Understanding Power Factor and Crest Factor
Total Page:16
File Type:pdf, Size:1020Kb
Load more
Recommended publications
-
Power Quality Evaluation for Electrical Installation of Hospital Building
(IJACSA) International Journal of Advanced Computer Science and Applications, Vol. 10, No. 12, 2019 Power Quality Evaluation for Electrical Installation of Hospital Building Agus Jamal1, Sekarlita Gusfat Putri2, Anna Nur Nazilah Chamim3, Ramadoni Syahputra4 Department of Electrical Engineering, Faculty of Engineering Universitas Muhammadiyah Yogyakarta Yogyakarta, Indonesia Abstract—This paper presents improvements to the quality of Considering how vital electrical energy services are to power in hospital building installations using power capacitors. consumers, good quality electricity is needed [11]. There are Power quality in the distribution network is an important issue several methods to correct the voltage drop in a system, that must be considered in the electric power system. One namely by increasing the cross-section wire, changing the important variable that must be found in the quality of the power feeder section from one phase to a three-phase system, distribution system is the power factor. The power factor plays sending the load through a new feeder. The three methods an essential role in determining the efficiency of a distribution above show ineffectiveness both in terms of infrastructure and network. A good power factor will make the distribution system in terms of cost. Another technique that allows for more very efficient in using electricity. Hospital building installation is productive work is by using a Bank Capacitor [12]. one component in the distribution network that is very important to analyze. Nowadays, hospitals have a lot of computer-based The addition of capacitor banks can improve the power medical equipment. This medical equipment contains many factor, supply reactive power so that it can maximize the use electronic components that significantly affect the power factor of complex power, reduce voltage drops, avoid overloaded of the system. -
WILL the REAL MAXIMUM SPL PLEASE STAND UP? Measured Maximum SPL Vs Calculated Maximum SPL and How Not to Be Fooled
WILL THE REAL MAXIMUM SPL PLEASE STAND UP? Measured Maximum SPL vs Calculated Maximum SPL and how not to be fooled Introduction When purchasing powered loudspeakers, most customers compare three key specifications: price, power and maximum SPL. Unfortunately, this can be like comparing apples and oranges. For the Maximum SPL number in particular, each manufacturer often has its own way of reporting the specification. There are various methods a manufacturer can employ and each tends to choose the one that makes a particular product look the best. Unfortunately for the customer, this makes comparing two products on paper very difficult. In this document, Mackie will do the following to shed some light on this issue: • Compare and contrast two common ways of reporting the maximum SPL of a powered loudspeaker. • Conduct a case study comparing the Mackie HD series loudspeakers with similar models from a key competitor to illustrate these differences. • Provide common practices for the customer to follow, allowing them to see through the hype and help them choose the best loudspeaker for their specific needs. The two most common ways of reporting maximum SPL for a loudspeaker are a Calculated Maximum SPL and a Measured Maximum SPL. These names are given here to simplify comparison; other manufacturers may use different terminology. Calculated Maximum SPL The Calculated Maximum SPL is a purely theoretical specification. The manufacturer uses the known power of their amplifier and the known sensitivity of the transducer to mathematically calculate the maximum SPL they can produce in a particular loudspeaker. For example, a compression driver’s peak sensitivity may be 110 dB at 1W at 1 meter. -
Chapter 73 Mean and Root Mean Square Values
