Bøger i Advances in Industrial Control serien

Various topics are covered including the theory of seam tracking, details of the sub-systems comprising the intelligent seam tracker and the operation of the seam tracking system with coordinated interaction amongst the various sub-systems.

Identification of Multivariable Industrial Processes presents a unified approach to multivariable industrial process identification. It concentrates on industrial processes with reference to model applications. This publication is intended to fill the gap between modern systems and control theory and industrial application.

Manual flight control system design for fighter aircraft is one of the most demanding problems in automatic control. Robust Multivariable Flight Control provides the background, theory and examples for full envelope manual flight control system design.

Many large-scale processes like refineries or power generation plant are constructed using the multi-vendor system and a main co-ordinating engineering contractor. Consequently, future comp~titive gains in large-scale industrial systems will arise from the closer and optimised global integration of the process sub-units.

This book reports the development of fault diagnosis and fault-tolerant control methods. It discusses the state-of-the-art in both theory and practice and thoroughly details three real-world industrial applications.

In this book Higher Order Statistical theory is used to develop indices for detecting and quantifying signal non-Gaussianity and nonlinearity. These indices are used to diagnose the causes of poor control loop performance.

This monograph presents new methodologies to improve power plants' efficiency, by using automatic control algorithms. This will lead to an improvement in companies' profit and also in the quality of their final product. A trans-Atlantic combination of authors ensures an unusually wide range of perspectives.

Foresight in an engineering business can make the difference between success and failure, and can be vital to the effective control of industrial systems. The authors of this book harness the power of intelligent technologies individually and in combination.

Modern industrial processes and systems require adaptable advanced control protocols able to deal with circumstances demanding "judgement" rather than simple "yes/no", "on/off" responses: circumstances where a linguistic description is often more relevant than a cut-and-dried numerical one.

This text offers the material necessary to understand servo control in automation. It begins with a macroscopic view, treating drives and control as parts of a single system, before it pursues a detailed discussion of the major components of servo control.

This book offers efficient designs for the implementation of controllers on underactuated ocean vessels as well as numerical simulations and real-time implementations of the control systems designed on a scale-model ship for each controller.

It is a valuable contribution to the task of filling the theory and practice gap that exists in Process Control. It provides a tutorial introduction to Generic Model Control and assists them in applying modern control methods to their processes.

Due to the complexity of the process operation and the requirements for high quality, low cost, safety and the protection of the environment, an increasing number of pulp and paper companies are in need of an advanced control technology to improve their process operation.

Artificial intelligence can facilitate the design process by capturing much of the knowledge and some of the skill of the designer into an intelligent design tool, leaving the designer free to concentrate more on the creativity aspect of the design.

Written in a self-contained tutorial fashion, this monograph successfully brings the latest theoretical advances in the design of robust adaptive systems to the realm of industrial applications.

This book examines steps and concerns in the design of estimation and control algorithms for induction motors. It compares various important control algorithms on a single type of motor so that advantages and disadvantages of each can be clearly seen.

Actuator saturation is probably the most frequent nonlinearity encountered in control applications. Input saturation leads to controller windup, removable by structural modification during compensator realization and plant windup which calls for additional dynamics.

Fractional-order Systems and Controls provides a basic understanding of FOC concepts and methods. Readers will learn the broad range of uses of FOC in control systems through a variety of real-world problems in fields like mechatronics, civil engineering and biological systems.

This book examines differences in two main brake system technologies: hydraulically activated and electromechanical brakes. It offers the reader a structured and detailed treatment of the uses of control in various aspects of modern automotive braking systems.

Internet-based Control Systems addresses the challenges involved with using the Internet for remote control and monitoring of industrial plants, as well as its use in domestic appliances, medicine and education. The text discusses requirement specification, architecture selection and user-interface design.

Tandem Cold Metal Rolling Mill Control explores an advanced method for control of tandem cold metal rolling processes, based on the emerging state-dependent Riccati equation technique. After a short history of tandem cold rolling, various types of cold rolling processes are described.

Nonlinear Control of Vehicles and Robots develops a unified approach to the dynamic modeling of robots in terrestrial, aerial and marine environments. Formation control of ground robots and ships is discussed. The book also deals with the modeling and control of robotic systems in the presence of non-smooth nonlinearities.

This book reviews the theoretical fundamentals of grey-box identification and puts the spotlight on MoCaVa, a MATLAB-compatible software tool, for facilitating the procedure of effective grey-box identification. It demonstrates the application of MoCaVa using two case studies drawn from the paper and steel industries.

This book demonstrates the structural characteristics of the optimal control policies in various stochastic supply chains and to shows how to make use of these characteristics to construct easy-to-operate sub-optimal policies.

This book integrates control design techniques with concepts from nonlinear control theory and multi-agent systems to produce a framework for the formation control of a class of under-actuated aerial vehicles capable of vertical take-off and landing.

Process-monitoring techniques that have been most effective in practice are based on models constructed almost entirely from process data. The goal of this book is to present the theoretical background and practical techniques for data-driven process monitoring.

The Chemical Batch Reactor is aimed at tackling the above problems from a blending of academic and industrial perspectives.

This book is a practical guide to the application of control benchmarking to real, complex, industrial processes. The variety of industrial case studies gives the benchmarking ideas presented a robust real-world attitude. The book deals with control engineering principles and economic and management aspects of benchmarking.

This book explores the research and development of fully-functional miniature rotorcraft unmanned aerial vehicles (UAV). It also provides a complete treatment of their design and examines possible future research directions.

Passivity and associated stability conditions form one of the cornerstones in control theory and have begun to be applied in process control. In this book, passivity-based developments in all areas of control theory are addressed systematically for the first time.