Active Filter Circuits Active Filter Circuits

Total Page:16

File Type:pdf, Size:1020Kb

Active Filter Circuits Active Filter Circuits ECE307-10 Active Filter Circuits Z. Aliyazicioglu Electrical and Computer Engineering Department Cal Poly Pomona Active Filter Circuits Introduction Filter circuits with RLC are passive filter circuit Use op amp to have active filter circuit Active filter can produce band-pass and band-reject filter without using inductor. Passive filter incapable of amplification. Max gain is 1 Active filter capable of amplification The cutoff frequency and band-pass magnitude of passive filter can change with additional load resistance This is not a case for active filters We look at few active filter with op amps. We look at that basic op amp filter circuits can be combined to active specific frequency response and to attain close to ideal filter response ECE 307-10 2 1 Active Filter= Circuits First-Order Low-pass Filters C Zf R2 R1 Zi - - Vi OUT Vo Vi OUT + + Vo + + −Zf 1 R2 Transfer function of the circuit Hs()= −R || − Z 2 sR C + 1 i Hs()==SC 2 RR −R ω 11 Hs()= 2 Hs()=− K c RsRC12(1)+ ()s + ωc Transfer function in jω The Gain Cutoff frequency 1 R2 1 Hj()ω =− K K = ω = ω R c RC (1+ j ) 1 2 ω ECE 307-10c 3 Active Filter Circuits Example • Find R2 and C values in the following active Low-pass filter for gain of 1 C and cutoff frequency of 1 rad/s. 1F R12 1 R1 From the gain R2 - K = = 1 RR21= =Ω1 1 R Vi OUT 1 + Vo + From the cutoff frequency 1 1 ωc = = 1 CF==1 RC2 R2 1 Hj()ω = ω (1+ j ) 1 ECE 307-10 4 2 Active Filter Circuits Example >> w=0.1:.1:10; >> h=20*log10(abs(1./(1+j*w))) ; >> semilogx(w,h) >> grid on >> xlabel('\omega(rad/s)') >> ylabel('|H(j\omega)| dB') >> ECE 307-10 5 Active Filter Circuits A first order high-pass filter R2 R1 C - Vi OUT + Vo + −Zf −RRsC− Transfer function of the circuit Hs()= Hs()==22 Z 1 RsC+ 1 i R + 1 −Rs 1 Hs()= 2 s sC 1 Hs()=− K Rs1()+ ()s + ω RC c 1 Transfer function in jω The Gain Cutoff frequency jω R K = 2 1 ω ωc = c R1 RC Hj()ω =− K 1 ω (1+ j ) ωc ECE 307-10 6 3 Active Filter Circuits Example R2 200K R1 C - 20 K Vi 0.1 uF OUT + Vo + • Find R2 and R1 values in the above active High-pass filter for gain of 10 and cutoff frequency of 500 rad/s. From the cutoff frequency 1 1 ωc ==500 RK1 = =Ω20 RC12 500C R From the gain K ==2 10 RR21= 10=Ω 200 K R1 jω 500 Transfer function in jω Hj()ω =− 10 ω (1+ j ) 500 ECE 307-10 7 Active Filter Circuits Example >> w=1:10000; >> h=20*log10(10*(abs((j*w/500 )./(1+j*w/500)))); >> semilogx(w,h) >> grid on >> xlabel('\omega(rad/s)') >> ylabel('|H(j\omega)| dB') >> ECE 307-10 8 4 Active Filter Circuits Scaling • In filter design, we can transform RLC values in to realistic values, this process is called scaling • Two types of scaling, magnitude and frequency scaling •In magnitude scaling, we multiply all L and R by scaling factor km, multiplying all C by 1/km C RkR' = m LkL' = m C ' = km •km,is positive real number ECE 307-10 9 Active Filter Circuits Scaling • frequency scaling, we multiply all L, C by 1/kf where kf is scaling factor. L C RR' = L' = C ' = kf kf • A circuit can be scaled in both magnitude and frequency in simultanously km C RkR' = m LL' = C ' = kf kkmf ECE 307-10 