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

    • £109.99
    • £109.99

Publisher Description

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
Professional & Technical
RELEASED
2009
13 October
LANGUAGE
EN
English
LENGTH
421
Pages
PUBLISHER
Springer London
SIZE
10.3
MB
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
Integral and Inverse Reinforcement Learning for Optimal Control Systems and Games Integral and Inverse Reinforcement Learning for Optimal Control Systems and Games
2024