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lecure14_07_26_2010

Course: EE 40 40, Summer 2010
School: Berkeley
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14 Josh EE40 Lecture Hug 7/26/2010 EE40 Summer 2010 Hug 1 Logisticals Midterm Wednesday Study guide online Study room on Monday Cory 531, 2:00 Cooper, Tony, and I will be there 3:00-5:10 Study room on Tuesday Cory 521, 2:30 and on Completed homeworks that have not been picked up have been moved into the lab cabinet If you have custom Project 2 parts, Ive emailed you with details about how to pick...

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14 Josh EE40 Lecture Hug 7/26/2010 EE40 Summer 2010 Hug 1 Logisticals Midterm Wednesday Study guide online Study room on Monday Cory 531, 2:00 Cooper, Tony, and I will be there 3:00-5:10 Study room on Tuesday Cory 521, 2:30 and on Completed homeworks that have not been picked up have been moved into the lab cabinet If you have custom Project 2 parts, Ive emailed you with details about how to pick them up EE40 Summer 2010 Hug 2 Lab Lab will be open on Tuesday if you want to work on Project 2 or the Booster Lab or something else Not required to start Project 2 tomorrow No lab on Wednesday (wont be open) EE40 Summer 2010 Hug 3 Power in AC Circuits One last thing to discuss for Unit 2 is power in AC circuits Lets start by considering the power dissipated in a resistor: 10(50) + - 5 10 = () = 10 cos 50 cos 50) ( 5 = 20 cos2 50 EE40 Summer 2010 Hug 4 Or graphically 10(50) + - 5 10 = () = 10 cos 50 cos 50) ( 5 = 20 cos 2 50 EE40 Summer 2010 Hug 5 Average Power 10(50) EE40 Summer 2010 + - 5 Peak Power: 20W Min Power: 0W Avg Power: 10W Hug 6 Capacitor example Find p(t) 10(50) + - 1 = 103 500 sin 50 0.5 sin 50 = 5 sin 50 cos 50) ( EE40 Summer 2010 = Hug 7 Graphically 10(50) + - 1 Peak Power: 5/2 Min Power: 5/2 Avg Power: 0W = 5 sin 50 cos 50) ( EE40 Summer 2010 Hug 8 Is there some easier way of calculating power? Like maybe with phasors? + - 10(50) 1 = 0.5 cos 50 + 2 = 5cos 50) cos 50 + ) ( ( 2 Phasors are: = 100 = 0.5 2 How about = ? EE40 Summer 2010 Hug 9 Is there some easier way of measuring power? Phasors are: = 5cos 50) cos 50 + ( ( = 100 = 0.5 2 Does = ? = EE40 Summer 2010 5 2 A. B. C. D. ) 2 Yes, matches p(t) No, wrong magnitude No, wrong phase No, wrong frequency Hug 10 It gets worse For the resistor, there is no phasor which represents the power (never goes negative) EE40 Summer 2010 Hug 11 Average Power Tracking the time function of power with some sort of phasor-like quantity is annoying Frequency changes Sometimes have an offset (e.g. with resistor) Often, the thing we care about is the average power, useful for e.g. Battery drain Heat dissipation Useful to define a measure of average other than the handwavy thing we did before Average power given periodic power is: = 0 EE40 Summer 2010 1 T is time for 1 period Hug 12 Power in terms of phasors Weve seen that we cannot use phasors to find an expression for p(t) Average power given periodic power is: = 0 1 T is time for 1 period Well use this definition of average power to derive an expression for average power in terms of phasors EE40 Summer 2010 Hug 13 Average Power = Note: e.g. = 5 cos , = 4 cos Average of each cosine is zero Average of their product is 10 Our goal will be to get the average power from phasors and Well utilize = 1 [ ] 2 * denotes complex conjugate See extra slides for proof of this identity EE40 Summer 2010 Hug 14 Power from Phasors = 1 2 = = = + + = = = = EE40 Summer 2010 + + 1 + + 2 1 [ ] 2 1 [ ] 2 Hug 15 Power from Phasors Thus, given a voltage phasor and a current phasor , the average power absorbed is 1 = 2 EE40 Summer 2010 Hug 16 Capacitor Example 1 = 0.5 cos 50 + 2 = 5cos 50) cos 50 + ) ( ( + - 10(50) 2 Phasors are: = 100 = EE40 Summer 2010 0.5 2 1 = 2 1 = 2 100 0.5 5 2 2 =0 Hug 17 Resistor Example 10(50) = 100 = 20 EE40 Summer 2010 = 1 2 1 = 2 + - 5 Find avg power across resistor 20 = 10 A. 0 Watts B. 10 Watts C. 20 Watts Hug 18 Resistor Example 1 10(50) = 5 20 = 100 + - 5 Find avg power from source = / 1 1 100 1 = = 2 = 2 2 5 + 20 1 1 100 = 1.17 4.7 = 0.58 = 2 20.61551.3258 2 EE40 Summer 2010 Hug 19 Reactive Power So if power dissipated is what is 1 2 ? 