Kovacic / Bogdan Fuzzy Controller Design

Theory and Applications
Erscheinungsjahr 2010
ISBN: 978-1-4200-2650-4
Verlag: Taylor & Francis
Format: PDF
Kopierschutz: Adobe DRM (»Systemvoraussetzungen)

E-Book, Englisch, 416 Seiten

Reihe: Automation and Control Engineering

Fuzzy control methods are critical for meeting the demands of complex nonlinear systems. They bestow robust, adaptive, and self-correcting character to complex systems that demand high stability and functionality beyond the capabilities of traditional methods. A thorough treatise on the theory of fuzzy logic control is out of place on the design bench. That is why Fuzzy Controller Design: Theory and Applications offers laboratory- and industry-tested algorithms, techniques, and formulations of real-world problems for immediate implementation.

With surgical precision, the authors carefully select the fundamental elements of fuzzy logic control theory necessary to formulate effective and efficient designs. The book supplies a springboard of knowledge, punctuated with examples worked out in MATLAB®/SIMULINK®, from which newcomers to the field can dive directly into applications. It systematically covers the design of hybrid, adaptive, and self-learning fuzzy control structures along with strategies for fuzzy controller design suitable for on-line and off-line operation. Examples occupy an entire chapter, with a section devoted to the simulation of an electro-hydraulic servo system. The final chapter explores industrial applications with emphasis on techniques for fuzzy controller implementation and different implementation platforms for various applications.

With proven methods based on more than a decade of experience, Fuzzy Controller Design: Theory and Applications is a concise guide to the methodology, design steps, and formulations for effective control solutions.

Zielgruppe

Electrical engineers in controls, power electronics, and electrical drives; researchers in intelligent systems, controls, and fuzzy systems; manufacturers, designers, and users of embedded systems, control electronics, and process control systems.

Autoren/Hrsg.

Kovacic, Zdenko

Bogdan, Stjepan

Fachgebiete

• Technische Wissenschaften Elektronik | Nachrichtentechnik Elektronik Überwachungstechnik

Inhaltsverzeichnis

INTRODUCTION

FUZZY CONTROLLER DESIGN
Fuzzy Sets
Linguistic Variables
Fuzzy Rules
Fuzzy Controller Structure
Fuzzy Controller Stability
References

INITIAL SETTING OF FUZZY CONTROLLERS
Fuzzy Emulation of P-I-D Control Algorithms
Model Reference Based Initial Setting of Fuzzy Controllers
Phase Plane-Based Initial Setting of Fuzzy Controllers
Practical Examples: Initial Setting of a Fuzzy Controller
References

COMPLEX FUZZY CONTROLLER STRUCTURES
Hybrid Fuzzy Control
Adaptive Fuzzy Control
References

SELF-ORGANIZING FUZZY CONTROLLER
Self-Organizing Fuzzy Control Based on the Direct Lyapunov Method
Self-Organizing Fuzzy Control Based on the Hurwitz Stability Criteria
Self-Organizing Fuzzy Control Based on Sensitivity Functions
References

FUZZY CONTROLLERS AS MATLAB SUPERBLOCKS
Features of MATLAB Fuzzy Logic Toolbox
Hybrid Fuzzy Controller Super-Block for Matlab
Polynomial-Based PSLFLC Matlab Super-Block
Sensitivity Model-Based SLFLC MATLAB Super-Block
Design Project: Fuzzy Control of an Electro-Hydraulic Servo System
References

IMPLEMENTATION OF FUZZY CONTROLLERS FOR INDUSTRIAL APPLICATIONS
Brief Overview of Industrial Fuzzy Controllers
Implementation Platforms for Industrial Fuzzy Logic Controllers
Examples of Fuzzy Controller Applications in Process Control
References