 101: Lecture 8.2 Tools for PID & Loop Shaping CDS : Lecture 8. Tools for PID & Loop Shapig Richard M. Murray 7 November 4 Goals: Show how to use loop shapig to achieve a performace specificatio Itroduce ew tools for loop shapig desig: Ziegler-Nichols,

More information

MCT242: Electronic Instrumentation Lecture 2: Instrumentation Definitions

MCT242: Electronic Instrumentation Lecture 2: Instrumentation Definitions Faculty of Egieerig MCT242: Electroic Istrumetatio Lecture 2: Istrumetatio Defiitios Overview Measuremet Error Accuracy Precisio ad Mea Resolutio Mea Variace ad Stadard deviatio Fiesse Sesitivity Rage

More information

UNIVERSITY OF BOLTON SCHOOL OF ENGINEERING BENG (HONS) IN MECHANICAL ENGINEERING SEMESTER 1 EXAMINATION 2016/2017

UNIVERSITY OF BOLTON SCHOOL OF ENGINEERING BENG (HONS) IN MECHANICAL ENGINEERING SEMESTER 1 EXAMINATION 2016/2017 UNIVERSITY OF BOLTON TW30 SCHOOL OF ENGINEERING BENG (HONS) IN MECHANICAL ENGINEERING SEMESTER EXAMINATION 06/07 ADVANCED THERMOFLUIDS & CONTROL SYSTEMS MODULE NO: AME6005 Date: Thursday Jauary 07 Time:

More information

ECEN620: Network Theory Broadband Circuit Design Fall 2014

ECEN620: Network Theory Broadband Circuit Design Fall 2014 ECE60: etwork Theory Broadbad Circuit Deig Fall 04 Lecture 3: PLL Aalyi Sam Palermo Aalog & Mixed-Sigal Ceter Texa A&M Uiverity Ageda & Readig PLL Overview & Applicatio PLL Liear Model Phae & Frequecy

More information

Magnetic Length Sensor MLS (Hybrid)

Magnetic Length Sensor MLS (Hybrid) Small Hybride Large Hybride AMR gradiet sesor Liear displacemet, movemets, velocities High precisio Various pole pitches available DESCRIPTION Slidig the MLS-Sesors alog a magetic scale will produce a

More information

EE Control Systems

EE Control Systems Copyright FL Lewis 7 All rights reserved Updated: Moday, November 1, 7 EE 4314 - Cotrol Systems Bode Plot Performace Specificatios The Bode Plot was developed by Hedrik Wade Bode i 1938 while he worked

More information

FIR Filter Design: Part I

FIR Filter Design: Part I EEL3: Discrete-Time Sigals ad Systems FIR Filter Desig: Part I. Itroductio FIR Filter Desig: Part I I this set o otes, we cotiue our exploratio o the requecy respose o FIR ilters. First, we cosider some

More information

KMXP MR Position Sensor

KMXP MR Position Sensor KMXP MR Positio Sesor AMR liear positio sesor 2x6 DFN package, very compact Small wall thickess for large air gaps High operatig temperature of 50 C O the edge solderig possible DESCRIPTION Movig a KMXP

More information

SPEC/4/PHYSI/SPM/ENG/TZ0/XX PHYSICS PAPER 1 SPECIMEN PAPER. 45 minutes INSTRUCTIONS TO CANDIDATES

SPEC/4/PHYSI/SPM/ENG/TZ0/XX PHYSICS PAPER 1 SPECIMEN PAPER. 45 minutes INSTRUCTIONS TO CANDIDATES SPEC/4/PHYSI/SPM/ENG/TZ0/XX PHYSICS STANDARD LEVEL PAPER 1 SPECIMEN PAPER 45 miutes INSTRUCTIONS TO CANDIDATES Do ot ope this examiatio paper util istructed to do so. Aswer all the questios. For each questio,

More information

Signal Processing in Mechatronics

Signal Processing in Mechatronics Sigal Processig i Mechatroics Zhu K.P. AIS, UM. Lecture, Brief itroductio to Sigals ad Systems, Review of Liear Algebra ad Sigal Processig Related Mathematics . Brief Itroductio to Sigals What is sigal

More information

Dotting The Dot Map, Revisited. A. Jon Kimerling Dept. of Geosciences Oregon State University

Dotting The Dot Map, Revisited. A. Jon Kimerling Dept. of Geosciences Oregon State University Dottig The Dot Map, Revisited A. Jo Kimerlig Dept. of Geoscieces Orego State Uiversity Dot maps show the geographic distributio of features i a area by placig dots represetig a certai quatity of features

More information

Time-Domain Representations of LTI Systems

Time-Domain Representations of LTI Systems 2.1 Itroductio Objectives: 1. Impulse resposes of LTI systems 2. Liear costat-coefficiets differetial or differece equatios of LTI systems 3. Bloc diagram represetatios of LTI systems 4. State-variable