1 2 , then Imaginary part is called reactive power Physical intuition is that its power that you put into an element with memory, but which the element eventually gives back EE40 Summer 2010 Hug 20 Capacitor Reactive Power Example 1 = 0.5 cos 50 + 2 = 5cos 50) cos 50 + ) ( ( + - 10(50) 2 Phasors are: = 100 = 0.5 2 = 1 2 = 1 2 EE40 Summer 2010 100 0.5 5 2 = 2 5 2 Hug 21 Graphically 10(50) + - 1 Peak Power: 5/2 Min Power: 5/2 Avg Power: 0W Avg Reactive Power: -5/2W Like a frictionless car with perfect regenerative brakes, starting and stopping again and again and again EE40 Summer 2010 Hug 22 Note on Reactive Power Providing reactive power and consuming reactive power are physically the same thing Usually we say capacitors provide reactive power, which comes from our definition, whereas inductors consume reactive power preactive = 1 2 ? As youll see on HW7, capacitors and inductors can be chosen to get rid of reactive power EE40 Summer 2010 Hug 23 And that rounds out Unit 2 Weve covered all that needs to be covered on capacitors and inductors, so its time to (continue) moving on to the next big thing EE40 Summer 2010 Hug 24 Back to Unit 3 Integrated Circuits Last Friday, we started talking about integrated circuits Analog integrated circuits Behave mostly like our discrete circuits in lab, can reuse old analysis Digital integrated circuits We havent discussed discrete digital circuits, so in order to understand digital ICs, we will first have to do a bunch of new definitions EE40 Summer 2010 Hug 25 Digital Representations of Logical Functions Digital signals offer an easy way to perform logical functions, using Boolean algebra Example: Hot tub controller with the following algorithm Turn on heating element if A: Temperature is less than desired (T < Tset) and B: The motor is on and C: The hot tub key is turned to on OR T: Test heater button is pressed EE40 Summer 2010 Hug 26 Hot Tub Controller Example Example: Hot tub controller with the following algorithm Turn on heating element if A: Temperature is less than desired (T < Tset) and B: The motor is on and C: The hot tub key is turned to on OR T: Test heater button is pressed C 110V EE40 Summer 2010 B T A Heater Hug 27 Hot Tub Controller Example Example: Hot tub controller with the following algorithm A: Temperature is less than desired (T < Tset) B: The motor is on C: The hot tub key is turned to on T: Test heater button is pressed Or more briefly: ON=(A and B and C) or T C 110V EE40 Summer 2010 B T A Heater Hug 28 Boolean Algebra and Truth Tables Well next formalize some useful mathematical expressions for dealing with logical functions These will be useful in understanding the function of digital circuits EE40 Summer 2010 Hug 29 Boolean Logic Functions Example: ON=(A and B and C) or T Boolean logic functions are like algebraic equations Domain of variables is 0 and 1 Operations are AND, OR, and NOT In contrast to our usual algebra on real numbers Domain of variables is the real numbers Operations are addition, multiplication, exponentiation, etc EE40 Summer 2010 Hug 30 Examples In normal algebra, we can have 3+5=8 A+B=C In Boolean algebra, well have 1 and 0=0 A and B=C EE40 Summer 2010 Hug 31 Have you seen boolean algebra before? A. Yes B. No EE40 Summer 2010 Hug 32 Formal Definitions not is a unary operator (takes 1 argument) Returns 1 if its argument is 0, and 0 if its argument is 1, e.g. not 0=1 There exist many shorthand ways of writing the not operation e.g. 0=1 0 = 1 0 = 1 I will use bar notation for consistency with the book. EE40 Summer 2010 Hug 33 Formal Definitions and is a binary operator [takes 2 arguments] which returns 1 if both if its arguments are 1, and 0 otherwise Many ways to write A and B in shorthand: A B Z 0 0 0 As a table, if Z = , then: EE40 Summer 2010 0 1 1 1 0 1 0 0 1 Hug 34 Formal Definitions or is a binary operator [takes 2 arguments] which returns 0 if either of its arguments are 1, and 0 otherwise Common ways to write A and B in shorthand: + A B Z As a table, if Z = + , then: EE40 Summer 2010 0 0 1 1 0 1 0 1 0 1 1 1 Hug 35 Boolean Algebra and Truth Tables Just as in normal algebra, boolean algebra operations can be applied recursively, giving to rise complex ABCZ boolean functions 0000 Z=AB+C 0011 Any boolean function can