CHAPTER 73 MEAN AND ROOT MEAN SQUARE VALUES EXERCISE 286 Page 778 1. Determine the mean value of (a) y = 3 x from x = 0 to x = 4 π (b) y = sin 2θ from θ = 0 to θ = (c) y = 4et from t = 1 to t = 4 4 3/2 4 44 4 4 1 1 11/2 13x 13 (a) Mean value, y= ∫∫ yxd3d3d= xx= ∫ x x= = x − 00 0 0 4 0 4 4 4 3/20 2 1 11 = 433=( 2) = (8) = 4 2( ) 22 π /4 1 ππ/4 4 /4 4 cos 2θπ 2 (b) Mean value, yy=dθ = sin 2 θθ d =−=−−cos 2 cos 0 π ∫∫00ππ24 π − 0 0 4 2 2 = – (01− ) = or 0.637 π π 144 1 144 (c) Mean value, y= yxd= 4ett d t = 4e = e41 − e = 69.17 41− ∫∫11 3 31 3 2. Calculate the mean value of y = 2x2 + 5 in the range x = 1 to x = 4 by (a) the mid-ordinate rule and (b) integration. (a) A sketch of y = 25x2 + is shown below. 1146 © 2014, John Bird Using 6 intervals each of width 0.5 gives mid-ordinates at x = 1.25, 1.75, 2.25, 2.75, 3.25 and 3.75, as shown in the diagram x 1.25 1.75 2.25 2.75 3.25 3.75 y = 25x2 + 8.125 11.125 15.125 20.125 26.125 33.125 Area under curve between x = 1 and x = 4 using the mid-ordinate rule with 6 intervals ≈ (width of interval)(sum of mid-ordinates) ≈ (0.5)( 8.125 + 11.125 + 15.125 + 20.125 + 26.125 + 33.125) ≈ (0.5)(113.75) = 56.875 area under curve 56.875 56.875 and mean value = = = = 18.96 length of base 4− 1 3 3 4 44 1 1 2 1 2x 1 128 2 (b) By integration, y= yxd = 2 x + 5 d x = +5 x = +20 −+ 5 − ∫∫11 41 3 3 31 3 3 3 1 = (57) = 19 3 This is the precise answer and could be obtained by an approximate method as long as sufficient intervals were taken 3. -
Tracking of High-Speed, Non-Smooth and Microscale-Amplitude Wave Trajectories
Tracking of High-speed, Non-smooth and Microscale-amplitude Wave Trajectories Jiradech Kongthon Department of Mechatronics Engineering, Assumption University, Suvarnabhumi Campus, Samuthprakarn, Thailand Keywords: High-speed Tracking, Inversion-based Control, Microscale Positioning, Reduced-order Inverse, Tracking. Abstract: In this article, an inversion-based control approach is proposed and presented for tracking desired trajectories with high-speed (100Hz), non-smooth (triangle and sawtooth waves), and microscale-amplitude (10 micron) wave forms. The interesting challenge is that the tracking involves the trajectories that possess a high frequency, a microscale amplitude, sharp turnarounds at the corners. Two different types of wave trajectories, which are triangle and sawtooth waves, are investigated. The model, or the transfer function of a piezoactuator is obtained experimentally from the frequency response by using a dynamic signal analyzer. Under the inversion-based control scheme and the model obtained, the tracking is simulated in MATLAB. The main contributions of this work are to show that (1) the model and the controller achieve a good tracking performance measured by the root mean square error (RMSE) and the maximum error (Emax), (2) the maximum error occurs at the sharp corner of the trajectories, (3) tracking the sawtooth wave yields larger RMSE and Emax values,compared to tracking the triangle wave, and (4) in terms of robustness to modeling error or unmodeled dynamics, Emax is still less than 10% of the peak to peak amplitude of 20 micron if the increases in the natural frequency and the damping ratio are less than 5% for the triangle trajectory and Emax is still less than 10% of the peak to peak amplitude of 20 micron if the increases in the natural frequency and the damping ratio are less than 3.2 % for the sawtooth trajectory. -
Verified Design Analog Pulse Width Modulation
John Caldwell TI Precision Designs: Verified Design Analog Pulse Width Modulation TI Precision Designs Circuit Description TI Precision Designs are analog solutions created by This circuit utilizes a triangle wave generator and TI’s analog experts. Verified Designs offer the theory, comparator to generate a pulse-width-modulated component selection, simulation, complete PCB (PWM) waveform with a duty cycle that is inversely schematic & layout, bill of materials, and measured proportional to the input voltage. An op amp and performance of useful circuits. Circuit modifications comparator generate a triangular waveform which is that help to meet alternate design goals are also passed to the inverting input of a second comparator. discussed. By passing the input voltage to the non-inverting comparator input, a PWM waveform is produced. Negative feedback of the PWM waveform to an error amplifier is utilized to ensure high accuracy and linearity of the output Design Resources Ask The Analog Experts Design Archive All Design files WEBENCH® Design Center TINA-TI™ SPICE Simulator TI Precision Designs Library OPA2365 Product Folder TLV3502 Product Folder REF3325 Product Folder R4 C1 VCC R3 - VPWM + VIN VREF R1 + ++ + U1A - U2A V R2 C2 CC VTRI C3 R7 - ++ U1B VREF VCC VREF - ++ U2B VCC R6 R5 An IMPORTANT NOTICE at the end of this TI reference design addresses authorized use, intellectual property matters and other important disclaimers and information. TINA-TI is a trademark of Texas Instruments WEBENCH is a registered trademark of Texas Instruments SLAU508-June 2013-Revised June 2013 Analog Pulse Width Modulation 1 Copyright © 2013, Texas Instruments Incorporated www.ti.com 1 Design Summary The design requirements are as follows: Supply voltage: 5 Vdc Input voltage: -2 V to +2 V, dc coupled Output: 5 V, 500 kHz PWM Ideal transfer function: V The design goals and performance are summarized in Table 1. -