10 5 Active Filter Circuits Example • Example 1 , Find R2 and R1 values in the active Low-pass filter for gain of 5 C and cutoff frequency of 1Khz and 1F R12 c=0.01 µF R1 1 - 1 Vi OUT + Vo ωc ' 21000π + kf == =6283.185 ωc 1 11C k == =15915.5 m −8 kCf ' 6283.185(10 ) RkR22'==m 15915.5(1) = 15.9 K Ω • For gain specification, we need to change R1 R 15.9K RK= 2 ==Ω3.18 1 K 5 ECE 307-10 11 Active Filter Circuits Example >> f=1:10000; >> w=2*pi*f; >> h=20*log10(5*abs(1./(1 +j*w/(2*pi*1000)))); >> semilogx(f,h) >> grid on >> xlabel(‘f(Hz)') >> ylabel('|H(jf)| dB') ECE 307-10 12 6 Active Filter Circuits Op Amp Band-Pass Filters • Three components • A unity gain low-pass filter, cutoff frequency is ωc2 • A unity gain high-pass filter , cutoff frequency ωc1 • A gain component to provide the desired level ω c2 ≥ 2 ωc1 Vi Low-pass filter High-pass filter Inverting amp. Vo ECE 307-10 13 Active Filter Circuits Op Amp Band-Pass Filters CL RL RH RL Rf - RH CH Vi OUT - Rf + OUT - + OUT + Vo + −ωc2 −s Rf −Ksω Hs()=−Hs()= c2 ss++ωωcci21 R ()()ss++ωωcc21 −Ksω Hs()= c2 βs 2 Hs()= ss++()ωωcc12 + ωω cc 12 22 ss++β ω0 R 1 1 Hj()ω =− K =− f ωcc21 ω ωc2 = ωc1 = 0 RC RCH max Ri LL H ECE 307-10 14 7 Active Filter Circuits Example: • Design a band-pass filter for a graphical equalizer that has gain 2 within the frequency between 100 and 10,000 Hz. Use 0.1 µF capacitors • For upper cutoff frequency from LP filter 1 11 ω = R = ==Ω80 c2 L −6 RCLL ωcL2C 2π 10000(0.1)10 • For Lower cutoff frequency from HP filter 1 11 ω = R = ==Ω7958 c1 H −6 RCHH ωcL1C 2100(0.1)10π • For gain, choose Ri=1KΩ R K = f RRK= ==Ω1000(2) 2 K Ri fi ECE 307-10 15 Active Filter Circuits From transfer function −−2πω 1000j 2000 Hj()ω =− AHj= 20log | (ω ) | jjωπ++2 1000 ωπ 2 100 1000 dB 10 >> f=10:80000; >> w=2*pi*f; >> H=((- 2*pi*10000)./(j*w+2*pi* 10000)).*((- j*w)./(j*w+2*pi*100))*( -2); >> A=20*log10(abs(H)); >> semilogx(f,A) >> grid on; >> ylabel ('A_{dB}') >> xlabel ('F (Hz)') ECE 307-10 16 8 Active Filter Circuits Op Amp Band-Reject Filters • Three components • A unity gain low-pass filter, cutoff frequency is ωc1 • A unity gain high-pass filter , cutoff frequency ωc2 • A gain component to provide the desired level Low-pass filter Vi Inverting amp. Vo High-pass filter ECE 307-10 17 Active Filter Circuits Op Amp Band-Reject Filters CL RL −ωc1 −s Rf Hs()=+ − ss++ωω R RL cci12 - Rf OUT + Rf Vi RH - OUT + Vo RH CH + - Rf For ω >> ω OUT cc21 + 1 1 ωc1 = ωc2 = RCLL RCHH R ss2 ++2ωωω Hs()= f ccc112 Rs()()++ωω s R icc12 Hj()ω == K f max Ri ECE 307-10 18 9 Active Filter Circuits Example: • Design an active band-reject filter that has gain 5 and the stop frequency between 100 and 2000 Hz. Use 0.5 µF capacitors Fcc12==100 Hz and F 2000 Hz For ωcc21>> ω 11 1 RK= ==Ω3.18 ωc1 = L ω C −6 RCLL cL1 2100(0.5)10π 1 11 ω = R = ==Ω159 c2 H −6 RCHH ωcH2C 2π 2000(0.5)10 • For gain, choose Ri=1KΩ R K = f RRK= ==Ω1000(5) 5 K Ri fi ECE 307-10 19 Active Filter Circuits −ω − jω R Hj()ω =+c1 −f AHjdB = 20log10 | (ω ) | jωω++cci12jR ωω >> f=10:80000; >> w=2*pi*f; >> H=(((- 2*pi*100)./(j*w+2*pi*100)) +((- j*w)./(j*w+2*pi*2000)))*(- 5); >> A=20*log10(abs(H)); >> semilogx(f,A) >> grid on; >> xlabel ('F (Hz)') >> ylabel ('A_{dB}') ECE 307-10 20 10.