be represented by one of these tables, called a truth table EE40 Summer 2010 0 0 1 1 1 1 1 1 0 0 1 1 0 1 0 1 0 1 0 1 0 1 1 1 Hug 36 Boolean Algebra Originally developed by George Boole as a way to write logical propositions as equations Now, a very handy tool for specification and simplification of logical systems EE40 Summer 2010 Hug 37 Simplification Example : Shine the bat signal : Crime in progress :Want to meet Batman : Test bat signal = + + Simpler expression: = + + EE40 Summer 2010 C 0 0 0 0 1 1 1 1 B 0 0 1 1 0 0 1 1 T 0 1 0 1 0 1 0 1 Z 0 1 1 1 1 1 1 1 Hug 38 Logic Simplification In CS61C and optionally CS150, you will learn a more thorough systematic way to simplify logic expression All digital arithmetic can be expressed in terms of logical functions Logic simplification is crucial to making such functions efficient You will also learn how to make logical adders, multipliers, and all the other good stuff inside of CPUs EE40 Summer 2010 Hug 39 Quick Arithmetic-as-Logic Example Assuming we have boolean input variables 1 , 2 , 2 , 2 and boolean output variables 1 , 2 Lets say that each variable represent one digit of a binary number, we have 16 possibilities EE40 Summer 2010 Hug 40 Logic Gates Logic gates are the schematic equivalent of our boolean logic functions Example, the AND gate: A B F F = AB AB 00 01 10 11 F 0 0 0 1 If were thinking about real circuits, this is a device where the output voltage is high if and only if both of the input voltages are high EE40 Summer 2010 Hug 41 Logic Functions, Symbols, & Notation NAME NOT OR AND EE40 Summer 2010 SYMBOL A A B A B NOTATION F F F F=A F = A+B F = AB TRUTH TABLE AF 01 10 AB 00 01 10 11 F 0 1 1 1 AB 00 01 10 11 F 0 0 0 1 Hug 42 Multi Input Gates AND and OR gates can also have many inputs, e.g. F A B C F = ABC Can also define new gates which are composites of basic boolean operations, for example NAND: A B C EE40 Summer 2010 F = Hug 43 Logic Gates Can think of logic gates as a technology independent way of representing logical circuits The exact voltages that well get will depend on what types of components we use to implement our gates Useful when designing logical systems Better to think in terms of logical operations instead of circuit elements and all the accompanying messy math EE40 Summer 2010 Hug 44 Hot Tub Controller Example Example: Hot tub controller with the following algorithm A: Temperature is less than desired (T < Tset) B: The motor is on C: The hot tub key is turned to on T: Test heater button is pressed Or more briefly: ON=(A and B and C) or T C 110V EE40 Summer 2010 B T A Heater Hug 45 Hot Tub Controller Example Example: Hot tub controller with the following algorithm A: Temperature is less than desired (T < Tset) B: The motor is on C: The hot tub key is turned to on T: Test heater button is pressed Or more briefly: ON=(A and B and C) or T 110V EE40 Summer 2010 A B C T ON Heater Hug 46 How does this all relate to circuits? A digital circuit is simply any circuit where every voltage in the circuit is one of two values (typically ground) will represent boolean 0 (in modern CPUs, approximately 1V, though you can set this on your computer) will represent boolean 1 In truth, of course, values will vary continuously, but entire design is conceptualized as simply 1s and 0s EE40 Summer 2010 Hug 47 The Static Discipline We can think of the whole circuit as obeying a contract to always provide output voltages and at all outputs as long as the inputs follow these same rules Up to the circuit designer to ensure this specification is met In truth, voltages may be a little lower or higher than these contractual values However, as long as the output values are close enough, the deviations are unimportant EE40 Summer 2010 Hug 48 Many Possible Ways to Realize Logic Gates There are many ways to build logic gates, for example, we can build gates with op1 1 amps 1 -5V 1 A = (, ) 5V -5V 5V Z B Far from optimal 5 resistors Dozens of transistors EE40 Summer 2010 1 Is this a(n): A. AND gate B. OR gate C. NOT gate D. Something else Hug 49 Switches as Gates Example: Hot tub controller ON=(A and B and C) or T Switches are the most natural implementation for logic gates C 110V EE40 Summer 2010 A 110V B C B T T A ON Heater Hug 50 