Advanced Instrumentation and Computer I/O Design (eBook)
190 Seiten
Wiley (Verlag)
978-1-118-50479-6 (ISBN)
Written by an expert in the field of instrumentation and measurement device design, this book employs comprehensive electronic device and circuit specifications to design custom defined-accuracy instrumentation and computer interfacing systems with definitive accountability to assist critical applications. Advanced Instrumentation and Computer I/O Design, Second Edition begins by developing an understanding of sensor-amplifier-filter signal conditioning design methods, enabled by device and system mathematical models, to achieve conditioned signal accuracies of interest and follow-on computer data conversion and reconstruction functions. Providing complete automated system design analyses that employ the Analysis Suite computer-assisted engineering spreadsheet, the book then expands these performance accountability methods coordinated with versatile and evolving hierarchical subprocesses and control architectures to overcome difficult contemporary process automation challenges combining both quantitative and qualitative methods. It then concludes with a taxonomy of computer interfaces and standards including telemetry, virtual, and analytical instrumentation. Advanced Instrumentation and Computer I/O Design, Second Edition offers: Updated chapters incorporating the latest electronic devices and system applications Improved accuracy of the design models between their theoretical derivations and actual measured results End-of-chapter problems based on actual industry, laboratory, and aerospace system designs Multiple real-world case studies performed for technology enterprises Instrumentation Analysis Suite for computer I/O system design A separate solutions manual Written for international engineering practitioners who design and implement industrial process control systems, laboratory instrumentation, medical electronics, telecommunications, and embedded computer systems, this book will also prove useful for upper-undergraduate and graduate-level electrical engineering students.
PATRICK H. GARRETT, PhD, P.E., is an Associate Professor of Electrical and Computer Engineering at the University of Cincinnati, where he has developed courses in manufacturing, controls, and process instrumentation. The author of several internationally adopted textbooks on instrumentation and process control, he continues to be involved in long-term research projects, for both government and private sectors, focused on performance advancement of information-intensive real-time systems. A member of the IEEE, Dr. Garrett has been an American Council on Education reviewer, a White House intern, and visiting scientist at the Air Force Materials & Manufacturing Directorate.
Preface
1 Thermal, Mechanical, Quantum, and Analytical Sensors 1
1-0 Introduction 1
1-1 Instrumentation Error Interpretation 1
1-2 Temperature Sensors 4
1-3 Mechanical Sensors 7
1-4 Quantum Sensors 13
1-5 Analytical Sensors 18
Problems 25
Bibliography 27
2 Instrumentation Amplifiers and Parameter 29
2-0 Introduction 29
2-1 Device Temperature Characteristics 30
2-2 Differential Amplifiers 31
2-3 Operational Amplifiers 35
2-4 Instrumentation Amplifiers 39
2-5 Amplifier Parameter Error Evaluation 47
Problems 50
Bibliography 51
3 Filters for Measurement Signals 53
3-0 Introduction 53
3-1 Bandlimiting Instrumentation Filters 53
3-2 Active Filter Design 58
3-3 Filter Error Evaluation 68
3-4 Bandpass Instumentation Filters 73
Problems 82
Bibliography 83
4 Signal Conditioning Design and Instumentation Errors 85
4-0 Introduction 85
4-1 Low-Level Signal Acquisition 85
4-2 Signal Quality in Random and Coherent Interference 89
4-3 DC, Sinusoidal, and Harmonic Signal Conditioning 95
4-4 Analog Signal Processing 101
Problems 106
Bibliography 108
5 Data Conversion Devices and Parameters 109
5-0 Introduction 109
5-1 Analog Multiplexers 109
5-2 Sample Hold Devices 112
5-3 Digital-to-Analog Converters 115
5-4 Analog-to-Digital Converters 121
Problems 136
Bibliography 136
6 Sampled Data and Reconstruction with Intersample Error 139
6-0 Introduction 139
6-1 Sampled Data Theory 140
6-2 Aliasing of Signal and Noise 144
6-3 Sampled Data Intersample and Aperture Errors 150
6-4 Output Signal Interpolation Functions 156
6-5 Video Sampling and Reconstruction 165
Problems 166
Bibliography 167
7 Instrumentation Analysis Suite, Error Propagation, Sensor Fusion, and Interfaces 169
7-0 Introduction 169
7-1 Aerospace Computer I/O Design With Analysis Suite 169
7-2 Measurement Error Propagation in Example Airflow Process 183
7-3 Homogenerous and Heterogeneous Sensor Fusion 186
7-4 Instrumentation Integration and Interfaces 192
Problems 199
Bibliography 202
Appendix 203
8 Instumented Processes Decision and Control 207
8-0 Introduction 207
8-1 Process Apparatus Controlled Variability and Tuning 209