Recommended publications
  • Experiment 5 Resonant Circuits and Active Filters
    Introductory Electronics Laboratory Experiment 5 Resonant circuits and active filters Now we return to the realm of linear analog circuit design to consider the final op-amp circuit topic of the term: resonant circuits and active filters. Two-port networks in this category have transfer functions which are described by linear, second-order differential equations. First we investigate how a bit of positive feedback may be added to our repertory of linear op-amp circuit design techniques. We consider a negative impedance circuit which employs positive feedback in conjunction with negative feedback. This sort of circuit is found in a wide variety of linear op-amp applications including amplifiers, gyrators (inductance emulators), current sources, and, in particular, resonant circuits and sinusoidal oscillators. Next we switch topics to consider the archetypal resonant circuit: the LC resonator (inductor + capacitor). We use this circuit to define the resonant frequency and quality factor for a second-order system, and we investigate the frequency and transient responses of a high-Q, tuned circuit. We then introduce the general topic of second-order filters: resonant circuits with quality factors of around 1. We describe the behavior of second-order low-pass, high- pass, and band-pass filters. Finally, we implement such filters using linear op-amp circuits containing only RC combinations in their feedback networks, eliminating the need for costly and hard-to-find inductors. The filters’ circuitry will employ positive as well as negative feedback to accomplish this feat. We discuss some of the tradeoffs when selecting the Q to use in a second-order filter, and look at Bessel and Butterworth designs in particular.
    [Show full text]
  • Lecture 3: Transfer Function and Dynamic Response Analysis
    Transfer function approach Dynamic response Summary Basics of Automation and Control I Lecture 3: Transfer function and dynamic response analysis Paweł Malczyk Division of Theory of Machines and Robots Institute of Aeronautics and Applied Mechanics Faculty of Power and Aeronautical Engineering Warsaw University of Technology October 17, 2019 © Paweł Malczyk. Basics of Automation and Control I Lecture 3: Transfer function and dynamic response analysis 1 / 31 Transfer function approach Dynamic response Summary Outline 1 Transfer function approach 2 Dynamic response 3 Summary © Paweł Malczyk. Basics of Automation and Control I Lecture 3: Transfer function and dynamic response analysis 2 / 31 Transfer function approach Dynamic response Summary Transfer function approach 1 Transfer function approach SISO system Definition Poles and zeros Transfer function for multivariable system Properties 2 Dynamic response 3 Summary © Paweł Malczyk. Basics of Automation and Control I Lecture 3: Transfer function and dynamic response analysis 3 / 31 Transfer function approach Dynamic response Summary SISO system Fig. 1: Block diagram of a single input single output (SISO) system Consider the continuous, linear time-invariant (LTI) system defined by linear constant coefficient ordinary differential equation (LCCODE): dny dn−1y + − + ··· + _ + = an n an 1 n−1 a1y a0y dt dt (1) dmu dm−1u = b + b − + ··· + b u_ + b u m dtm m 1 dtm−1 1 0 initial conditions y(0), y_(0),..., y(n−1)(0), and u(0),..., u(m−1)(0) given, u(t) – input signal, y(t) – output signal, ai – real constants for i = 1, ··· , n, and bj – real constants for j = 1, ··· , m. How do I find the LCCODE (1)? .
