Detection and Diagnosis of Stiction in Control Loops Detection and Diagnosis of Stiction in Control Loops
Advances in Industrial Control

Detection and Diagnosis of Stiction in Control Loops

State of the Art and Advanced Methods

    • 119,99 €
    • 119,99 €

Beschreibung des Verlags

The presence of non-linearities, such as stiction and deadband, places limits on the performance of control valves. Indeed, in the process industries, stiction is the most common valve problem, and over the last decade numerous different techniques for overcoming it have been proposed.

Detection and Diagnosis of Stiction in Control Loops represents a comprehensive presentation of these methods, including their principles, assumptions, strengths and drawbacks. Guidelines and working procedures are provided for the implementation of each method and MATLAB®-based software can be downloaded from www.ualberta.ca/~bhuang/stiction-book enabling readers to apply the methods to their own data. Methods for the limitation of stiction effects are proposed within the general context of:

• oscillation detection in control loops;

• stiction detection and diagnosis; and

• stiction quantification and diagnosis of multiple faults.

The state-of-the-art algorithms presented in this book are demonstrated and compared in industrial case studies of diverse origin – chemicals, building, mining, pulp and paper, mineral and metal processing. Industry-based engineers will find the book to be valuable guidance in increasing the performance of their control loops while academic researchers and graduate students interested in control performance and fault detection will discover a wealth of static-friction-related research and useful algorithms.

GENRE
Gewerbe und Technik
ERSCHIENEN
2009
13. Oktober
SPRACHE
EN
Englisch
UMFANG
421
Seiten
VERLAG
Springer London
ANBIETERINFO
Springer Science & Business Media LLC
GRÖSSE
10,3
 MB
Electro-Mechanical Actuators for the More Electric Aircraft Electro-Mechanical Actuators for the More Electric Aircraft
2021
Model-Based Control of Mass–Stiffness–Damping Systems Model-Based Control of Mass–Stiffness–Damping Systems
2025
Optimal Iterative Learning Control Optimal Iterative Learning Control
2025
Control Systems Benchmarks Control Systems Benchmarks
2025
Multicopter Flight Control Multicopter Flight Control
2025
Optimization of Electric-Vehicle Charging Optimization of Electric-Vehicle Charging
2024