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Observers in Control Systems - A Practical Guide (Hardcover)
Loot Price: R2,564
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Observers in Control Systems - A Practical Guide (Hardcover)
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Observers are digital algorithms that combine sensor outputs with
knowledge of the system to provide results superior to traditional
structures, which rely wholly on sensors. Observers have been used
in selected industries for years, but most books explain them with
complex mathematics. This book uses intuitive discussion, software
experiments, and supporting analysis to explain the advantages and
disadvantages of observers. If you are working in controls and want
to improve your control systems, observers could be the technology
you need and this book will give you a clear, thorough explanation
of how they work and how to use them.
Control systems and devices have become the most essential part of
nearly all mechanical systems, machines, devices and manufacturing
systems throughout the world. Increasingly the efficiency of
production, the reliability of output and increased energy savings
are a direct result of the quality and deployment of the control
system. A modern and essential tool within the engineer's kit is
the Observer which helps improve the performance and reduce the
cost of these systems.
George Ellis is the author of the highly successful Control System
Design Guide (2nd Edition). Unlike most controls books, which are
written by control theorists and academics, Ellis is a leading
engineer, designer, author and lecturer working in industry
directly with the users of industrial motion control systems.
Observers in Control Systems is written for all professional
engineers and is designed to be utilized without an in-depth
background in control theory. This is a "real-world" book which
will demonstrate how observers work and how they can improve your
control system.It also shows how observers operate when conditions
are not ideal and teaches the reader how to quickly tune an
observer in a working system.
Software Available on line: A free updated and enhanced version of
the author's popular Visual ModelQ allows the reader to practice
the concepts with Visual ModelQ models on a PC. Based on a virtual
laboratory, all key topics are demonstrated with more than twenty
control system models. The models are written in Visual ModelQ, and
are available on the Internet to every reader with a PC.
* Teaches observers and Kalman filters from an intuitive
perspective
* Explains how to reduce control system susceptibility to noise
* Shows how to design an adaptive controller based on estimating
parameter variation using observers
Shows how to improve a control system's ability to reject
disturbances
* Key topics are demonstrated with PC-based models of control
systems. The models are written in both MatLab(R) and ModelQ;
models are available free of charge
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