8-2 Model Reference to Remodeling Adaptive Control 220
8-3 Empirical to Intelligent Process Decision Systems 229
Problems 240
Bibliography 243
9 Process Automation Applications 245
9-0 Introduction 245
9-1 Ashby Map Guided Equiaxed Titanium Forging 246
9-2 Z-Fit Modeled Spectral Control of Exfoliated Nanocomposites 247
9-3 Superconductor Production with Adaptive Decision and Control 250
9-4 Neural Network Attenuated Steel Annealing Hardness Variance 259
9-5 Ultralinear Molecular Beam Epitaxy Flux Calibration 263
Bibliography 269
Index 271
CHAPTER 2
Instrumentation Amplifiers and Parameter Errors
2-0 INTRODUCTION
This chapter is concerned with the devices and circuits that comprise the electronic amplifiers of linear systems utilized in instrumentation applications. This development begins with the temperature limitations of semiconductor devices, which is then extended to differential amplifiers and an analysis of their parameters for understanding operational amplifiers from the perspective of their internal stages. This includes gain–bandwidth–phase stability relationships and interactions in multiple amplifier systems. An understanding of the capabilities and limitations of operational amplifiers is a prerequisite to understanding instrumentation amplifiers.
An instrumentation amplifier usually is the first electronic device encountered in a signal acquisition system, and in large part it is responsible for the ultimate data accuracy attainable. Present instrumentation amplifiers are shown to possess sufficient linearity, common-mode rejection ratio (CMRR), low noise, and precision for total errors in the microvolt range. Five categories of instrumentation amplifier applications are described with representative contemporary devices and parameters provided for each. These parameters are then utilized to compare amplifier circuits for implementations ranging from low input voltage error to wide bandwidth applications.
2-1 DEVICE TEMPERATURE CHARACTERISTICS
The elemental semiconductor device in electronic circuits is the pn junction; among its forms are diodes and bipolar and FET transistors. The availability of free carriers that result in current flow in a semiconductor is a direct function of the applied thermal energy. At room temperature, taken as 20°C (293°K above absolute zero), there is abundant energy to liberate the valence electrons of a semiconductor. These carriers are then free to drift under the influence of an applied potential. The magnitude of this current flow is essentially a function of the thermal energy instead of the applied voltage and accounts for the negative temperature coefficient exhibited by semiconductor devices (increasing current with increasing temperature).
The primary variation associated with reverse-biased pn junctions is the change in reverse saturation current Is with temperature. Is is determined by device geometry and doping with a variation of 7% per degree centrigrade both in silicon and germanium, doubling with every 10°C rise. This behavior is shown by Figure 2-1 and Equation (2-1). Forward-biased pn junctions exhibit a decreasing junction potential, having an expected value of −2.0 mV per degree centigrade rise, as defined by Equation (2-2). The dV/dT temperature variation is shown to be the difference between the forward-junction potential V and the temperature of Is. This relationship is the source of the voltage offset drift with temperature exhibited by semiconductor devices. The volt-equivalent of temperature is an empirical model in both equations, defined as VT = (273°K + T°C)/11,600, having an expected value of 25 mV at room temperature.
Figure 2-1. pn Junction temperature dependence.
2-2 DIFFERENTIAL AMPLIFIERS
The first electronic circuit encountered by a sensor signal in a data acquisition system typically is the differential input stage of an instrumentation amplifier. The balanced bipolar differential amplifier of Figure 2-2(a) is an important circuit used in many linear applications. Operation with symmetrical plus minus power supplies as shown results in the input base terminals being at 0 V under quiescent conditions. Due to the interaction that occurs in this emitter-coupled circuit, the algebraic difference signal applied across the input terminals is the effective drive signal, whereas equally applied input signals are cancelled by the symmetry of the circuit. With reference to a single-ended output Vo2, amplifier Q1 may be considered an emitter follower with the constant-current source an emitter load impedance in the megohm range. This results in a noninverting voltage gain for Q1 very close to unity (0.99999), that is, emitter coupled to the common-emitter amplifer Q2, where Q2 provides the differential voltage gain Avdiff by Equation (2-3).
Figure 2-2. Differential dc amplifier and transfer curves. hfe = 100, hie = 1k, hoe = 10−6 mho.