More information

Chapter 2 Feedback Control Theory Continued

Chapter 2 Feedback Control Theory Continued Chapter Feedback Cotrol Theor Cotiued. Itroductio I the previous chapter, the respose characteristic of simple first ad secod order trasfer fuctios were studied. It was show that first order trasfer fuctio,

More information

EE 505. Lecture 29. ADC Design. Oversampled

EE 505. Lecture 29. ADC Design. Oversampled EE 505 Lecture 29 ADC Desig Oversampled Review from Last Lecture SAR ADC V IN Sample Hold C LK V REF DAC DAC Cotroller DAC Cotroller stores estimates of iput i Successive Approximatio Register (SAR) At

More information

Frequency Response of FIR Filters

Frequency Response of FIR Filters EEL335: Discrete-Time Sigals ad Systems. Itroductio I this set of otes, we itroduce the idea of the frequecy respose of LTI systems, ad focus specifically o the frequecy respose of FIR filters.. Steady-state

More information

Solved Problems. Electric Circuits & Components. 1-1 Write the KVL equation for the circuit shown.

Solved Problems. Electric Circuits & Components. 1-1 Write the KVL equation for the circuit shown. Solved Problems Electric Circuits & Components 1-1 Write the KVL equation for the circuit shown. 1-2 Write the KCL equation for the principal node shown. 1-2A In the DC circuit given in Fig. 1, find (i)

More information

ELEC1200: A System View of Communications: from Signals to Packets Lecture 3

ELEC1200: A System View of Communications: from Signals to Packets Lecture 3 ELEC2: A System View of Commuicatios: from Sigals to Packets Lecture 3 Commuicatio chaels Discrete time Chael Modelig the chael Liear Time Ivariat Systems Step Respose Respose to sigle bit Respose to geeral

More information

KMXP Linear Position Sensor

KMXP Linear Position Sensor Liear Positio Sesor SPECIFICATIONS AMR liear positio sesor DFN x6 package, very compact Small wall thickess for large air gaps High operatig temperature of 50 C O the edge solderig possible Movig a KMXP

More information

1the 1it is said to be overdamped. When 1, the roots of

1the 1it is said to be overdamped. When 1, the roots of Homework 3 AERE573 Fall 08 Due 0/8(M) ame PROBLEM (40pts) Cosider a D order uderdamped system trasfer fuctio H( s) s ratio 0 The deomiator is the system characteristic polyomial P( s) s s (a)(5pts) Use

More information

Analysis of the No-Load Characteristic of the Moving Coil Linear Compressor

Analysis of the No-Load Characteristic of the Moving Coil Linear Compressor Purdue Uiversity Purdue e-pubs Iteratioal Compressor Egieerig Coferece School of Mechaical Egieerig 008 Aalysis of the No-Load Characteristic of the Movig Coil Liear Compressor Yigbai Xie North Chia Electric

More information

EE 505. Lecture 28. ADC Design SAR

EE 505. Lecture 28. ADC Design SAR EE 505 Lecture 28 ADC Desig SAR Review from Last Lecture Elimiatio of Iput S/H C LK X IN S/H Stage 1 r 1 Stage 2 r 2 Stage k r k Stage m r m 1 2 k m Pipelied Assembler (Shift Register

More information

Difference Equation Construction (1) ENGG 1203 Tutorial. Difference Equation Construction (2) Grow, baby, grow (1)

Difference Equation Construction (1) ENGG 1203 Tutorial. Difference Equation Construction (2) Grow, baby, grow (1) ENGG 03 Tutorial Differece Equatio Costructio () Systems ad Cotrol April Learig Objectives Differece Equatios Z-trasform Poles Ack.: MIT OCW 6.0, 6.003 Newto s law of coolig states that: The chage i a

More information

Laboratory Exercise 1 DC servo

Laboratory Exercise 1 DC servo Laboratory Exercise DC servo Per-Olof Källén ø 0,8 POWER SAT. OVL.RESET POS.RESET Moment Reference ø 0,5 ø 0,5 ø 0,5 ø 0,65 ø 0,65 Int ø 0,8 ø 0,8 Σ k Js + d ø 0,8 s ø 0 8 Off Off ø 0,8 Ext. Int. + x0,

More information

ECE 422/522 Power System Operations & Planning/Power Systems Analysis II : 6 - Small Signal Stability

ECE 422/522 Power System Operations & Planning/Power Systems Analysis II : 6 - Small Signal Stability ECE 4/5 Power System Operatios & Plaig/Power Systems Aalysis II : 6 - Small Sigal Stability Sprig 014 Istructor: Kai Su 1 Refereces Kudur s Chapter 1 Saadat s Chapter 11.4 EPRI Tutorial s Chapter 8 Power

More information

Basic Concepts of Electricity. n Force on positive charge is in direction of electric field, negative is opposite

