Название: Electronic Instrumentation with MATLAB
Автор: John Okyere Attia
Издательство: CRC Press
Год: 2027
Страниц: 302
Язык: английский
Формат: True PDF, True EPUB
Размер: 14.8 MB

Electronic instrumentation systems are electronic systems for implementing specific desired functions such as measurement, control, and monitoring. This instrumentation system will normally have a measured system, an input transducer, signal-conditioning circuits, and an output transducer. The measured system is the physical quantity that is measured by the instrumentation system. It can be the temperature inside a room, the force on a structure, and the flow of a liquid in a pipe. A transducer converts one form of energy to another. Examples of transducers are displacement, force, pressure, temperature, and flow velocity. The electrical output from a transducer is desirable because of the relative ease with which electrical signals can be conditioned, displayed, or stored. Signal-conditioning circuits are used to modify the output signal of the transducer to allow the signal to be in a form acceptable for the output stage. The signal conditioning stage may include circuits for amplification, filtering, and analog-to-digital conversions. Normally, the output of an instrumentation system should be in a form that can easily be perceived by an observer. In this book, a sensor is termed as a device that senses a physical quantity, while a transducer converts energy from one form to another. This book discusses sensors and conditioning circuits for electronic instrumentation.

MATLAB is primarily a tool for matrix computations. It has numerous functions for data processing and analysis. In addition, MATLAB has a rich set of plotting capabilities, which are integrated into the MATLAB package. Furthermore, since Matlab is also a programming environment, a user can extend MATLAB’s functional capabilities by writing new modules. In this book, MATLAB is used to (i) perform computations associated with instrumentation systems, (ii) perform curve fitting of data obtained from instrumentation sensors, (iii) perform statistical analysis of data obtained from instrumentation systems, (iv) plot relationships between variables associated with electronic instrumentation systems, and (v) identify the parameters that characterize various sensors.

The goals of writing this book are to (i) provide the reader with the understanding of conditioning circuits for electronic instrumentation, (ii) describe the operation of popular sensors of instrumentation systems, (iii) use Matlab for computation, plotting, obtaining statistical information from instrumentation systems, and identifying parameters of sensors, (iv) provide examples of electronic instrumentation systems, (v) introduce popular sensors used in IoT to the reader, and (vi) empower engineering students and practitioners to explore the characteristics of sensors and electronic conditioning circuits through end-of-chapter problems.

This book is unique. It is the first time that MATLAB’s computational powers are being used to describe and explore various aspects of electronic instrumentation (electronic signal-conditioning circuits and instrumentation sensors). MATLAB is integrated throughout this book for computations, plotting, curve fitting, statistical analysis, and parameter identification. In addition, it is the first time that an electronic instrumentation book is written that discusses the popular sensors of the IoT applications.

MATLAB is used for computations, plotting, curve fitting, statistical analysis and parameters identification of instrumentation systems.
An in-depth presentation of signals conditioning circuits for instrumentation sensors, such as amplifiers, filters, analog to digital conversion circuits is included.
There are broad descriptions of the underlying principles of temperature, displacement, pressure, flow and electro-optical sensors. In addition, the book discusses popular sensors for IoT applications.
Several worked examples for solving electronic instrumentation problems by using MATLAB are provided. The examples help the reader to understand the operations of signal conditioning circuits, and explore the characteristics of various instrumentation sensors.
The book has end-of-chapter problems that test and help solidify the reader’s understanding of the material.

The book can be used by students, professional engineers and technicians who want knowledge of signal conditioning circuits used in instrumentation systems, and detailed description of instrumentation sensors.

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