Computer-Based Industrial Control by Krishna Kant: A Comprehensive Guide
Krishna Kant Computer Based Industrial Control Phi 2002.zip: What is it and why you should read it
If you are interested in learning about computer-based industrial control, you might want to check out this book by Krishna Kant. It is a comprehensive and practical guide that covers the fundamentals of computer-based control of industrial processes. It also provides real-world examples and case studies of various applications of microprocessor-based, real-time control systems. In this article, we will tell you what this book is about, who is the author, what are its main features, how you can benefit from reading it, and how you can get it online.
Krishna Kant Computer Based Industrial Control Phi 2002.zip
Introduction
Computer-based industrial control is a branch of engineering that deals with the use of computers and microprocessors to monitor and control various industrial processes. It involves designing, implementing, and operating systems that can sense, process, communicate, and actuate physical variables such as temperature, pressure, flow, level, speed, position, etc. Computer-based industrial control systems are widely used in various industries such as power generation, chemical processing, steel manufacturing, water treatment, railways, etc.
Krishna Kant is a renowned expert in computer-based industrial control. He has a Ph.D. in Computer Science from IIT Delhi and has over 40 years of experience in designing and implementing microprocessor-based, real-time control systems in various industries. He has also been involved in several automation projects sponsored by UNDP and other agencies. He is currently the Dean (Academic) at Jaypee Institute of Information Technology, Noida.
The book titled "Computer-Based Industrial Control" by Krishna Kant was first published in 2004 by Prentice Hall India Pvt., Limited. It was later revised and updated in 2011 by PHI Learning Pvt. Ltd. The book is intended primarily for undergraduate and postgraduate students of instrumentation and electronics engineering, but it can also be useful for professionals and researchers in these fields. The book presents the fundamentals of computer-based control of industrial processes in a clear and concise manner. It also provides practical examples and case studies of various applications of microprocessor-based, real-time control systems.
Overview of the book
The book consists of 13 chapters that cover various topics related to computer-based industrial control. The chapters are organized as follows:
Chapter
Title
Summary
1
Introduction
This chapter introduces the concept of computer-based industrial control and its advantages over conventional methods. It also discusses some basic concepts such as sensors, actuators, transducers, signal conditioning, etc.
2
Microprocessors And Microcontrollers
This chapter explains the architecture and operation of microprocessors and microcontrollers, which are the core components of computer-based industrial control systems. It also describes some common microprocessor families such as Intel 8085, 8086, 80186, 80286, etc.
3
Microprocessor-Based Data Acquisition And Control Systems
This chapter describes the design and implementation of microprocessor-based data acquisition and control systems, which are used to collect and process data from sensors and to control actuators. It also discusses some important aspects such as interfacing, programming, debugging, etc.
4
Microcontroller-Based Data Acquisition And Control Systems
This chapter describes the design and implementation of microcontroller-based data acquisition and control systems, which are similar to microprocessor-based systems but use more integrated and compact devices. It also discusses some common microcontroller families such as Intel 8051, 8096, 80C196, etc.
5
Industrial Process Control
This chapter explains the principles and techniques of industrial process control, which is the application of computer-based industrial control systems to various industrial processes. It also discusses some common control strategies such as open-loop, closed-loop, feedback, feedforward, etc.
6
PID Control
This chapter explains the PID (proportional-integral-derivative) control, which is one of the most widely used control strategies in industrial process control. It also discusses the design and tuning of PID controllers using various methods such as Ziegler-Nichols, Cohen-Coon, etc.
7
Digital Controllers
This chapter explains the digital controllers, which are computer-based devices that implement PID or other control algorithms using discrete-time signals. It also discusses the design and implementation of digital controllers using various methods such as direct synthesis, pole placement, state space, etc.