Relays, Tubes, and Transistors as Switches Electromechnical relays are ways to make a controllable switch: Zuses Z3 computer (1941) was entirely electromechnical Later vacuum tubes adopted: Colossus (1943) 1500 tubes ENIAC (1946) 17,468 tubes Then transistors: IBM 608 was first commercially available (1957), 3000 transistors EE40 Summer 2010 Hug 51 Electromechanical Relay Inductor generates a magnetic field that physically pulls a switch down When current stops flowing through inductor, a spring resets the switch to the off position Three + + Terminals: C EE40 Summer 2010 C + : Plus : Minus C : Control Hug 52 Electromechnical Relay Summary Switchiness due to physically manipulation of a metal connector using a magnetic field Very large Moving parts No longer widely used in computational systems as logic gates Occasional use in failsafe systems EE40 Summer 2010 Hug 53 Vacuum Tube Inside the glass, there is a hard vacuum Current cannot flow If you apply a current to the minus terminal (filament), it gets hot This creates a gas of electrons that can travel to the positively charged plate from the hot filament When control port is used, grid becomes charged Acts to increase or decrease ability of current to flow from to + + C (Wikipedia) EE40 Summer 2010 Hug 54 Vacuum Tube Demo EE40 Summer 2010 Hug 55 Vacuum Tube Summary Switchiness is due to a charged cage which can block the flow of free electrons from a central electron emitter and a receiving plate No moving parts Inherently power inefficient due to requirement for hot filament to release electrons No longer used in computational systems Still used in: CRTs Very high power applications Audio amplification (due to nicer saturation behavior relative to transistors) EE40 Summer 2010 Hug 56 Field Effect Transistor + - (Drain) + (Gate) C (Source) ------------- P is (effectively) a high resistance block of material, so current can barely flow from + to The n region is a reservoir of extra electrons (we will discuss the role of the n region later) When C is on, i.e. is relatively positive, then electrons from inside the P region collect at bottom of insulator, forming a channel EE40 Summer 2010 Hug 57 Field Effect Transistor + - (Drain) + (Gate) C (Source) ------------- When the channel is present, then effective resistance of P region dramatically decreases Thus: When C is off, switch is open When C is on, switch is closed EE40 Summer 2010 Hug 58 Field Effect Transistor + - (Drain) + - + (Gate) C (Source) ------ If we apply a positive voltage to the plus side Current begins to flow from + to Channel on the + side is weakened If we applied a different positive voltage to both sides? EE40 Summer 2010 Hug 59 Field Effect Transistor Summary Switchiness is due to a controlling voltage which induces a channel of free electrons Extremely easy to make in unbelievable numbers Ubiquitous in all computational technology everywhere EE40 Summer 2010 Hug 60 MOSFET Model Schematically, we represent the MOSFET as a three terminal device Can represent all the voltages and currents between terminals as shown to the right EE40 Summer 2010 Hug 61 MOSFET Model What do you expect to be? C (Drain) EE40 Summer 2010 + (Gate) (Source) Hug 62 S Model of the MOSFET The simplest model basically says that the MOSFET is: Open for < Closed for > EE40 Summer 2010 Hug 63 Building a NAND gate using MOSFETs Consider the circuit to the right where On the board, well show that = Demonstration also on page 294 of the book EE40 Summer 2010 Hug 64 Thats it for today Next time, well discuss: Building arbitrarily complex logic functions Sequential logic The resistive model of a MOSFET Until then, study EE40 Summer 2010 Hug 65
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Section2Angle(relative)Max=540lm 2rd one is at 59 degreeIntensity(lm)0540154603040345345602727522290212105222120274135316150389165424180448Section 3 1st=0degree2nd =90degree3rd=10 degree max=165lmAngle(relative) Intensity(
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RodrobberplasticrobberplasticglassplasticMeasured DateCalculationMaterialD(cm) m(g) L(m) angle(o) Q(c)NeMicrother0 0.1 0.1930silk1.6 0.1 0.1934.8 1.10E-09 6.88E+09silk0 0.1 0.1930silk1.2 0.1 0.1933.6 7.00E-10 4.38E+09microther0 0.