    [Show full text]
  • 6 Ghz RF CMOS Active Inductor Band Pass Filter Design and Process Variation Detection
    Wright State University CORE Scholar Browse all Theses and Dissertations Theses and Dissertations 2014 6 GHz RF CMOS Active Inductor Band Pass Filter Design and Process Variation Detection Shuo Li Wright State University Follow this and additional works at: https://corescholar.libraries.wright.edu/etd_all Part of the Electrical and Computer Engineering Commons Repository Citation Li, Shuo, "6 GHz RF CMOS Active Inductor Band Pass Filter Design and Process Variation Detection" (2014). Browse all Theses and Dissertations. 1386. https://corescholar.libraries.wright.edu/etd_all/1386 This Thesis is brought to you for free and open access by the Theses and Dissertations at CORE Scholar. It has been accepted for inclusion in Browse all Theses and Dissertations by an authorized administrator of CORE Scholar. For more information, please contact [email protected]. 6 GHz RF CMOS Active Inductor Band Pass Filter Design and Process Variation Detection A thesis submitted in partial fulfillment of the requirements for the degree of Master of Science in Engineering By SHUO LI B.S., Dalian Jiaotong University, China, 2012 2014 WRIGHT STATE UNIVERSITY WRIGHT STATE UNIVERSITY GRADUATE SCHOOL July 1, 2013 I HEREBY RECOMMEND THAT THE THESIS PREPARED UNDER MY SUPERVISION BY Shuo Li ENTITLED “6 GHz RF CMOS Active Inductor Band Pass Filter Design and Process Variation Detection” BE ACCEPTED IN PARTIAL FULFILLMENT OF THE REQUIREMENTS FOR THE DEGREE OF Master of Science in Engineering ___________________________ Saiyu Ren, Ph.D. Thesis Director ___________________________ Brian D. Rigling, Ph.D. Chair, Department of Electrical Engineering Committee on Final Examination ___________________________ Saiyu Ren, Ph.D. ___________________________ Raymond Siferd, Ph.D.
    [Show full text]
  • Control Theory
    Control theory S. Simrock DESY, Hamburg, Germany Abstract In engineering and mathematics, control theory deals with the behaviour of dynamical systems. The desired output of a system is called the reference. When one or more output variables of a system need to follow a certain ref- erence over time, a controller manipulates the inputs to a system to obtain the desired effect on the output of the system. Rapid advances in digital system technology have radically altered the control design options. It has become routinely practicable to design very complicated digital controllers and to carry out the extensive calculations required for their design. These advances in im- plementation and design capability can be obtained at low cost because of the widespread availability of inexpensive and powerful digital processing plat- forms and high-speed analog IO devices. 1 Introduction The emphasis of this tutorial on control theory is on the design of digital controls to achieve good dy- namic response and small errors while using signals that are sampled in time and quantized in amplitude. Both transform (classical control) and state-space (modern control) methods are described and applied to illustrative examples. The transform methods emphasized are the root-locus method of Evans and fre- quency response. The state-space methods developed are the technique of pole assignment augmented by an estimator (observer) and optimal quadratic-loss control. The optimal control problems use the steady-state constant gain solution. Other topics covered are system identification and non-linear control. System identification is a general term to describe mathematical tools and algorithms that build dynamical models from measured data.
    [Show full text]
  • Step Response of Series RLC Circuit ‐ Output Taken Across Capacitor
    ESE 271 / Spring 2013 / Lecture 23 Step response of series RLC circuit ‐ output taken across capacitor. What happens during transient period from initial steady state to final steady state? 1 ESE 271 / Spring 2013 / Lecture 23 Transfer function of series RLC ‐ output taken across capacitor. Poles: Case 1: ‐‐two differen t real poles Case 2: ‐ two identical real poles ‐ complex conjugate poles Case 3: 2 ESE 271 / Spring 2013 / Lecture 23 Case 1: two different real poles. Step response of series RLC ‐ output taken across capacitor. Overdamped case –the circuit demonstrates relatively slow transient response. 3 ESE 271 / Spring 2013 / Lecture 23 Case 1: two different real poles. Freqqyuency response of series RLC ‐ output taken across capacitor. Uncorrected Bode Gain Plot Overdamped case –the circuit demonstrates relatively limited bandwidth 4 ESE 271 / Spring 2013 / Lecture 23 Case 2: two identical real poles. Step response of series RLC ‐ output taken across capacitor. Critically damped case –the circuit demonstrates the shortest possible rise time without overshoot. 5 ESE 271 / Spring 2013 / Lecture 23 Case 2: two identical real poles. Freqqyuency response of series RLC ‐ output taken across capacitor. Critically damped case –the circuit demonstrates the widest bandwidth without apparent resonance. Uncorrected Bode Gain Plot 6 ESE 271 / Spring 2013 / Lecture 23 Case 3: two complex poles. Step response of series RLC ‐ output taken across capacitor. Underdamped case – the circuit oscillates. 7 ESE 271 / Spring 2013 / Lecture 23 Case 3: two complex poles. Freqqyuency response of series RLC ‐ output taken across capacitor. Corrected Bode GiGain Plot Underdamped case –the circuit can demonstrate apparent resonant behavior.
