EE 508 Lecture 16. Filter Transformations. Lowpass to Bandpass Lowpass to Highpass Lowpass to Band-reject

Similar documents
EE 508 Lecture 16. Filter Transformations. Lowpass to Bandpass Lowpass to Highpass Lowpass to Band-reject

EE 508 Lecture 16. Filter Transformations. Lowpass to Bandpass Lowpass to Highpass Lowpass to Band-reject

EE 508 Lecture 15. Filter Transformations. Lowpass to Bandpass Lowpass to Highpass Lowpass to Band-reject

Lecture 10 Filtering: Applied Concepts

Design of Digital Filters

Active Filters an Introduction

HOMEWORK ASSIGNMENT #2

Active Filters an Introduction

RaneNote BESSEL FILTER CROSSOVER

SIMON FRASER UNIVERSITY School of Engineering Science ENSC 320 Electric Circuits II. R 4 := 100 kohm

Lecture #9 Continuous time filter

5.5 Application of Frequency Response: Signal Filters

SIMON FRASER UNIVERSITY School of Engineering Science ENSC 320 Electric Circuits II. Solutions to Assignment 3 February 2005.

Design By Emulation (Indirect Method)

Digital Signal Processing

EE Control Systems LECTURE 14

Question 1 Equivalent Circuits

Feedback Control Systems (FCS)

Follow The Leader Architecture

7.2 INVERSE TRANSFORMS AND TRANSFORMS OF DERIVATIVES 281

Chapter 7. Root Locus Analysis

Root Locus Contents. Root locus, sketching algorithm. Root locus, examples. Root locus, proofs. Root locus, control examples

Linearteam tech paper. The analysis of fourth-order state variable filter and it s application to Linkwitz- Riley filters

CHAPTER 13 FILTERS AND TUNED AMPLIFIERS

Finite Element Truss Problem

Digital Control System

MODERN CONTROL SYSTEMS

CHAPTER 4 DESIGN OF STATE FEEDBACK CONTROLLERS AND STATE OBSERVERS USING REDUCED ORDER MODEL

( 1) EE 313 Linear Signals & Systems (Fall 2018) Solution Set for Homework #10 on Laplace Transforms

into a discrete time function. Recall that the table of Laplace/z-transforms is constructed by (i) selecting to get

Social Studies 201 Notes for March 18, 2005

ME2142/ME2142E Feedback Control Systems

Chapter 13. Root Locus Introduction

( ) 2. 1) Bode plots/transfer functions. a. Draw magnitude and phase bode plots for the transfer function

Chapter 5 Consistency, Zero Stability, and the Dahlquist Equivalence Theorem

ELECTRONIC FILTERS. Celso José Faria de Araújo, M.Sc.

Sampling and the Discrete Fourier Transform

Problem Set 8 Solutions

CHAPTER 8 OBSERVER BASED REDUCED ORDER CONTROLLER DESIGN FOR LARGE SCALE LINEAR DISCRETE-TIME CONTROL SYSTEMS

Root Locus Diagram. Root loci: The portion of root locus when k assume positive values: that is 0

PI control system design for Electromagnetic Molding Machine based on Linear Programing

Social Studies 201 Notes for November 14, 2003

EE 508 Lecture 6. Scaling, Normalization and Transformation

Jump condition at the boundary between a porous catalyst and a homogeneous fluid

Alternate Dispersion Measures in Replicated Factorial Experiments

Lecture 6: Resonance II. Announcements

MAE140 Linear Circuits Fall 2012 Final, December 13th

11.2 Stability. A gain element is an active device. One potential problem with every active circuit is its stability

Nonlinear Single-Particle Dynamics in High Energy Accelerators

Lecture 8 - SISO Loop Design

ECEN620: Network Theory Broadband Circuit Design Fall 2018

Part A: Signal Processing. Professor E. Ambikairajah UNSW, Australia

Physics 741 Graduate Quantum Mechanics 1 Solutions to Final Exam, Fall 2014

HIGHER-ORDER FILTERS. Cascade of Biquad Filters. Follow the Leader Feedback Filters (FLF) ELEN 622 (ESS)