Differential amplifier volt-ampere transfer curves are defined by Figure 2-2(b), where the abscissa represents normalized differential input voltage (V1 − V2)/VT. The transfer characteristics are shown to be linear about the operating point corresponding to an input-voltage swing of approximately 50 mV (± 1 VT unit). The maximum slope of the curves occurs at the operating point of Io/2, and defines the effective transconductance of the circuit as ΔIc/Δ(V1 − V2)/VT. The value of this slope is determined by the total current Io of Equation (2-4). Differential input impedances Rdiff and Rcm are defined by Equations (2-5) and (2-6). The effective voltage gain cancellation between the noninverting and inverting inputs is represented by the common-mode gain Avcm of Equation (2-7). The ratio of differential gain to common-mode gain also provides a dimensionless figure of merit for differential amplifiers as the common-mode rejection ratio (CMRR). This is expressed by Equation (2-8), having a typical value of 105.
The performance of operational and instrumentation amplifiers is largely determined by the errors associated with their input stages. It is convention to express these errors as voltage and current offset values, including their variation with temperature with respect to the input terminals, so that various amplifiers may be compared on the same basis. In this manner, factors such as the choice of gain and the amplification of the error values do not result in confusion concerning their true magnitude. It is also notable that the symmetry provided by the differential amplifier circuit primarily serves to offer excellent dc stability and the minimization of input errors in comparison with those of nondifferential amplifiers.
The base-emitter voltages of a group of the same type of bipolar transistors at the same collector current are typically only within 20 mV. Operation of a differential pair with a constant-current emitter sink as shown in Figure 2-2(a), however, provides a Vbe match of Vos of about 1 mV. Equation (2-9) defines this input offset voltage and its dependence on the mismatch in reverse saturation current Is between the differential pair. This mismatch is a consequence of variations in doping and geometry of the devices during their manufacture. Offset adjustment is frequently provided by the introduction of an external trimpot RVos in the emitter circuit shown in Figure 2-4. That permits the incremental addition and subtraction of emitter voltage to drop to 0 Vos without disturbing the emitter current Io.
Of greater concern is the offset voltage drift with temperature dVos/dT. This input error results from mistracking of Vbe1 and Vbe2, described by Equation (2-10), and is difficult to compensate. However, the differential circuit reduces dVos/dT to 2μV/°C from the −2mV/°C for a single device of Equation (2-2), for an improvement factor of 1/1000. By way of comparison, JFET differential circuit Vos is larger and on the order of 10 mV, and dVos/dT typically 5μV/°C. Minimization of these errors is achieved by matching the device pinch-off voltage parameter. Bipolar input bias-current offset and offset-current drift are described by Equations (2-11) and (2-12), and have their genesis in a mismatch in current gain (hfe1 ≠ hfe2). JFET devices intrinsically offer lower input bias currents and offset-current errors in differential circuits, which is advantageous for the amplification of current-type sensor signals. However, the rate of increase of JFET bias current with temperature is exponential, as illustrated in Figure 2-3, and results in values that exceed bipolar input bias currents at temperatures beyond 100°C, thereby limiting the utility of JFET differential amplifiers above this temperature.
Figure 2-3. Transistor input current temperature drift.
2-3 OPERATIONAL AMPLIFIERS
Most operational amplifiers are of similar design, as described by Figure 2-4, and consist of a differential-input stage cascaded with a high-gain interstage followed by a power-output stage. Operational amplifiers are characterized by very high gain at dc and a uniform rolloff in this gain with frequency. This enables these devices to accept feedback from arbitrary networks with high stability and simultaneous dc and ac amplification. Consequently, such networks can accurately impart their characteristics to electronic systems with negligible degradation. The earliest integrated-circuit amplifier was offered in 1963 by Texas...
Erscheint lt. Verlag | 19.3.2013 |
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Sprache | englisch |
Themenwelt | Technik ► Elektrotechnik / Energietechnik |
Schlagworte | Control Systems Technology • Electrical & Electronics Engineering • Elektrotechnik • Elektrotechnik u. Elektronik • Industrial Engineering • Industrial Engineering / Manufacturing • Industrielle Verfahrenstechnik • Produktion i. d. Industriellen Verfahrenstechnik • Regelungstechnik • Sensoren, Instrumente u. Messung • Sensors, Instrumentation & Measurement |
ISBN-10 | 1-118-50479-8 / 1118504798 |
ISBN-13 | 978-1-118-50479-6 / 9781118504796 |
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