    [Show full text]
  • Frequency Response and Bode Plots
    1 Frequency Response and Bode Plots 1.1 Preliminaries The steady-state sinusoidal frequency-response of a circuit is described by the phasor transfer function Hj( ) . A Bode plot is a graph of the magnitude (in dB) or phase of the transfer function versus frequency. Of course we can easily program the transfer function into a computer to make such plots, and for very complicated transfer functions this may be our only recourse. But in many cases the key features of the plot can be quickly sketched by hand using some simple rules that identify the impact of the poles and zeroes in shaping the frequency response. The advantage of this approach is the insight it provides on how the circuit elements influence the frequency response. This is especially important in the design of frequency-selective circuits. We will first consider how to generate Bode plots for simple poles, and then discuss how to handle the general second-order response. Before doing this, however, it may be helpful to review some properties of transfer functions, the decibel scale, and properties of the log function. Poles, Zeroes, and Stability The s-domain transfer function is always a rational polynomial function of the form Ns() smm as12 a s m asa Hs() K K mm12 10 (1.1) nn12 n Ds() s bsnn12 b s bsb 10 As we have seen already, the polynomials in the numerator and denominator are factored to find the poles and zeroes; these are the values of s that make the numerator or denominator zero. If we write the zeroes as zz123,, zetc., and similarly write the poles as pp123,, p , then Hs( ) can be written in factored form as ()()()s zsz sz Hs() K 12 m (1.2) ()()()s psp12 sp n 1 © Bob York 2009 2 Frequency Response and Bode Plots The pole and zero locations can be real or complex.
    [Show full text]
  • Linear Time Invariant Systems
    UNIT III LINEAR TIME INVARIANT CONTINUOUS TIME SYSTEMS CT systems – Linear Time invariant Systems – Basic properties of continuous time systems – Linearity, Causality, Time invariance, Stability – Frequency response of LTI systems – Analysis and characterization of LTI systems using Laplace transform – Computation of impulse response and transfer function using Laplace transform – Differential equation – Impulse response – Convolution integral and Frequency response. System A system may be defined as a set of elements or functional blocks which are connected together and produces an output in response to an input signal. The response or output of the system depends upon transfer function of the system. Mathematically, the functional relationship between input and output may be written as y(t)=f[x(t)] Types of system Like signals, systems may also be of two types as under: 1. Continuous-time system 2. Discrete time system Continuous time System Continuous time system may be defined as those systems in which the associated signals are also continuous. This means that input and output of continuous – time system are both continuous time signals. For example: Audio, video amplifiers, power supplies etc., are continuous time systems. Discrete time systems Discrete time system may be defined as a system in which the associated signals are also discrete time signals. This means that in a discrete time system, the input and output are both discrete time signals. For example, microprocessors, semiconductor memories, shift registers etc., are discrete time signals. LTI system:- Systems are broadly classified as continuous time systems and discrete time systems. Continuous time systems deal with continuous time signals and discrete time systems deal with discrete time system.