Frequency Response. We now know how to analyze and design ccts via s- domain methods which yield dynamical information

USPAS Course on Recirculated and Energy Recovered Linear Accelerators

A Simplified Methodology for the Synthesis of Adaptive Flight Control Systems

EE40 Lec 13. Prof. Nathan Cheung 10/13/2009. Reading: Hambley Chapter Chapter 14.10,14.5

Spring 2014 EE 445S Real-Time Digital Signal Processing Laboratory. Homework #0 Solutions on Review of Signals and Systems Material

Module 4: Time Response of discrete time systems Lecture Note 1

CONTROL SYSTEMS. Chapter 2 : Block Diagram & Signal Flow Graphs GATE Objective & Numerical Type Questions

Design of a Portable Emittance Measurement System for Spacecraft Thermal Design and Quality Control

Convective Heat Transfer

Given the following circuit with unknown initial capacitor voltage v(0): X(s) Immediately, we know that the transfer function H(s) is

Introduction to Laplace Transform Techniques in Circuit Analysis

By Xiaoquan Wen and Matthew Stephens University of Michigan and University of Chicago

Control Systems Analysis and Design by the Root-Locus Method

What lies between Δx E, which represents the steam valve, and ΔP M, which is the mechanical power into the synchronous machine?

Evolutionary Algorithms Based Fixed Order Robust Controller Design and Robustness Performance Analysis

Correction for Simple System Example and Notes on Laplace Transforms / Deviation Variables ECHE 550 Fall 2002

Chapter 2 Sampling and Quantization. In order to investigate sampling and quantization, the difference between analog

ME 141. Engineering Mechanics

Bogoliubov Transformation in Classical Mechanics

MATHEMATICAL MODELING OF INDUCTION MOTORS

March 18, 2014 Academic Year 2013/14

Main Topics: The Past, H(s): Poles, zeros, s-plane, and stability; Decomposition of the complete response.

LOW ORDER MIMO CONTROLLER DESIGN FOR AN ENGINE DISTURBANCE REJECTION PROBLEM. P.Dickinson, A.T.Shenton

84 ZHANG Jing-Shang Vol. 39 of which would emit 5 He rather than 3 He. 5 He i untable and eparated into n + pontaneouly, which can alo be treated a if

Suggested Answers To Exercises. estimates variability in a sampling distribution of random means. About 68% of means fall

LOAD FREQUENCY CONTROL OF MULTI AREA INTERCONNECTED SYSTEM WITH TCPS AND DIVERSE SOURCES OF POWER GENERATION

ME 375 FINAL EXAM SOLUTIONS Friday December 17, 2004

Lecture 17: Analytic Functions and Integrals (See Chapter 14 in Boas)

A Constraint Propagation Algorithm for Determining the Stability Margin. The paper addresses the stability margin assessment for linear systems

Molecular Dynamics Simulations of Nonequilibrium Effects Associated with Thermally Activated Exothermic Reactions

CHAPTER 6. Estimation

G(s) = 1 s by hand for! = 1, 2, 5, 10, 20, 50, and 100 rad/sec.

Chapter 4: Applications of Fourier Representations. Chih-Wei Liu

POWER SYSTEM SMALL SIGNAL STABILITY ANALYSIS BASED ON TEST SIGNAL

EE247 Lecture 10. Switched-Capacitor Integrator C

CONTROL SYSTEMS. Chapter 5 : Root Locus Diagram. GATE Objective & Numerical Type Solutions. The transfer function of a closed loop system is

Automatic Control Systems. Part III: Root Locus Technique

NONISOTHERMAL OPERATION OF IDEAL REACTORS Plug Flow Reactor

UNITS FOR THERMOMECHANICS

Function and Impulse Response

Electronic Circuits EE359A

Software Verification

1. The F-test for Equality of Two Variances

ECE382/ME482 Spring 2004 Homework 4 Solution November 14,

A Simple Approach to Synthesizing Naïve Quantized Control for Reference Tracking

The Laplace Transform

Transcription:

EE 508 Lecture 6 Filter Tranformation Lowpa to Bandpa Lowpa to Highpa Lowpa to Band-reject

Review from Lat Time Flat Paband/Stopband Filter T j T j Lowpa Bandpa T j T j Highpa Bandreject

Review from Lat Time Standard LP to BP Tranformation Verification of mapping Strategy: Image of Im axi: The mapping -domain map =0 to = j map =j to =j BN map = j to = j AN olving for, obtain + BW N + j = BW T LPN (f()) N + BW N -domain map =0 to = map = to = BN map = to = AN j BW ± BW j - 4 BW ± BW + 4 N N N N j thi ha no real part o the imaginary axi map to the imaginary axi Can readily how thi mapping map PB to PB and SB to SB i termed the tandard LP to BP tranformation

Review from Lat Time T LPN () Standard LP to BP Tranformation TLP j - + BW N TBP j T BPN () BW N BW N - AN - BN - AN BN

Review from Lat Time Standard LP to BP Tranformation Pole apping p p BW ± BW p - 4 X N N X,Q 0LP LP Im,Q 0BPH,Q 0BPL LBPH LBPL Im Re Re Image of the cc pole pair i the two pair of pole

Review from Lat Time Standard LP to BP Tranformation Pole apping,q 0LP LP Im,Q 0BPH,Q 0BPL Im LBPH LBPL Re Re Can how that the upper hp pole map to one upper hp pole and one lower hp pole a hown. Correponding mapping of the lower hp pole i alo hown

Review from Lat Time Standard LP to BP Tranformation Pole apping p p BW ± BW p - 4 X N N X Im Im Re Re multipliity 6 Note doubling of pole, addition of zero, and likely Q enhancement

LP to BP Tranformation Claim: Other variable mapping tranform exit that atify the imaginary axi mapping propertie needed to obtain the LP to BP tranformation but are eldom, if ever, dicued. The Standard LP to BP tranform I by far the mot popular and mot author treat it a if it i unique. T LPN ( x ) X f () T BPN ()

LP to BP Tranformation Pole Q of BP Approximation TLPN j TBP j BW BW = - H L L H H L Conider a pole in the LP approximation characterized by { 0LP,Q LP } It can be hown that the correponding BP pole have the ame Q (i.e. both bp pole lie on a common radial line),q 0LP LP Im,Q 0BPH,Q 0BPL LBPH LBPL Im Re Re

Pole Q of BP Approximation LP to BP Tranformation TLPN j TBP j BW Im,Q 0BPH,Q 0BPL BPH BPL Im BW = - H H L L L H,Q 0LP LP Re Re Define: BW It can be hown that 0LP Q Q 4 4 4 Q LP BPL BPH QLP For d mall, It can be hown that 0BP Q BP Q LP Q BP Q BP 4 QLP Q LP Note for d mall, Q BP can get very large

LP to BP Tranformation Pole Q of BP Approximation BW 0LP Q Q 4 4 4 Q LP BPL BPH QLP

LP to BP Tranformation Pole location v Q LP and BW 0LP

LP to BP Tranformation TLPN j TBP j BW L H Claical BP Approximation Butterworth Chebychev Elliptic Beel Obtained by the LP to BP tranformation of the correponding LP approximation

Standard LP to BP Tranformation + BW Standard LP to BP tranform i a variable mapping tranform ap j axi to j axi ap LP pole to BP pole Preerve baic hape but warp frequency axi Double order Pole Q of reultant band-pa function can be very large for narrow pa-band Sequencing of frequency caling and tranformation doe not affect final function N

Example : Obtain an approximation that meet the following pecification A A R A S AL A B BH BW= - B = A B A Aume that AL, BH and atify - - AL BH BW BW AL BH