Basic Concepts of Electricity. n Force on positive charge is in direction of electric field, negative is opposite Basic Cocepts of Electricity oltage E Curret I Ohm s Law Resistace R E = I R 1 Electric Fields A electric field applies a force to a charge Force o positive charge is i directio of electric field, egative

More information

Jitter Transfer Functions For The Reference Clock Jitter In A Serial Link: Theory And Applications

Jitter Transfer Functions For The Reference Clock Jitter In A Serial Link: Theory And Applications Jitter Trasfer Fuctios For The Referece Clock Jitter I A Serial Lik: Theory Ad Applicatios Mike Li, Wavecrest Ady Martwick, Itel Gerry Talbot, AMD Ja Wilstrup, Teradye Purposes Uderstad various jitter

More information

6.003 Homework #12 Solutions

6.003 Homework #12 Solutions 6.003 Homework # Solutios Problems. Which are rue? For each of the D sigals x [] through x 4 [] below), determie whether the coditios listed i the followig table are satisfied, ad aswer for true or F for

More information

Appendix: The Laplace Transform

Appendix: The Laplace Transform Appedix: The Laplace Trasform The Laplace trasform is a powerful method that ca be used to solve differetial equatio, ad other mathematical problems. Its stregth lies i the fact that it allows the trasformatio

More information

VL 18-3/4 Photoelectric reflex switch, polarising filter, red light -- DC. M18x1 M18x1 27.6

VL 18-3/4 Photoelectric reflex switch, polarising filter, red light -- DC. M18x1 M18x1 27.6 L -/ Photoelectric reflex switch, polarisig filter, red light -- DC Scaig rage 0.0....7 m Photoelectric reflex switch With polarizig filter, which esures reliable detectio of objects with shiy surfaces

More information

Introduction to Signals and Systems, Part V: Lecture Summary

Introduction to Signals and Systems, Part V: Lecture Summary EEL33: Discrete-Time Sigals ad Systems Itroductio to Sigals ad Systems, Part V: Lecture Summary Itroductio to Sigals ad Systems, Part V: Lecture Summary So far we have oly looked at examples of o-recursive

More information

Bipolar Junction Transistors

Bipolar Junction Transistors ipolar Juctio Trasistors ipolar juctio trasistor (JT) was iveted i 948 at ell Telephoe Laboratories Sice 97, the high desity ad low power advatage of the MOS techology steadily eroded the JT s early domiace.

More information

8 sin 3 V. For the circuit given, determine the voltage v for all time t. Assume that no energy is stored in the circuit before t = 0.

8 sin 3 V. For the circuit given, determine the voltage v for all time t. Assume that no energy is stored in the circuit before t = 0. For the circuit given, determine the voltage v for all time t. Assume that no energy is stored in the circuit before t = 0. Spring 2015, Exam #5, Problem #1 4t Answer: e tut 8 sin 3 V 1 For the circuit

More information

Theorem: Let A n n. In this case that A does reduce to I, we search for A 1 as the solution matrix X to the matrix equation A X = I i.e.

Theorem: Let A n n. In this case that A does reduce to I, we search for A 1 as the solution matrix X to the matrix equation A X = I i.e. Theorem: Let A be a square matrix The A has a iverse matrix if ad oly if its reduced row echelo form is the idetity I this case the algorithm illustrated o the previous page will always yield the iverse

More information

6.003 Homework #12 Solutions

6.003 Homework #12 Solutions 6.003 Homework # Solutios Problems. Which are rue? For each of the D sigals x [] through x 4 [] (below), determie whether the coditios listed i the followig table are satisfied, ad aswer for true or F

More information

Notes for Lecture 5. 1 Grover Search. 1.1 The Setting. 1.2 Motivation. Lecture 5 (September 26, 2018)

Notes for Lecture 5. 1 Grover Search. 1.1 The Setting. 1.2 Motivation. Lecture 5 (September 26, 2018) COS 597A: Quatum Cryptography Lecture 5 (September 6, 08) Lecturer: Mark Zhadry Priceto Uiversity Scribe: Fermi Ma Notes for Lecture 5 Today we ll move o from the slightly cotrived applicatios of quatum

More information

ENGG 1203 Tutorial. Op Amps 10 Oct Learning Objectives. News. Ack.: MIT OCW Analyze circuits with ideal operational amplifiers

ENGG 1203 Tutorial. Op Amps 10 Oct Learning Objectives. News. Ack.: MIT OCW Analyze circuits with ideal operational amplifiers ENGG 1203 Tutorial Op Amps 10 Oct Learning Objectives Analyze circuits with ideal operational amplifiers News Mid term Revision tutorial Ack.: MIT OCW 6.01 1 Q1 This circuit is controlled by the charge

More information

Discrete-Time Systems, LTI Systems, and Discrete-Time Convolution

Discrete-Time Systems, LTI Systems, and Discrete-Time Convolution EEL5: Discrete-Time Sigals ad Systems. Itroductio I this set of otes, we begi our mathematical treatmet of discrete-time s. As show i Figure, a discrete-time operates or trasforms some iput sequece x [