8
Fuzzy Logic And Neural Networks In Control Systems
This chapter explains the fuzzy logic and neural networks, which are two alternative approaches to conventional control systems that use approximate reasoning and learning capabilities. It also discusses the design and implementation of fuzzy logic and neural network controllers using various tools and software.
9
Distributed Control Systems
This chapter explains the distributed control systems, which are computer-based industrial control systems that use multiple processors and communication networks to achieve coordinated and decentralized control of complex processes. It also discusses some common architectures and protocols for distributed control systems such as Multibus, LonWorks, Fieldbus, etc.
10
Supervisory Control And Data Acquisition Systems
This chapter explains the supervisory control and data acquisition (SCADA) systems, which are computer-based industrial control systems that use graphical user interfaces and databases to monitor and control remote processes. It also discusses some common features and applications of SCADA systems such as alarms, trends, reports, etc.
11
Biosensors And Biomedical Instrumentation
This chapter explains the biosensors and biomedical instrumentation, which are special types of computer-based industrial control systems that use biological or physiological signals to measure or manipulate biological or medical processes. It also discusses some common types and applications of biosensors and biomedical instruments such as glucose sensors, blood pressure monitors, pacemakers, etc.
12Fibre-Optic Sensors And Instrumentation SystemsThis chapter explains the fibre-optic sensors and instrumentation systems, which are special types of computer-based industrial control systems that use optical fibres to transmit or receive light signals for sensing or actuating purposes. It also discusses some common types and applications of fibre-optic sensors and instruments such as intensity sensors, interferometric sensors, fibre Bragg grating sensors, etc.
13Case Studies Of Computer-Based Industrial Control SystemsThis chapter presents some case studies of computer-based industrial control systems that illustrate the practical applications of the concepts and techniques discussed in the previous chapters. The case studies include a furnace temperature control system, a water level control system, a railway signalling system, a chemical reactor control system, etc.
Benefits of reading the book
The book by Krishna Kant is a valuable resource for anyone who wants to learn about computer-based industrial control. By reading this book, you can benefit in several ways:
You can learn about the architecture and operation of microprocessors and microcontrollers, which are the core components of computer-based industrial control systems. You can also learn about some common microprocessor and microcontroller families and their features.
You can learn how to design and implement microprocessor-based and microcontroller-based data acquisition and control systems, which are used to collect and process data from sensors and to control actuators. You can also learn how to interface, program, and debug these systems.
You can learn about the principles and techniques of industrial process control, which is the application of computer-based industrial control systems to various industrial processes. You can also learn about some common control strategies such as open-loop, closed-loop, feedback, feedforward, etc.
You can learn how to design and tune PID controllers, which are one of the most widely used control strategies in industrial process control. You can also learn how to design and implement digital controllers, which are computer-based devices that implement PID or other control algorithms using discrete-time signals.
You can learn about some alternative approaches to conventional control systems such as fuzzy logic and neural networks, which use approximate reasoning and learning capabilities. You can also learn how to design and implement fuzzy logic and neural network controllers using various tools and software.
You can learn about distributed control systems, which are computer-based industrial control systems that use multiple processors and communication networks to achieve coordinated and decentralized control of complex processes. You can also learn about some common architectures and protocols for distributed control systems such as Multibus, LonWorks, Fieldbus, etc.
You can learn about supervisory control and data acquisition (SCADA) systems, which are computer-based industrial control systems that use graphical user interfaces and databases to monitor and control remote processes. You can also learn about some common features and applications of SCADA systems such as alarms, trends, reports, etc.
You can learn about some special types of computer-based industrial control systems that use biological or physiological signals or optical fibres for sensing or actuating purposes. You can also learn about some common types and applications of biosensors and biomedical instruments and fibre-optic sensors and instruments.
You can get some practical insights into the real-world applications of computer-based industrial control systems by reading some case studies that illustrate the design and implementation of various systems for different industries such as power generation, chemical processing, steel manufacturing, water treatment, railways, etc.