Recall from lat lecture Standard LP to BP Tranformation Frequency and -domain apping - Denormalized (ubcript variable in LP approximation for notational convenience) T LPN ( x ) X + BW T BP () X X + BW - BW BW ± BW - 4 X X BW ± BW 4 X X Exercie: Reolve the dimenional conitency in the lat equation

Example : Obtain an approximation that meet the following pecification A A R A S AL A B BH A A RN SN +ε A = A R A = A S A = A R BW= - B = A B A A RN A SN S - - AL BH BW BW AL BH S A A R AL - - AL BW (actually A and AL that map to and S repectively but how A and AL for convenience)

Example : Obtain an approximation that meet the following pecification A A R A SL A SH AL A B BH BW= - B = A B A In thi example, - - AL BH BW BW AL BH

Example : Obtain an approximation that meet the following pecification A A R A RN A = A +ε R A = A R A SL A SH AL A B BH A A SH A =min, SN A A SL A RN A SN BW= - B A A RN A SN S S A A R S S - - AL BW AL - BH BW BH = B A min, SN S S

A RN A SN Example : Obtain an approximation that meet the following pecification A RN A SN S S AR A = RN A A = +ε A A A SH A =min, SN R A A SL BW= - B A RN A SN A SN min, SN S S A R S S A - - AL BW BH AL - BH BW = B A min, SN S S

Filter Tranformation Lowpa to Bandpa Lowpa to Highpa Lowpa to Band-reject (LP to BR) (LP to BP) (LP to HP) Approach will be to take advantage of the reult obtained for the tandard LP approximation Will focu on flat paband and zero-gain top-band tranformation

LP to BS Tranformation Strategy: A wa done for the LP to BP approximation, will ue a variable mapping trategy that map the imaginary axi in the -plane to the imaginary axi in the -plane o the baic hape i preerved. X IN TLPN X OUT f X IN TBS X OUT BS LPN T T f f = m T i=0 n T i=0 a Ti b Ti i i

LP to BS Tranformation T j T j BS BW N Normalized BW N=BN -AN AN BN AN BN T j T j BS Normalized BW N BW N - - BN - AN AN - BN

apping Strategy: Standard LP to BS Tranformation T j T j BS Normalized BW N BW N - - BN - AN AN - BN Variable apping Strategy to Preerve Shape of LP function: F N () hould map =0 to =± j map =0 to = j0 map =j to =j A map =j to =-j B map =-j to =j B map =-j to =-j A map =0 to = ± map =0 to = 0 map = to = A map = to = - B map = to = B map = to = - A

Standard LP to BS Tranformation map =0 to = ± map =0 to = 0 map = to = A map = to = - B map = to = B map = to = - A T j - = - TBS j = - - 0 0

Standard LP to BS Tranformation T LPN () F N () T BSN () apping Strategy: conider variable mapping tranform map =0 to =± j map =0 to = j0 map =j to =j A map =j to =-j B map =-j to =j B map =-j to =-j A F N () hould map =0 to = ± map =0 to = 0 map = to = A map = to = - B map = to = B map = to = - A Conider variable mapping LPN T F ( ) =T N BW BSN N BW N

Comparion of Tranform LP to BP + BW LP to BS N BW N T j T j TLPN j BS TBP AN j BW N BN BW L H

Standard LP to BS Tranformation Frequency and -domain apping (ubcript variable in LP approximation for notational convenience) T LPN ( x ) X BW T BSN () N BWN BW - X X BW BW N N ± - 4 X X BW BW N N X X N 4

Standard LP to BS Tranformation Un-normalized Frequency and -domain apping (ubcript variable in LP approximation for notational convenience) T LPN ( x ) X BW T BS () BW BW - X X BW BW ± - 4 X X BW BW 4 X X

Standard LP to BS Tranformation Pole apping Im,Q 0BPH LBPH,Q 0LPN LP Im,Q 0BPL LBPL Re Re Can how that the upper hp pole map to one upper hp pole and one lower hp pole a hown. Correponding mapping of the lower hp pole i alo hown