More information

Math 2784 (or 2794W) University of Connecticut

Math 2784 (or 2794W) University of Connecticut ORDERS OF GROWTH PAT SMITH Math 2784 (or 2794W) Uiversity of Coecticut Date: Mar. 2, 22. ORDERS OF GROWTH. Itroductio Gaiig a ituitive feel for the relative growth of fuctios is importat if you really

More information

Formation of A Supergain Array and Its Application in Radar

Formation of A Supergain Array and Its Application in Radar Formatio of A Supergai Array ad ts Applicatio i Radar Tra Cao Quye, Do Trug Kie ad Bach Gia Duog. Research Ceter for Electroic ad Telecommuicatios, College of Techology (Coltech, Vietam atioal Uiversity,

More information

Sinusoidal Steady-state Analysis

Sinusoidal Steady-state Analysis Siusoidal Steady-state Aalysis Complex umber reviews Phasors ad ordiary differetial equatios Complete respose ad siusoidal steady-state respose Cocepts of impedace ad admittace Siusoidal steady-state aalysis

More information

OPTIMAL ALGORITHMS -- SUPPLEMENTAL NOTES

OPTIMAL ALGORITHMS -- SUPPLEMENTAL NOTES OPTIMAL ALGORITHMS -- SUPPLEMENTAL NOTES Peter M. Maurer Why Hashig is θ(). As i biary search, hashig assumes that keys are stored i a array which is idexed by a iteger. However, hashig attempts to bypass

More information

ME451 Laboratory. Time Response Modeling and Experimental Validation of a Second Order Plant: Mass-Spring Damper System

ME451 Laboratory. Time Response Modeling and Experimental Validation of a Second Order Plant: Mass-Spring Damper System ME 451: Cotrol Systems Laboratory Departmet of Mecaical Egieerig Miciga State Uiversity East Lasig, MI 4884-16 ME451 Laboratory Time Respose Modelig ad Experimetal Validatio of a Secod Order Plat: Mass-Sprig

More information

Lecture 1: Channel Equalization 1 Advanced Digital Communications (EQ2410) 1. Overview. Ming Xiao CommTh/EES/KTH

Lecture 1: Channel Equalization 1 Advanced Digital Communications (EQ2410) 1. Overview. Ming Xiao CommTh/EES/KTH : 1 Advaced Digital Commuicatios (EQ2410) 1 Tuesday, Ja. 20, 2015 8:15-10:00, D42 1 Textbook: U. Madhow, Fudametals of Digital Commuicatios, 2008 1 / 1 Overview 2 / 1 Chael Model Itersymbol iterferece

More information

Lecture 9: Diffusion, Electrostatics review, and Capacitors. Context

Lecture 9: Diffusion, Electrostatics review, and Capacitors. Context EECS 5 Sprig 4, Lecture 9 Lecture 9: Diffusio, Electrostatics review, ad Capacitors EECS 5 Sprig 4, Lecture 9 Cotext I the last lecture, we looked at the carriers i a eutral semicoductor, ad drift currets

More information

ELEG3503 Introduction to Digital Signal Processing

ELEG3503 Introduction to Digital Signal Processing ELEG3503 Itroductio to Digital Sigal Processig 1 Itroductio 2 Basics of Sigals ad Systems 3 Fourier aalysis 4 Samplig 5 Liear time-ivariat (LTI) systems 6 z-trasform 7 System Aalysis 8 System Realizatio

More information

The Growth of Functions. Theoretical Supplement

The Growth of Functions. Theoretical Supplement The Growth of Fuctios Theoretical Supplemet The Triagle Iequality The triagle iequality is a algebraic tool that is ofte useful i maipulatig absolute values of fuctios. The triagle iequality says that

More information

Lecture 6: Control Problems and Solutions. CS 344R: Robotics Benjamin Kuipers

Lecture 6: Control Problems and Solutions. CS 344R: Robotics Benjamin Kuipers Lecture 6: Control Problems and Solutions CS 344R: Robotics Benjamin Kuipers But First, Assignment 1: Followers A follower is a control law where the robot moves forward while keeping some error term small.

More information

University of California at Berkeley College of Engineering Department of Electrical Engineering and Computer Sciences

University of California at Berkeley College of Engineering Department of Electrical Engineering and Computer Sciences A Uiversity of Califoria at Berkeley College of Egieerig Departmet of Electrical Egieerig ad Computer Scieces U N I V E R S T H E I T Y O F LE T TH E R E B E LI G H T C A L I F O R N 8 6 8 I A EECS : Sigals

More information

ECONOMIC OPERATION OF POWER SYSTEMS

ECONOMIC OPERATION OF POWER SYSTEMS ECOOMC OEATO OF OWE SYSTEMS TOUCTO Oe of the earliest applicatios of o-lie cetralized cotrol was to provide a cetral facility, to operate ecoomically, several geeratig plats supplyig the loads of the system.