Frequency Based Fatigue
Frequency Based Fatigue Professor Darrell F. Socie Mechanical Engineering University of Illinois at Urbana-Champaign © 2001 Darrell Socie, All Rights Reserved Deterministic versus Random Deterministic – from past measurements the future position of a satellite can be predicted with reasonable accuracy Random – from past measurements the future position of a car can only be described in terms of probability and statistical averages AAR Seminar © 2001 Darrell Socie, All Rights Reserved 1 of 57 Time Domain Bracket.sif-Strain_c56 750 Strain (ustrain) -750 Time (Secs) AAR Seminar © 2001 Darrell Socie, All Rights Reserved 2 of 57 Frequency Domain ap_000.sif-Strain_b43 102 101 100 Strain (ustrain) 10-1 0 20 40 60 80 100 120 140 Frequency (Hz) AAR Seminar © 2001 Darrell Socie, All Rights Reserved 3 of 57 Statistics of Time Histories ! Mean or Expected Value ! Variance / Standard Deviation ! Coefficient of Variation ! Root Mean Square ! Kurtosis ! Skewness ! Crest Factor ! Irregularity Factor AAR Seminar © 2001 Darrell Socie, All Rights Reserved 4 of 57 Mean or Expected Value Central tendency of the data N ∑ x i = Mean = µ = x = E()X = i 1 x N AAR Seminar © 2001 Darrell Socie, All Rights Reserved 5 of 57 Variance / Standard Deviation Dispersion of the data N − 2 ∑( xi x ) Var()X = i =1 N Standard deviation σ = x Var( X ) AAR Seminar © 2001 Darrell Socie, All Rights Reserved 6 of 57 Coefficient of Variation σ COV = x µ x Useful to compare different dispersions µ =10 µ = 100 σ =1 σ =10 COV = 0.1 COV = 0.1 AAR Seminar © 2001 Darrell Socie, All Rights Reserved 7 of 57 Root Mean Square N 2 ∑ x i = RMS = i 1 N The rms is equal to the standard deviation when the mean is 0 AAR Seminar © 2001 Darrell Socie, All Rights Reserved 8 of 57 Skewness Skewness is a measure of the asymmetry of the data around the sample mean. -
Sound Quality of Audio Systems
Acoustical Measurement of Sound System Equipment according IEC 60268-21 符合IEC 60268-21的音響系統聲學測量設備 KLIPPEL- live a series of webinars presented by Wolfgang Klippel KLIPPEL-live #5: Maximum SPL – a number becomes important , 1 Previous Sessions 1. Modern audio equipment needs output based testing 2. Standard acoustical tests performed in normal rooms 3. Drawing meaningful conclusions from 3D output measurement 4. Simulated standard condition at an evaluation point 5. Maximum SPL – giving this value meaning 6. Selecting measurements with high diagnostic value 7. Amplitude Compression – less output at higher amplitudes 8. Harmonic Distortion Measurements – best practice 9. Intermodulation Distortion – music is more than a single tone 10.Impulsive distortion - rub&buzz, abnormal behavior, defects 11.Benchmarking of audio products under standard conditions 12.Auralization of signal distortion – perceptual evaluation 13.Setting meaningful tolerances for signal distortion Acoustical14.testingRatingof a modernthe maximum active audio deviceSPL value for a product 1st Session15.2nd SessionSmart speaker testing with wireless audio input 3rd Session 4th Session KLIPPEL-live #5: Maximum SPL – a number becomes important , 2 Ask Klippel First Question: 在沒有復雜的測試箱或基於近場/遠場測量設置的測試箱的情況下,品檢上是否有一個好的解決方案。 Is there a good solution for on-line QC without complex testing box or testing chamber based on near field / far field measurement setting. Response WK: 否,對於傳感器和小型系統(例如智能手機),因為屏蔽環境噪聲非常有用。 NO, for transducers and small system (e.g. smart phones) because the shielding against ambient noise is very useful. 是的,較大的系統(條形音箱,專業設備,電視……)需要不同的解決方式 Yes, larger systems (sound bars, professional equipment, TVs …) need a different solution considering the following points: • 進行近場測量(與環境噪聲相比,SNR更高,SPL更高) Performing a near-field measurement (better SNR, higher SPL compared to ambient noise) • 在終端測試處使用圍繞測試站的吸收牆。 圍繞組裝線建造測試環境的最佳解決方案。 Using absorbing walls around the test station at the end of line. -