Pole Q of BS Approximation LP to BS Tranformation T j TBP j BW N Im AN BN,Q 0BSH LBSH BW = BN - AN,Q 0LPN LP Im Re,Q 0BSL Re LBSL Define: BW It can be hown that ANBN 0LPN Q Q 4 4 4 Q LP BSL BSH QLP For γ mall, It can be hown that 0BS Q BS Q LP Q BS Q BS 4 QLP Q LP Note for γ mall, Q BS can get very large

Standard LP to BS Tranformation p BW Pole apping N p BW ± N - 4 p X X Im Im multipliity 6 Re Re multipliity 6 Note doubling of pole, addition of zero, and likely Q enhancement

Standard LP to BS Tranformation BW X Standard LP to BS tranformation i a variable mapping tranform ap j axi to j axi in the -plane Preerve baic hape of an approximation but warp frequency axi Order of BS approximation i double that of the LP Approximation Pole Q and 0 expreion are identical to thoe of the LP to BP tranformation Pole Q of BS approximation can get very large for narrow BW Other variable tranform exit but the tandard i by far the mot popular

Filter Tranformation Lowpa to Bandpa Lowpa to Highpa Lowpa to Band-reject (LP to BR) (LP to BP) (LP to HP) Approach will be to take advantage of the reult obtained for the tandard LP approximation Will focu on flat paband and zero-gain top-band tranformation

LP to HP Tranformation Strategy: A wa done for the LP to BP approximation, will ue a variable mapping trategy that map the imaginary axi in the -plane to the imaginary axi in the -plane o the baic hape i preerved. X IN TLPN X OUT f X IN THP X OUT HP LPN T T f f = m T i=0 n T i=0 a Ti b Ti i i

LP to HP Tranformation T j T j HP Normalized T j T j HP Normalized - -

apping Strategy: Standard LP to HP Tranformation T j T j LP Normalized HP - - Variable apping Strategy to Preerve Shape of LP function: F N () hould map =0 to =± j map =j to =-j map = j to =j map =0 to = map = to =- map = to =

Standard LP to HP Tranformation T LPN () F N () T HPN () apping Strategy: conider variable mapping tranform F N () hould map =0 to =± j map =j to =-j map = j to =j map =0 to = map = to =- map = to = Conider variable mapping T ( ) =T LPN LPN F

Comparion of Tranform LP to BP + BW LP to BS N BW N T j T j TLPN j BS TBP AN j BW N BN BW L H LP to HP T j T j LP HP

LP to HP Tranformation (Normalized Tranform) T j - THP j = - = -

Standard LP to HP Tranformation Frequency and -domain apping (ubcript variable in LP approximation for notational convenience) T LPN ( x ) X T HPN () X X - X - X

Standard LP to HP Tranformation Pole apping Claim: With a variable mapping tranform, the variable mapping naturally define the mapping of the pole of the tranformed function T LPN ( x ) p X p X T HPN () p p X

Standard LP to HP Tranformation Pole apping T LPN ( x ) X p p X T HPN () If p X =α+jβ α-jβ p= = α+jβ α +β and p X =α-jβ α+jβ p= = α+jβ α +β

Standard LP to HP Tranformation Pole apping T LPN ( x ) X p p X T HPN () If p X =α+jβ α-jβ p= = α+jβ α +β and p X =α-jβ α+jβ p= = α+jβ α +β Highpa pole are caled in magnitude but make identical angle with imaginary axi HP pole Q i ame a LP pole Q Order i preerved

Standard LP to HP Tranformation (Un-normalized variable mapping tranform) 0 T j - THP j = - = - 0 0

Filter Deign Proce Etablih Specification - poibly T D () or H D (z) - magnitude and phae characteritic or retriction - time domain requirement Approximation - obtain acceptable tranfer function T A () or H A (z) - poibly acceptable realizable time-domain repone Synthei - build circuit or implement algorithm that ha repone cloe to T A () or H A (z) - actually realize T R () or H R (z) Filter

End of Lecture 6