    [Show full text]
  • Simplified, Physically-Informed Models of Distortion and Overdrive Guitar Effects Pedals
    Proc. of the 10th Int. Conference on Digital Audio Effects (DAFx-07), Bordeaux, France, September 10-15, 2007 SIMPLIFIED, PHYSICALLY-INFORMED MODELS OF DISTORTION AND OVERDRIVE GUITAR EFFECTS PEDALS David T. Yeh, Jonathan S. Abel and Julius O. Smith Center for Computer Research in Music and Acoustics (CCRMA) Stanford University, Stanford, CA [dtyeh|abel|jos]@ccrma.stanford.edu ABSTRACT retained, however, because intermodulation due to mixing of sub- sonic components with audio frequency components is noticeable This paper explores a computationally efficient, physically in- in the audio band. formed approach to design algorithms for emulating guitar distor- tion circuits. Two iconic effects pedals are studied: the “Distor- Stages are partitioned at points in the circuit where an active tion” pedal and the “Tube Screamer” or “Overdrive” pedal. The element with low source impedance drives a high impedance load. primary distortion mechanism in both pedals is a diode clipper This approximation is also made with less accuracy where passive with an embedded low-pass filter, and is shown to follow a non- components feed into loads with higher impedance. Neglecting linear ordinary differential equation whose solution is computa- the interaction between the stages introduces magnitude error by a tionally expensive for real-time use. In the proposed method, a scalar factor and neglects higher order terms in the transfer func- simplified model, comprising the cascade of a conditioning filter, tion that are usually small in the audio band. memoryless nonlinearity and equalization filter, is chosen for its The nonlinearity may be evaluated as a nonlinear ordinary dif- computationally efficient, numerically robust properties.
    [Show full text]
  • Control System Design Methods
    Christiansen-Sec.19.qxd 06:08:2004 6:43 PM Page 19.1 The Electronics Engineers' Handbook, 5th Edition McGraw-Hill, Section 19, pp. 19.1-19.30, 2005. SECTION 19 CONTROL SYSTEMS Control is used to modify the behavior of a system so it behaves in a specific desirable way over time. For example, we may want the speed of a car on the highway to remain as close as possible to 60 miles per hour in spite of possible hills or adverse wind; or we may want an aircraft to follow a desired altitude, heading, and velocity profile independent of wind gusts; or we may want the temperature and pressure in a reactor vessel in a chemical process plant to be maintained at desired levels. All these are being accomplished today by control methods and the above are examples of what automatic control systems are designed to do, without human intervention. Control is used whenever quantities such as speed, altitude, temperature, or voltage must be made to behave in some desirable way over time. This section provides an introduction to control system design methods. P.A., Z.G. In This Section: CHAPTER 19.1 CONTROL SYSTEM DESIGN 19.3 INTRODUCTION 19.3 Proportional-Integral-Derivative Control 19.3 The Role of Control Theory 19.4 MATHEMATICAL DESCRIPTIONS 19.4 Linear Differential Equations 19.4 State Variable Descriptions 19.5 Transfer Functions 19.7 Frequency Response 19.9 ANALYSIS OF DYNAMICAL BEHAVIOR 19.10 System Response, Modes and Stability 19.10 Response of First and Second Order Systems 19.11 Transient Response Performance Specifications for a Second Order
    [Show full text]
  • Mathematical Modeling of Control Systems
    OGATA-CH02-013-062hr 7/14/09 1:51 PM Page 13 2 Mathematical Modeling of Control Systems 2–1 INTRODUCTION In studying control systems the reader must be able to model dynamic systems in math- ematical terms and analyze their dynamic characteristics.A mathematical model of a dy- namic system is defined as a set of equations that represents the dynamics of the system accurately, or at least fairly well. Note that a mathematical model is not unique to a given system.A system may be represented in many different ways and, therefore, may have many mathematical models, depending on one’s perspective. The dynamics of many systems, whether they are mechanical, electrical, thermal, economic, biological, and so on, may be described in terms of differential equations. Such differential equations may be obtained by using physical laws governing a partic- ular system—for example, Newton’s laws for mechanical systems and Kirchhoff’s laws for electrical systems. We must always keep in mind that deriving reasonable mathe- matical models is the most important part of the entire analysis of control systems. Throughout this book we assume that the principle of causality applies to the systems considered.This means that the current output of the system (the output at time t=0) depends on the past input (the input for t<0) but does not depend on the future input (the input for t>0). Mathematical Models. Mathematical models may assume many different forms. Depending on the particular system and the particular circumstances, one mathemati- cal model may be better suited than other models.