The Oscilloscope and the Function Generator: Some Introductory Exercises for Students in the Advanced Labs
The Oscilloscope and the Function Generator: Some introductory exercises for students in the advanced labs Introduction So many of the experiments in the advanced labs make use of oscilloscopes and function generators that it is useful to learn their general operation. Function generators are signal sources which provide a specifiable voltage applied over a specifiable time, such as a \sine wave" or \triangle wave" signal. These signals are used to control other apparatus to, for example, vary a magnetic field (superconductivity and NMR experiments) send a radioactive source back and forth (M¨ossbauer effect experiment), or act as a timing signal, i.e., \clock" (phase-sensitive detection experiment). Oscilloscopes are a type of signal analyzer|they show the experimenter a picture of the signal, usually in the form of a voltage versus time graph. The user can then study this picture to learn the amplitude, frequency, and overall shape of the signal which may depend on the physics being explored in the experiment. Both function generators and oscilloscopes are highly sophisticated and technologically mature devices. The oldest forms of them date back to the beginnings of electronic engineering, and their modern descendants are often digitally based, multifunction devices costing thousands of dollars. This collection of exercises is intended to get you started on some of the basics of operating 'scopes and generators, but it takes a good deal of experience to learn how to operate them well and take full advantage of their capabilities. Function generator basics Function generators, whether the old analog type or the newer digital type, have a few common features: A way to select a waveform type: sine, square, and triangle are most common, but some will • give ramps, pulses, \noise", or allow you to program a particular arbitrary shape. -
True RMS, Trueinrush®, and True Megohmmeter®
“WATTS CURRENT” TECHNICAL BULLETIN Issue 09 Summer 2016 True RMS, TrueInRush®, and True Megohmmeter ® f you’re a user of AEMC® instruments, you may have come across the terms True IRMS, TrueInRush®, and/or True Megohmmeter ®. In this article, we’ll briefly define what these terms mean and why they are important to you. True RMS The most well-known of these is True RMS, an industry term for a method for calculating Root Mean Square. Root Mean Square, or RMS, is a mathematical concept used to derive the average of a constantly varying value. In electronics, RMS provides a way to measure effective AC power that allows you to compare it to the equivalent heating value of a DC system. Some low-end instruments employ a technique known as “average sensing,” sometimes referred to as “average RMS.” This entails multiplying the peak AC voltage or current by 0.707, which represents the decimal form of one over the square root of two. For electrical systems where the AC cycle is sinusoidal and reasonably undistorted, this can produce accurate and reliable results. Unfortunately, for other AC waveforms, such as square waves, this calculation can introduce significant inaccuracies. The equation can also be problematic when the AC wave is non-linear, as would be found in systems where the original or fundamental wave is distorted by one or more harmonic waves. In these cases, we need to apply a method known as “true” RMS. This involves a more generalized mathematical calculation that takes into consideration all irregularities and asymmetries that may be present in the AC waveform: In this equation, n equals the number of measurements made during one complete cycle of the waveform. -
The Differential Pair As a Triangle-Sine Wave Converter V - ROBERT G