More information

Chapter 4 : Laplace Transform

Chapter 4 : Laplace Transform 4. Itroductio Laplace trasform is a alterative to solve the differetial equatio by the complex frequecy domai ( s = σ + jω), istead of the usual time domai. The DE ca be easily trasformed ito a algebraic

More information

Voltage controlled oscillator (VCO)

Voltage controlled oscillator (VCO) Voltage cotrolled oscillator (VO) Oscillatio frequecy jl Z L(V) jl[ L(V)] [L L (V)] L L (V) T VO gai / Logf Log 4 L (V) f f 4 L(V) Logf / L(V) f 4 L (V) f (V) 3 Lf 3 VO gai / (V) j V / V Bi (V) / V Bi

More information

Machine Learning Assignment-1

Machine Learning Assignment-1 Uiversity of Utah, School Of Computig Machie Learig Assigmet-1 Chadramouli, Shridhara sdhara@cs.utah.edu 00873255) Sigla, Sumedha sumedha.sigla@utah.edu 00877456) September 10, 2013 1 Liear Regressio a)

More information

Kinetics of Complex Reactions

Kinetics of Complex Reactions Kietics of Complex Reactios by Flick Colema Departmet of Chemistry Wellesley College Wellesley MA 28 wcolema@wellesley.edu Copyright Flick Colema 996. All rights reserved. You are welcome to use this documet

More information

MASSACHUSETTS INSTITUTE OF TECHNOLOGY Department of Electrical Engineering and Computer Science. BACKGROUND EXAM September 30, 2004.

MASSACHUSETTS INSTITUTE OF TECHNOLOGY Department of Electrical Engineering and Computer Science. BACKGROUND EXAM September 30, 2004. MASSACHUSETTS INSTITUTE OF TECHNOLOGY Departmet of Electrical Egieerig ad Computer Sciece 6.34 Discrete Time Sigal Processig Fall 24 BACKGROUND EXAM September 3, 24. Full Name: Note: This exam is closed

More information

2 f(x) dx = 1, 0. 2f(x 1) dx d) 1 4t t6 t. t 2 dt i)

2 f(x) dx = 1, 0. 2f(x 1) dx d) 1 4t t6 t. t 2 dt i) Math PracTest Be sure to review Lab (ad all labs) There are lots of good questios o it a) State the Mea Value Theorem ad draw a graph that illustrates b) Name a importat theorem where the Mea Value Theorem

More information

ECE Circuit Theory. Final Examination. December 5, 2008

ECE Circuit Theory. Final Examination. December 5, 2008 ECE 212 H1F Pg 1 of 12 ECE 212 - Circuit Theory Final Examination December 5, 2008 1. Policy: closed book, calculators allowed. Show all work. 2. Work in the provided space. 3. The exam has 3 problems

More information

Ch3 Discrete Time Fourier Transform

Ch3 Discrete Time Fourier Transform Ch3 Discrete Time Fourier Trasform 3. Show that the DTFT of [] is give by ( k). e k 3. Determie the DTFT of the two sided sigal y [ ],. 3.3 Determie the DTFT of the causal sequece x[ ] A cos( 0 ) [ ],

More information

9.3 Power Series: Taylor & Maclaurin Series

9.3 Power Series: Taylor & Maclaurin Series 9.3 Power Series: Taylor & Maclauri Series If is a variable, the a ifiite series of the form 0 is called a power series (cetered at 0 ). a a a a a 0 1 0 is a power series cetered at a c a a c a c a c 0

More information

Video 5.1 Vijay Kumar and Ani Hsieh

Video 5.1 Vijay Kumar and Ani Hsieh Video 5.1 Vijay Kumar and Ani Hsieh Robo3x-1.1 1 The Purpose of Control Input/Stimulus/ Disturbance System or Plant Output/ Response Understand the Black Box Evaluate the Performance Change the Behavior

More information

Application Note #3413

Application Note #3413 Application Note #3413 Manual Tuning Methods Tuning the controller seems to be a difficult task to some users; however, after getting familiar with the theories and tricks behind it, one might find the

More information

IP Reference guide for integer programming formulations.

IP Reference guide for integer programming formulations. IP Referece guide for iteger programmig formulatios. by James B. Orli for 15.053 ad 15.058 This documet is iteded as a compact (or relatively compact) guide to the formulatio of iteger programs. For more

More information

- Critical parts are tested (PS) - The remaining parts are simulated (NS).