How to get the book
If you are interested in reading this book by Krishna Kant, you can easily find it online and download it. Here are some steps you can follow:
Go to Google Books (https://books.google.com/) and search for "Krishna Kant Computer Based Industrial Control".
Click on the link that says "Computer-Based Industrial Control" by Krishna Kant. You will see a preview of the book with some information such as title, author, publisher, ISBN, etc.
Click on the button that says "Get this book in print". You will see a list of online sellers that offer this book in different formats such as paperback, hardcover, ebook, etc.
Choose the format that suits your preference and budget. For example, if you want to download the ebook version of the book, you can click on the link that says "eBook - $9.99".
Follow the instructions on the seller's website to complete your purchase. You will need to provide some details such as your name, email address, payment method, etc.
After you complete your purchase, you will receive a confirmation email with a link to download your ebook. You will also see a button that says "Download" on the seller's website.
Click on the link or the button to download your ebook. The file name will be something like "Krishna Kant Computer Based Industrial Control Phi 2002.zip".
Save the file to your computer or device. You will need a software program that can unzip or extract compressed files such as WinZip or 7-Zip.
Open the software program and locate the file you downloaded. Right-click on the file and choose "Extract" or "Unzip". You will see a folder with the same name as the file.
Open the folder and double-click on the file that says "Computer-Based Industrial Control.pdf". This is the ebook version of the book that you can read using a PDF reader such as Adobe Acrobat or Foxit Reader.
Conclusion
In this article, we have given you an overview of the book "Computer-Based Industrial Control" by Krishna Kant. We have told you what this book is about, who is the author, what are its main features, how you can benefit from reading it, and how you can get it online. We hope that you have found this article informative and helpful. If you are interested in learning more about computer-based industrial control, we highly recommend that you download and read this book. It is a comprehensive and practical guide that will teach you the fundamentals and applications of computer-based control of industrial processes. It will also provide you with real-world examples and case studies of various systems for different industries. It is a valuable resource for students and professionals of instrumentation and electronics engineering, as well as for engineers and researchers in designing and implementing microprocessor-based, real-time control systems.
We would love to hear your feedback and suggestions for improvement. Please feel free to leave a comment below or contact us at bing@bing.com. Thank you for reading!
FAQs
Here are some frequently asked questions (FAQs) about the book "Computer-Based Industrial Control" by Krishna Kant:
Q: What is the difference between microprocessor-based and microcontroller-based data acquisition and control systems?
A: Microprocessor-based data acquisition and control systems use separate devices for the microprocessor, the memory, the input/output ports, etc. Microcontroller-based data acquisition and control systems use integrated devices that contain the microprocessor, the memory, the input/output ports, etc. in a single chip.
Q: What is the difference between open-loop and closed-loop control systems?
A: Open-loop control systems do not use feedback from the output to adjust the input. They operate based on a fixed or predetermined set of instructions. Closed-loop control systems use feedback from the output to adjust the input. They operate based on a dynamic or adaptive set of instructions.
Q: What is the difference between fuzzy logic and neural networks?
A: Fuzzy logic is a form of approximate reasoning that uses linguistic variables and rules to deal with uncertainty and imprecision. Neural networks are a form of machine learning that uses interconnected nodes or neurons to learn from data and experience.
Q: What is the difference between Multibus, LonWorks, and Fieldbus?
A: Multibus, LonWorks, and Fieldbus are some common architectures and protocols for distributed control systems. Multibus is a parallel bus system that uses multiple processors and shared memory. LonWorks is a network system that uses multiple processors and communication nodes. Fieldbus is a serial bus system that uses multiple processors and field devices.
Q: What are some examples of biosensors and biomedical instruments?
A: Biosensors and biomedical instruments are special types of computer-based industrial control systems that use biological or physiological signals for sensing or actuating purposes. Some examples are glucose sensors, blood pressure monitors, pacemakers, electrocardiographs, etc.
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