    [Show full text]
  • 12: Resonance
    12: Resonance • QuadraticFactors + • Damping Factor and Q • Parallel RLC • Behaviour at Resonance • Away from resonance • Bandwidth and Q • Power and Energy at Resonance + • Low Pass Filter • Resonance Peak for LP filter • Summary 12: Resonance E1.1 Analysis of Circuits (2017-10213) Resonance: 12 – 1 / 11 Quadratic Factors + 12: Resonance 2 • QuadraticFactors + A quadratic factor in a transfer function is: F (jω) = a (jω) + b (jω) + c. • Damping Factor and Q • Parallel RLC • Behaviour at Resonance • Away from resonance • Bandwidth and Q • Power and Energy at Resonance + • Low Pass Filter • Resonance Peak for LP filter • Summary E1.1 Analysis of Circuits (2017-10213) Resonance: 12 – 2 / 11 Quadratic Factors + 12: Resonance 2 • QuadraticFactors + A quadratic factor in a transfer function is: F (jω) = a (jω) + b (jω) + c. • Damping Factor and Q • Parallel RLC 2 • Behaviour at Resonance Case 1: If b 4ac then we can factorize it: • Away from resonance ≥ • Bandwidth and Q F (jω) = a(jω p1)(jω p2) • Power and Energy at − − Resonance + • Low Pass Filter • Resonance Peak for LP filter • Summary E1.1 Analysis of Circuits (2017-10213) Resonance: 12 – 2 / 11 Quadratic Factors + 12: Resonance 2 • QuadraticFactors + A quadratic factor in a transfer function is: F (jω) = a (jω) + b (jω) + c. • Damping Factor and Q • Parallel RLC 2 • Behaviour at Resonance Case 1: If b 4ac then we can factorize it: • Away from resonance ≥ • Bandwidth and Q F (jω) = a(jω p1)(jω p2) • Power and Energy at − − Resonance + b √b2 4ac • Low Pass Filter where p = − ± − . • Resonance Peak for LP i 2a filter • Summary E1.1 Analysis of Circuits (2017-10213) Resonance: 12 – 2 / 11 Quadratic Factors ++ 12: Resonance 2 • QuadraticFactors + A quadratic factor in a transfer function is: F (jω) = a (jω) + b (jω) + c.
    [Show full text]
  • Chapter 15: Active Filter Circuits
    CHAPTER 15: ACTIVE FILTER CIRCUITS 1 Contents 15.1 First-Order Low-Pass and High-Pass Filters 15.2 Scaling 15.3 Op Amp Bandpass and Bandreject Filters 15.4 High Order Op Amp Filters 15.5 Narrowband Bandpass and Bandreject Filters Electronic Circuits, Tenth Edition J ames W. Nilsson | Susan A. Riedel 2 15.1 1st-Order Low-Pass and High-Pass Filters • Active filters consist of op amps, resistors, and capacitors. • They overcome many of the disadvantages associated with passive filters. A first-order low-pass filter. A first-order low-pass filter. A general op amp circuit. • At very low frequencies, the capacitor acts like an open circuit, and the op amp circuit acts like an amplifier with a gain. • At very high frequencies, the capacitor acts like a short circuit, thereby connecting the output of the op amp circuit to ground. Electronic Circuits, Tenth Edition J ames W. Nilsson | Susan A. Riedel 3 15.1 1st-Order Low-Pass and High-Pass Filters Transfer function for the circuit 1 ‖ Where and = The gain in the passband, K, is set by the ratio R2/R1. The op amp low-pass filter thus permits the passband gain and the cutoff frequency to be specified independently. Electronic Circuits, Tenth Edition J ames W. Nilsson | Susan A. Riedel 4 15.1 1st-Order Low-Pass and High-Pass Filters • Bode plot (1) uses a logarithmic axis, instead of using a linear axis for the frequency values (2) plotted in decibels (dB), instead of plo tting the absolute magnitude of the tra nsfer function vs.
    [Show full text]