Overview
- Provides the reader with a complete set of proven theoretical concepts and practical tools for the development of industrial optimized adaptive control systems
- Demonstrations on regularly-used benchmark applications allow comparison with other forms of control under consideration
- Gives the reader confidence in the technology discussed via individual sections on conceptual knowledge, technical realization, and practical experimentation
- Includes supplementary material: sn.pub/extras
Part of the book series: Advances in Industrial Control (AIC)
Access this book
Tax calculation will be finalised at checkout
Other ways to access
Table of contents (15 chapters)
-
Introduction and Fundamentals of Optimized Adaptive Controllers and Systems
-
Design of the Driver Block: Basic and Extended Predictive Control Strategies
-
Design of the Adaptation Mechanism: Synthesis of the Adaptive System
-
Stability Theory of Adaptive Predictive Control
-
Benchmark Applications of Predictive, Adaptive Predictive and Optimized Adaptive Control
Keywords
About this book
This book is a simple and didactic account of the developments and practical applications of predictive, adaptive predictive, and optimized adaptive control from a perspective of stability, including the latest methodology of adaptive predictive expert (ADEX) control.
ADEX Optimized Adaptive Control Systems is divided into six parts, with exercises and real-time simulations provided for the reader as appropriate. The text begins with the conceptual and intuitive knowledge of the technology and derives the stability conditions to be verified by the driver block and the adaptive mechanism of the optimized adaptive controller to guaranty the desired control performance. The second and third parts present strategic considerations of predictive control and related adaptive systems necessary for the proper design of driver block and adaptive mechanism and thence their technical realization. The authors then proceed to detail the stability theory that supports predictive, adaptive predictive and optimized adaptive control methodologies. Benchmark applications of these methodologies (distillation column and pulp-factory bleaching plant) are treated next with a focus on practical implementation issues. The final part of the book describes ADEX platforms and illustrates their use in the design and implementation of optimized adaptive control systems to three different challenging-to-control industrial processes:
- waste-water treatment;
- sulfur recovery; and
- temperature control of superheated steam in coal-fired power generation.
The presentation is completed by a number of appendices containing technical background associated with the main text including a manual for the ADEX COP platform developed by the first author to exploit the capabilities of adaptive predictive control in real plants.
ADEX Optimized Adaptive Control Systems provides practicing process control engineers with a multivariable optimal control solution which is adaptive and resistant to perturbation and the effects of noise. Its pedagogical features also facilitate its use as a teaching tool for formal university and Internet-based open-education-type graduate courses in practical optimal adaptive control and for self-study.
Authors and Affiliations
About the authors
Bibliographic Information
Book Title: ADEX Optimized Adaptive Controllers and Systems
Book Subtitle: From Research to Industrial Practice
Authors: Juan M. Martín-Sánchez, José Rodellar
Series Title: Advances in Industrial Control
DOI: https://doi.org/10.1007/978-3-319-09794-7
Publisher: Springer Cham
eBook Packages: Engineering, Engineering (R0)
Copyright Information: Springer International Publishing Switzerland 2015
Hardcover ISBN: 978-3-319-09793-0Published: 14 November 2014
Softcover ISBN: 978-3-319-35791-1Published: 23 August 2016
eBook ISBN: 978-3-319-09794-7Published: 05 November 2014
Series ISSN: 1430-9491
Series E-ISSN: 2193-1577
Edition Number: 1
Number of Pages: XXXI, 447
Number of Illustrations: 74 b/w illustrations, 53 illustrations in colour
Topics: Control, Robotics, Mechatronics, Industrial Chemistry/Chemical Engineering