- Critical parts are tested (PS) - The remaining parts are simulated (NS). Hybrid simulatio of a structural system Loads (Disp.) simulatig deck motio due to earthquake K V T B CBdV Deck modeled aalytically by F.E.M. Piers tested physically - Critical parts are tested (PS) - The

More information

DESCRIPTION OF THE SYSTEM

DESCRIPTION OF THE SYSTEM Sychroous-Serial Iterface for absolute Ecoders SSI 1060 BE 10 / 01 DESCRIPTION OF THE SYSTEM TWK-ELEKTRONIK GmbH D-001 Düsseldorf PB 1006 Heirichstr. Tel +9/11/6067 Fax +9/11/6770 e-mail: ifo@twk.de Page

More information

EE C245 - ME C218 Introduction to MEMS Design Fall Today s Lecture

EE C245 - ME C218 Introduction to MEMS Design Fall Today s Lecture EE C45 ME C8 Itroductio to MEMS Desig Fall 003 Roger Howe ad Thara Sriiasa Lecture 3 Capacitie Positio Sesig: Electroic ad Mechaical Noise EE C45 ME C8 Fall 003 Lecture 3 Today s Lecture Basic CMOS buffer

More information

Introduction to Control Systems

Introduction to Control Systems Itroductio to Cotrol Sytem CLASSIFICATION OF MATHEMATICAL MODELS Icreaig Eae of Aalyi Static Icreaig Realim Dyamic Determiitic Stochatic Lumped Parameter Ditributed Parameter Liear Noliear Cotat Coefficiet

More information

The Scattering Matrix

The Scattering Matrix 2/23/7 The Scatterig Matrix 723 1/13 The Scatterig Matrix At low frequecies, we ca completely characterize a liear device or etwork usig a impedace matrix, which relates the currets ad voltages at each

More information

EDEXCEL NATIONAL CERTIFICATE UNIT 4 MATHEMATICS FOR TECHNICIANS OUTCOME 4 - CALCULUS

EDEXCEL NATIONAL CERTIFICATE UNIT 4 MATHEMATICS FOR TECHNICIANS OUTCOME 4 - CALCULUS EDEXCEL NATIONAL CERTIFICATE UNIT 4 MATHEMATICS FOR TECHNICIANS OUTCOME 4 - CALCULUS TUTORIAL 1 - DIFFERENTIATION Use the elemetary rules of calculus arithmetic to solve problems that ivolve differetiatio

More information

University of California at Berkeley College of Engineering Department of Electrical Engineering and Computer Sciences

University of California at Berkeley College of Engineering Department of Electrical Engineering and Computer Sciences A Uiversity of Califoria at Berkeley College of Egieerig Departmet of Electrical Egieerig ad Computer Scieces U N I V E R S T H E I T Y O F LE T TH E R E B E LI G H T C A L I F O R N 8 6 8 I A EECS : Sigals

More information

ECE1750, Spring Week 11 Power Electronics

ECE1750, Spring Week 11 Power Electronics ECE1750, Spring 2017 Week 11 Power Electronics Control 1 Power Electronic Circuits Control In most power electronic applications we need to control some variable, such as the put voltage of a dc-dc converter,

More information

1. Linearization of a nonlinear system given in the form of a system of ordinary differential equations

1. Linearization of a nonlinear system given in the form of a system of ordinary differential equations . Liearizatio of a oliear system give i the form of a system of ordiary differetial equatios We ow show how to determie a liear model which approximates the behavior of a time-ivariat oliear system i a

More information

CMOS. Dynamic Logic Circuits. Chapter 9. Digital Integrated Circuits Analysis and Design

CMOS. Dynamic Logic Circuits. Chapter 9. Digital Integrated Circuits Analysis and Design MOS Digital Itegrated ircuits Aalysis ad Desig hapter 9 Dyamic Logic ircuits 1 Itroductio Static logic circuit Output correspodig to the iput voltage after a certai time delay Preservig its output level

More information

EE / EEE SAMPLE STUDY MATERIAL. GATE, IES & PSUs Signal System. Electrical Engineering. Postal Correspondence Course

EE / EEE SAMPLE STUDY MATERIAL. GATE, IES & PSUs Signal System. Electrical Engineering. Postal Correspondence Course Sigal-EE Postal Correspodece Course 1 SAMPLE STUDY MATERIAL Electrical Egieerig EE / EEE Postal Correspodece Course GATE, IES & PSUs Sigal System Sigal-EE Postal Correspodece Course CONTENTS 1. SIGNAL

More information

Physics 310 Lecture 9a DAC and ADC

Physics 310 Lecture 9a DAC and ADC Lecture 9a ad Mo. 3/19 Wed. 3/1 Thurs. 3/ Fri. 3/3 Mo. 3/6 Wed. 3/8 Thurs. 3/9 h 14.1,.6-.10; pp 373-374 (Samplig Frequecy); 1.6: & More of the same Lab 9: & More of the same; Quiz h 14 Project: ompoet

More information

Fig. 1-1 Current Flow in a Resistive load

Fig. 1-1 Current Flow in a Resistive load 1 Electric Circuits: Current flow in a resistive load flows either from (-) to () which is labeled below as Electron flow or the Conventional flow from () to (-). We will use conventional flow in this

More information

Summary of pn-junction (Lec )

