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ece 202 purdue

ece 202 purdue

Description

School: Purdue University
Department: Electrical Engineering
Course: Linear Circuit Analysis II
Professor: Raymond decarlo
Term: Spring 2017
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Cost: 25
Name: ECE 202
Description: first lesson of ECE 202
Uploaded: 03/01/2017
17 Pages 189 Views 0 Unlocks
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LECTURE 1 : LAPLACE TRANSFORM BASICS—PART 1 1. Motivation and Solution Strategy (a) Question: What is Laplace Transform  Analysis? Answer 1: an algebraic technique for  computing responses of circuits/differential-equations with and without IC’s for a very large class of  practical input signals (voltage and current source  excitations). Comment: 201 provides responses only for constant  inputs for first and second order circuits along with  some sinusoidal steady state analysis. Now that will  get you a great job at NASA.(b) How is this “response calculation”  accomplished? Input Signal (voltage/current source) Circuit /Model h(t): Impulse Responseece 40100 textbook notes
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What do they tell you in calculus?




(b) How is this “response calculation” accomplished?




(a) Question: What is Laplace Transform Analysis?



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→→Output Signal (voltage/current) ↓ ! ! L[Circuit /Model] H(s): Transfer Function

L[Input Signal] →→ L[Output Signal]2. Basic Signals ⎧⎨⎩ (a) Unit step function: u(t) = 1 t ≥ 0 0 t < 0 Right Shifted Step Left Shifted Step  Flipped Step t ∫ .  (b) Ramp function: r(t) = tu(t) = u(τ )dτ −∞ Flipped and Shifted Ramp (Should be r(T − t) )(c) Delata function: δ (t) is defined as that  t ∫ .  “functional” satisfying u(t) = δ (τ )dτ −∞ INTERPRETATION:  ⎧⎨⎩ δ (t) = ddtu(t) = 0 t ≠ 0 ∞ t = 0 and 0+ ∫ = 1 AREA = δ (τ )dτ 0− ∞ ∫ = f (T ) SIFTING PROPERTY: f (τ )δ (τ − T )dτ −∞ Remark: the delta function has infinite height, zero  width, and a well defined area of 1 unit. ☺3. Decomposition of Graphical Signals into basic  steps, ramps, and shifts thereof. Example 1. Express f (t) as a sum of steps and  shifted steps. f (t) = 3u(t)+ u(t −1)− 2u(t − 2)− u(t − 3)− u(t − 4)Example 2. Express f (t) as a sum of ramps and  shifted ramps.  f (t) = KTr(t)− KTr(t − T ) Example 3. Express f (t) as a sum of basic signals  and shifts thereof. f (t) = Ku(t)− K T2 − T1r(t − T1)+K T2 − T1r(t − T2 )4. Definition of the Laplace Transform of a Signal, a  Function, or an Excitation.  ∞ F(s) = L[ f (t)] ! f (t)e−st dt ∫ 0− where  (i) s = σ + jω is a complex variable;  (ii) the integral converts a function of time, f (t),  into a new function, F(s), dependent on a NEW  complex (NON-TIME) variable s. (iii) The complex variable s represents  “frequency”. (iv) Music signals are composed of notes of  different frequencies. Music signals over windows of  time then have many frequencies of “sines” and  “cosines” that determine the signal. A prism breaks  up white light into multi-colored light. The Laplace  transform is the prism and the variable s tells of the  many different colors.Example 4. Compute Delta(s) ∞ Delta(s) = L[δ (t)] ! δ (t)e−st dt ∫ = e−st ⎤⎦t=0 = 1 0− Example 5. Compute U(s) = L[u(t)] ∞ U(s) = L[u(t)] ! u(t)e−st dt ∞ ∫ = e−st ⎤ ∞ ∫ = e−st dt −s ⎦⎥0− ⎤ ⎦⎥0−= 1s NOTE: e−st ⎤ 0− = e−st −s 0− ⎦⎥t→∞− e−st ⎤ −s −s ⎦⎥t→∞= 0 ALWAYS in 202 for reasons  to be explained in lecture 2.Example 6. Compute R(s) = L[r(t)] ∞ ∞ ∞ R(s) = L[r(t)] ! tu(t)e−st dt ∫ = − ddse−st ( )dt ∫ = te−st dt ∫ 0− ∞ 0− ∞ ⎛ 0− ⎞ ∫ = − ddse−st ⎡ = − ddse−st dt 0− ⎜⎜ ⎝ ⎣⎢ ⎤⎦⎥0− −s ⎟⎟= − dds1s⎛⎝⎜ ⎞⎠⎟ = 1s2⎠ 5. Some Practical Theorems—for Simplifying  Calculations (a) Linearity Theorem:  L a1 f1(t)+ a2 f2 [ (t)] = a1L f1 [ (t)]+ a2L f2 [ (t)] = a1F1(s)+ a2F2 (s) Proof: Follows directly from the distributive property  of the integral.(b) Time Shift Theorem:  L[ f (t − T )u(t − T )] = e−sT F(s) Proof:  Step 1. Write down definition: F(s) = L[ f (t − T )u(t − T )] ∞ ∞ ! f (t − T )u(t − T )e−st dt ∫ = f (t − T )e−st dt ∫ 0− T − Step 2. What do they tell you in calculus? Change of  variable??? (a) τ = t − T ⇒ t = τ + T (b) τ = 0− when t = T − (c) dt = dτStep 3. Substitute …. ∞ ∞ L[ f (t − T )u(t − T )] = f (t − T )e−st dt ∫ = f (τ )e−s(τ +T )dτ ∫ ∞ T − 0− = e−sT f (τ )e−sτ dτ ∫ = e−sT F(s)0− 5. OTHER EXAMPLES Example 7. Compute F(s). f (t) = 3u(t)+ u(t −1)− 2u(t − 2)− u(t − 3)− u(t − 4) Using Linearity, the shift theorem, and the fact that  L[u(t)] = 1s: F(s) = 3s+e−ss − 2 e−2s s − e−3s s − e−4s sExample 8. Compute F(s). f (t) = KTr(t)− KTr(t − T ) Using Linearity, the shift theorem, and the fact that  L[r(t)] = 1s2 : F(s) = KT⋅1s2 − KT⋅e−Ts s2Example 9. Compute F(s). f (t) = Ku(t)− K T2 − T1r(t − T1)+K T2 − T1r(t − T2 ) By inspection using the linearity and time shift  theorems: T2 − T1⋅e−T1s T2 − T1⋅e−T2s F(s) = Ks − K s2 +K s2
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