Bøger i Advances in Industrial Control serien

This holistic system-oriented view of clutch performance includes a comprehensive description of driveline elements and their operation, a blend of theoretical and experimental approaches, and practical implementation strategies based on Renault prototypes.

This book emphasizes the application of Linear Parameter Varying (LPV) gain scheduling techniques to the control of wind energy conversion systems.

This book offers a complete overview of fault-tolerant flight control techniques. Discussion covers the necessary equations for the modeling of small UAVs, a complete system based on extended Kalman filters, and a nonlinear flight control and guidance system.

This is the first book dedicated to direct continuous-time model identification for 15 years. The CONTSID toolbox discussed in the final chapter gives an overview of developments and practical examples in which MATLAB (R) can be used for direct time-domain identification of continuous-time systems.

This book describes the new framework of SDC system design and provides a comprehensive description of the modelling of controller design tools and their real-time implementation. The reader will learn how to expand their use of stochastic control methods.

The early 21st century has seen a renewed interest in research in the widely-adopted proportional-integral-differential (PID) form of control. Industrial practitioners and manufacturers of control systems with application problems relating to PID will find this to be a practical source of appropriate and advanced solutions.

The early 21st century has seen a renewed interest in research in the widely-adopted proportional-integral-differential (PID) form of control. Industrial practitioners and manufacturers of control systems with application problems relating to PID will find this to be a practical source of appropriate and advanced solutions.

This book develops original control methods for the navigation and hovering flight of an autonomous mini-quad-rotor robotic helicopter. These methods use an imaging system and a combination of inertial and altitude sensors.

This book gives readers a framework of model-based FDI techniques, helping them to become familiar with the basic ideas and schemes in a systematic way. Examples and benchmarks provide a means of practising the ideas and judging the methods described.

This up-to-date book details the basic concepts of many recent developments of nonlinear identification and nonlinear control, and their application to hydraulic servo-systems. It is very application-oriented and provides the reader with detailed working procedures and hints for implementation routines and software tools.

Maximizing reader insights into the latest technical developments and trends involving wind turbine control and monitoring, fault diagnosis, and wind power systems, ¿Wind Turbine Control and Monitoring¿ presents an accessible and straightforward introduction to wind turbines, but also includes an in-depth analysis incorporating illustrations, tables and examples on how to use wind turbine modeling and simulation software.Featuring analysis from leading experts and researchers in the field, the book provides new understanding, methodologies and algorithms of control and monitoring, computer tools for modeling and simulation, and advances the current state-of-the-art on wind turbine monitoring and fault diagnosis; power converter systems; and cooperative & fault-tolerant control systems for maximizing the wind power generation and reducing the maintenance cost.This book is primarily intended for researchers in the field of wind turbines, control, mechatronics and energy; postgraduates in the field of mechanical and electrical engineering; and graduate and senior undergraduate students in engineering wishing to expand their knowledge of wind energy systems. The book will also interest practicing engineers dealing with wind technology who will benefit from the comprehensive coverage of the theoretic control topics, the simplicity of the models and the use of commonly available control algorithms and monitoring techniques.

This book shows how an understanding of system dynamics is crucial to good performance and how that performance can be improved across a plant's operating range by using predictive control. It explains how different controllers can be applied.

MATLAB (R) and Simulink (R) files for all the examples.