Summary of pn-junction (Lec ) Lecture #12 OUTLNE Diode aalysis ad applicatios cotiued The MOFET The MOFET as a cotrolled resistor Pich-off ad curret saturatio Chael-legth modulatio Velocity saturatio i a short-chael MOFET Readig Howe

More information

Outline. Linear regression. Regularization functions. Polynomial curve fitting. Stochastic gradient descent for regression. MLE for regression

Outline. Linear regression. Regularization functions. Polynomial curve fitting. Stochastic gradient descent for regression. MLE for regression REGRESSION 1 Outlie Liear regressio Regularizatio fuctios Polyomial curve fittig Stochastic gradiet descet for regressio MLE for regressio Step-wise forward regressio Regressio methods Statistical techiques

More information

Basic Physics of Semiconductors

Basic Physics of Semiconductors Chater 2 Basic Physics of Semicoductors 2.1 Semicoductor materials ad their roerties 2.2 PN-juctio diodes 2.3 Reverse Breakdow 1 Semicoductor Physics Semicoductor devices serve as heart of microelectroics.

More information

CS284A: Representations and Algorithms in Molecular Biology

CS284A: Representations and Algorithms in Molecular Biology CS284A: Represetatios ad Algorithms i Molecular Biology Scribe Notes o Lectures 3 & 4: Motif Discovery via Eumeratio & Motif Represetatio Usig Positio Weight Matrix Joshua Gervi Based o presetatios by

More information

Dynamic Programming. Sequence Of Decisions

Dynamic Programming. Sequence Of Decisions Dyamic Programmig Sequece of decisios. Problem state. Priciple of optimality. Dyamic Programmig Recurrece Equatios. Solutio of recurrece equatios. Sequece Of Decisios As i the greedy method, the solutio

More information

Dynamic Programming. Sequence Of Decisions. 0/1 Knapsack Problem. Sequence Of Decisions

Dynamic Programming. Sequence Of Decisions. 0/1 Knapsack Problem. Sequence Of Decisions Dyamic Programmig Sequece Of Decisios Sequece of decisios. Problem state. Priciple of optimality. Dyamic Programmig Recurrece Equatios. Solutio of recurrece equatios. As i the greedy method, the solutio

More information

EE422G Homework #13 (12 points)

EE422G Homework #13 (12 points) EE422G Homework #1 (12 poits) 1. (5 poits) I this problem, you are asked to explore a importat applicatio of FFT: efficiet computatio of covolutio. The impulse respose of a system is give by h(t) (.9),1,2,,1

More information

Lecture 6 Chi Square Distribution (χ 2 ) and Least Squares Fitting

Lecture 6 Chi Square Distribution (χ 2 ) and Least Squares Fitting Lecture 6 Chi Square Distributio (χ ) ad Least Squares Fittig Chi Square Distributio (χ ) Suppose: We have a set of measuremets {x 1, x, x }. We kow the true value of each x i (x t1, x t, x t ). We would

More information

Dynamic Response of Second Order Mechanical Systems with Viscous Dissipation forces

Dynamic Response of Second Order Mechanical Systems with Viscous Dissipation forces Hadout #b (pp. 4-55) Dyamic Respose o Secod Order Mechaical Systems with Viscous Dissipatio orces M X + DX + K X = F t () Periodic Forced Respose to F (t) = F o si( t) ad F (t) = M u si(t) Frequecy Respose

More information

DC-motor PID control

DC-motor PID control DC-motor PID control This version: November 1, 2017 REGLERTEKNIK Name: P-number: AUTOMATIC LINKÖPING CONTROL Date: Passed: Chapter 1 Introduction The purpose of this lab is to give an introduction to

More information

School of Mechanical Engineering Purdue University. ME375 Frequency Response - 1

School of Mechanical Engineering Purdue University. ME375 Frequency Response - 1 Case Study ME375 Frequecy Respose - Case Study SUPPORT POWER WIRE DROPPERS Electric trai derives power through a patograph, which cotacts the power wire, which is suspeded from a cateary. Durig high-speed

More information

Stopping oscillations of a simple harmonic oscillator using an impulse force

Stopping oscillations of a simple harmonic oscillator using an impulse force It. J. Adv. Appl. Math. ad Mech. 5() (207) 6 (ISSN: 2347-2529) IJAAMM Joural homepage: www.ijaamm.com Iteratioal Joural of Advaces i Applied Mathematics ad Mechaics Stoppig oscillatios of a simple harmoic

More information

Week 1, Lecture 2. Neural Network Basics. Announcements: HW 1 Due on 10/8 Data sets for HW 1 are online Project selection 10/11. Suggested reading :

Week 1, Lecture 2. Neural Network Basics. Announcements: HW 1 Due on 10/8 Data sets for HW 1 are online Project selection 10/11. Suggested reading : ME 537: Learig-Based Cotrol Week 1, Lecture 2 Neural Network Basics Aoucemets: HW 1 Due o 10/8 Data sets for HW 1 are olie Proect selectio 10/11 Suggested readig : NN survey paper (Zhag Chap 1, 2 ad Sectios

More information

The improvement of the volume ratio measurement method in static expansion vacuum system

The improvement of the volume ratio measurement method in static expansion vacuum system Available olie at www.sciecedirect.com Physics Procedia 32 (22 ) 492 497 8 th Iteratioal Vacuum Cogress The improvemet of the volume ratio measuremet method i static expasio vacuum system Yu Hogya*, Wag

More information

Course Outline. Designing Control Systems. Proportional Controller. Amme 3500 : System Dynamics and Control. Root Locus. Dr. Stefan B.