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Seperation(page)2368101214Seperation,d(m)1.04E-032.08E-033.12E-034.16E-035.20E-036.24E-037.28E-031/d(m-1)9.62E+024.81E+023.21E+022.40E+021.92E+021.60E+021.37E+02Capacitance1.37E-085.10E-092.76E-092.40E-092.34E-091.85E-091.63
Laney College - PHYSICS - 1A+1B
current(ma)Poten diff(V)10.60.00422.50.01637.20.047439.60.26559.20.39695.20.6287127.90.8378170.71.086V vs I1.2Current (ma)Pot Dif (V)Current (ma)4.410.313.119.322.32533.34651102.4117.1122.5132.6140.3153.2162.3
Berkeley - EE 105 - EE105
Lecture 2OUTLINE Semiconductor BasicsReading: Chapter 2EE105 Fall 2011Lecture 2, Slide 1Prof. Salahuddin, UC BerkeleyAnnouncement Office Hours for tomorrow is cancelled(ONLY for this week)There will be office hours on Friday (2P-3P)(ONLY for th
Berkeley - EE 105 - EE105
Lecture 4OUTLINE PN Junction Diodes Electrostatics Capacitance I/V Reverse Breakdown Large and Small signalmodelsReading: Chapter 2.2-2.3,3.2-3.4EE105 Fall 2010Lecture 4, Slide 1Prof. Salahuddin, UC BerkeleyEnergy Band DescriptionEE105 Fall
Berkeley - EE 105 - EE105
Lecture 5OUTLINE PN Junction Diodes I/V Capacitance Reverse Breakdown Large and Small signalmodelsReading: Chapter 2.2-2.3,3.2-3.4EE105 Fall 2011Lecture 5, Slide 1Prof. Salahuddin, UC BerkeleyRecap: Law of the JunctionLaw of the junction:n(a
Berkeley - EE 105 - EE105
EE105Microelectronic Devices andCircuitshttp:/wwwinst.eecs.berkeley.edu/~ee105Prof. Sayeef Salahuddinsayeef@eecs.berkeley.edu515 Sutardja Dai HallTeaching StaffSayeef SalahuddinProfessor@ Berkeley since Fall 2008Courses: EE 230, EE105Office Hou
Berkeley - EE 105 - EE105
EE-105-Fall-2011COURSE SYLLABUS AND TENTATIVE SCHEDULE FALL 2010WeekDayLectureDate1118/25Introduction. Basic Semiconductor Physics: charge carriers, doping,1, 2.12228/302.2339/1carrier drift &amp; diffusion.pn Junction Diodes: electrostat
The Chinese University of Hong Kong - MATHEMATIC - MAT2310
THE DIHEDRAL GROUPS DnSome authors use D2n to denote the n-th dihedral group. An excellent referencefor dihedral groups is the textbook Algebra by Michael Artin, Chapter 5.Let n 3. Let Dn be the set of all symmetries of a regular n-gon. More precisely,
The Chinese University of Hong Kong - MATHEMATIC - MAT2310
The Chinese University of Hong Kong - MATHEMATIC - MAT2310
The Chinese University of Hong Kong - MATHEMATIC - MAT2310
The Chinese University of Hong Kong - MATHEMATIC - MAT2310
The Chinese University of Hong Kong - MATHEMATIC - MAT2310
The Chinese University of Hong Kong - MATHEMATIC - MAT2310
The Chinese University of Hong Kong - MATHEMATIC - MAT2310
The Chinese University of Hong Kong - MATHEMATIC - MAT2310
The Chinese University of Hong Kong - MATHEMATIC - MAT2310