418 IEEE JOURNAL OF SOLID-STATE CIRCUITS, JUNE 1976 Correspondence The Differential Pair as a Triangle-Sine Wave Converter v - ROBERT G. MEYER, WILLY M. C. SANSEN, SIK LUI, AND STEFAN PEETERS R~ R~ 1 / Abstract–The performance of a differential pair with emitter degen- eration as a triangle-sine wave converter is analyzed. Equations describ- ing the circuit operation are derived and solved both analytically and by computer. This allows selection of operating conditions for optimum performance such that total harmonic distortion as low as 0.2 percent “- has been measured. -vEE (a) I. INTRODUCTION The conversion of ttiangle waves to sine waves is a function I ---- I- often required in waveshaping circuits. For example, the oscil- lators used in function generators usually generate triangular output waveforms [ 1] because of the ease with which such oscillators can operate over a wide frequency range including very low frequencies. This situation is also common in mono- r v, Zr t lithic oscillators [2] . Sinusoidal outputs are commonly de- sired in such oscillators and can be achieved by use of a non- linear circuit which produces an output sine wave from an input triangle wave. — — — — The above circuit function has been realized in the past by -I -I ----- means of a piecewise linear approximation using diode shaping J ‘“b ‘M VI networks [ 1] . However, a simpler approach and one well M suited to monolithic realization has been suggested by Grebene [3] . This is shown in Fig. 1 and consists simply of a differen- 77 tial pair with an appropriate value of emitter resistance R. -
Basic Statistics = ∑
Basic Statistics, Page 1 Basic Statistics Author: John M. Cimbala, Penn State University Latest revision: 26 August 2011 Introduction The purpose of this learning module is to introduce you to some of the fundamental definitions and techniques related to analyzing measurements with statistics. In all the definitions and examples discussed here, we consider a collection (sample) of measurements of a steady parameter. E.g., repeated measurements of a temperature, distance, voltage, etc. Basic Definitions for Data Analysis using Statistics First some definitions are necessary: o Population – the entire collection of measurements, not all of which will be analyzed statistically. o Sample – a subset of the population that is analyzed statistically. A sample consists of n measurements. o Statistic – a numerical attribute of the sample (e.g., mean, median, standard deviation). Suppose a population – a series of measurements (or readings) of some variable x is available. Variable x can be anything that is measurable, such as a length, time, voltage, current, resistance, etc. Consider a sample of these measurements – some portion of the population that is to be analyzed statistically. The measurements are x1, x2, x3, ..., xn, where n is the number of measurements in the sample under consideration. The following represent some of the statistics that can be calculated: 1 n Mean – the sample mean is simply the arithmetic average, as is commonly calculated, i.e., x xi , n i1 where i is one of the n measurements of the sample. o We sometimes use the notation xavg instead of x to indicate the average of all x values in the sample, especially when using Excel since overbars are difficult to add. -
Power Flow on AC Transmission Lines
Basics of Electricity Power Flow on AC Transmission Lines PJM State & Member Training Dept. PJM©2014 7/11/2013 Objectives • Describe the basic make-up and theory of an AC transmission line • Given the formula for real power and information, calculate real power flow on an AC transmission facility • Given the formula for reactive power and information, calculate reactive power flow on an AC transmission facility • Given voltage magnitudes and phase angle information between 2 busses, determine how real and reactive power will flow PJM©2014 7/11/2013 Introduction • Transmission lines are used to connect electric power sources to electric power loads. In general, transmission lines connect the system’s generators to it’s distribution substations. Transmission lines are also used to interconnect neighboring power systems. Since transmission power losses are proportional to the square of the load current, high voltages, from 115kV to 765kV, are used to minimize losses PJM©2014 7/11/2013 AC Power Flow Overview PJM©2014 7/11/2013 AC Power Flow Overview R XL VS VR 1/2X 1/2XC C • Different lines have different values for R, XL, and XC, depending on: • Length • Conductor spacing • Conductor cross-sectional area • XC is equally distributed along the line PJM©2014 7/11/2013 Resistance in AC Circuits • Resistance (R) is the property of a material that opposes current flow causing real power or watt losses due to I2R heating • Line resistance is dependent on: • Conductor material • Conductor cross-sectional area • Conductor length • In a purely resistive