Course Outline. Designing Control Systems. Proportional Controller. Amme 3500 : System Dynamics and Control. Root Locus. Dr. Stefan B. Amme 3500 : System Dyamics ad Cotrol Root Locus Course Outlie Week Date Cotet Assigmet Notes Mar Itroductio 8 Mar Frequecy Domai Modellig 3 5 Mar Trasiet Performace ad the s-plae 4 Mar Block Diagrams Assig

More information

Basic Physics of Semiconductors

Basic Physics of Semiconductors Chater 2 Basic Physics of Semicoductors 2.1 Semicoductor materials ad their roerties 2.2 PN-juctio diodes 2.3 Reverse Breakdow 1 Semicoductor Physics Semicoductor devices serve as heart of microelectroics.

More information

0 t < 0 1 t 1. u(t) =

0 t < 0 1 t 1. u(t) = A. M. Niknejad University of California, Berkeley EE 100 / 42 Lecture 13 p. 22/33 Step Response A unit step function is described by u(t) = ( 0 t < 0 1 t 1 While the waveform has an artificial jump (difficult

More information

SOLUTIONS: ECE 606 Homework Week 7 Mark Lundstrom Purdue University (revised 3/27/13) e E i E T

SOLUTIONS: ECE 606 Homework Week 7 Mark Lundstrom Purdue University (revised 3/27/13) e E i E T SOUIONS: ECE 606 Homework Week 7 Mark udstrom Purdue Uiversity (revised 3/27/13) 1) Cosider a - type semicoductor for which the oly states i the badgap are door levels (i.e. ( E = E D ). Begi with the

More information

Stat 139 Homework 7 Solutions, Fall 2015

Stat 139 Homework 7 Solutions, Fall 2015 Stat 139 Homework 7 Solutios, Fall 2015 Problem 1. I class we leared that the classical simple liear regressio model assumes the followig distributio of resposes: Y i = β 0 + β 1 X i + ɛ i, i = 1,...,,

More information

Lecture 6 Chi Square Distribution (χ 2 ) and Least Squares Fitting

Lecture 6 Chi Square Distribution (χ 2 ) and Least Squares Fitting Lecture 6 Chi Square Distributio (χ ) ad Least Squares Fittig Chi Square Distributio (χ ) Suppose: We have a set of measuremets {x 1, x, x }. We kow the true value of each x i (x t1, x t, x t ). We would

More information

OBJECTIVES. Chapter 1 INTRODUCTION TO INSTRUMENTATION FUNCTION AND ADVANTAGES INTRODUCTION. At the end of this chapter, students should be able to:

OBJECTIVES. Chapter 1 INTRODUCTION TO INSTRUMENTATION FUNCTION AND ADVANTAGES INTRODUCTION. At the end of this chapter, students should be able to: OBJECTIVES Chapter 1 INTRODUCTION TO INSTRUMENTATION At the ed of this chapter, studets should be able to: 1. Explai the static ad dyamic characteristics of a istrumet. 2. Calculate ad aalyze the measuremet

More information

CDS 101: Lecture 5.1 Controllability and State Space Feedback

CDS 101: Lecture 5.1 Controllability and State Space Feedback CDS, Lecture 5. CDS : Lecture 5. Cotrollability ad State Space Feedback Richard M. Murray 8 October Goals: Deie cotrollability o a cotrol system Give tests or cotrollability o liear systems ad apply to

More information

ADVANCED DIGITAL SIGNAL PROCESSING

ADVANCED DIGITAL SIGNAL PROCESSING ADVANCED DIGITAL SIGNAL PROCESSING PROF. S. C. CHAN (email : sccha@eee.hku.hk, Rm. CYC-702) DISCRETE-TIME SIGNALS AND SYSTEMS MULTI-DIMENSIONAL SIGNALS AND SYSTEMS RANDOM PROCESSES AND APPLICATIONS ADAPTIVE

More information

u t u 0 ( 7) Intuitively, the maximum principles can be explained by the following observation. Recall

u t u 0 ( 7) Intuitively, the maximum principles can be explained by the following observation. Recall Oct. Heat Equatio M aximum priciple I thi lecture we will dicu the maximum priciple ad uiquee of olutio for the heat equatio.. Maximum priciple. The heat equatio alo ejoy maximum priciple a the Laplace

More information