Fuzzy Controller Design: Theory and Applications

by Kovacic; Zdenko

• ISBN13: 9780849337475
• ISBN10: 084933747X
• Format: Hardcover
• Copyright: 2005-12-12
• Publisher: CRC Press

Summary

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.

Table of Contents

Preface	v
Authors	xi
Introduction	1	(8)
References	5	(4)
Fuzzy Controller Design	9	(66)
Fuzzy Sets	9	(5)
Linguistic Variables	14	(4)
Fuzzy Rules	18	(16)
Fuzzy Implication	23	(6)
Defuzzification	29	(5)
Fuzzy Controller Structure	34	(10)
Fuzzy Rule Table	36	(3)
Choice of Shape, Number, and Distribution of Fuzzy Sets	39	(5)
Fuzzy Controller Stability	44	(31)
References	70	(5)
Initial Setting of Fuzzy Controllers	75	(34)
Fuzzy Emulation of P-I-D Control Algorithms	76	(14)
Fuzzy Emulation of a PID Controller	77	(2)
Fuzzy Emulation of a PID Controller --- Variant A	79	(8)
Fuzzy Emulation of a PID Controller --- Variant B	87	(2)
Fuzzy Emulation of a PID Controller --- Variant C	89	(1)
Sugeno Type of Fuzzy PID Controller	90	(1)
Model Reference-Based Initial Setting of Fuzzy Controllers	90	(5)
Phase Plane-Based Initial Setting of Fuzzy Controllers	95	(3)
Practical Examples: Initial Setting of a Fuzzy Controller	98	(11)
Emulation of a PI Controller	100	(2)
Model Reference-Based Initial Setting	102	(4)
Phase Plane-Based Initial Setting	106	(1)
References	107	(2)
Complex Fuzzy Controller Structures	109	(88)
Hybrid Fuzzy Control	110	(9)
Adaptive Fuzzy Control	119	(78)
Direct and Indirect Adaptive Control	122	(4)
Model Reference Fuzzy Adaptive Control Systems	126	(3)
Sensitivity Model-Based Adaptation	129	(10)
Integral Criterion-Based Adaptation	139	(6)
Model Reference Adaptive Control with Fuzzy Adaptation	145	(20)
Multiple Fuzzy Rule Table-Based Adaptation	165	(2)
Fuzzy MRAC Contact Force Control	167	(15)
Fuzzy MRAC Angular Speed Control	182	(10)
References	192	(5)
Self-Organizing Fuzzy Controllers	197	(104)
Self-Organizing Fuzzy Control Based on the Direct Lyapunov Method	199	(13)
Self-Organizing Fuzzy Control Based on the Hurwitz Stability Criteria	212	(23)
Self-Organizing Fuzzy Control Based on Sensitivity Functions	235	(66)
Basic Concept of System Sensitivity	236	(3)
Synthesis of a Self-Organizing Fuzzy Algorithm	239	(47)
Example: Multiple Fuzzy Rule Table-Based Control	286	(5)
Self-Organizing Fuzzy Control with a Self-Learning Integral Term	291	(6)
References	297	(4)
Fuzzy Controllers as Matlab® Superblocks	301	(34)
Features of Matlab Fuzzy Logic Toolbox	301	(5)
FIS Editor	301	(1)
Membership Function Editor	302	(1)
Rule Editor	303	(1)
Rule Viewer	303	(2)
Defuzzification Methods in FLT	305	(1)
FLT Commands	306	(1)
Hybrid Fuzzy Controller Super-Block for Matlab	306	(3)
Polynomial-Based PSLFLC Matlab Super-Block	309	(8)
Sensitivity Model-Based SLFLC Matlab Super-Block	317	(9)
Design Project: Fuzzy Control of a Electro-Hydraulic Servo System	326	(9)
Mathematical Model of a Control Process	326	(2)
Simulation Model	328	(1)
Fuzzy Controller Design Specifications	329	(5)
References	334	(1)
Implementation of Fuzzy Controllers for Industrial Applications	335	(58)
Brief Overview of Industrial Fuzzy Controllers	335	(3)
Implementation Platforms for Industrial Fuzzy Logic Controllers	338	(29)
Microcomputer-Based Fuzzy Controller Implementation	339	(4)
PLC-Based Fuzzy Gain Scheduling Control of Condensate Level	343	(1)
The Condenser Model	344	(1)
Standard Condensate Level Control	345	(2)
Fuzzy Gain Scheduling Condensate Level Control	347	(7)
PLC Siemens Simatic S7-216 Step 7 Program of FGS Condensate Level Control	354	(1)
PLC-Based Self-Learning Fuzzy Controller Implementation	354	(5)
PPSOFC --- Self-Organizing Fuzzy Controller Function Block	359	(8)
Examples of Fuzzy Controller Applications in Process Control	367	(26)
PC-Based Fuzzy-Predictive Control of a Road Tunnel Ventilation System	367	(1)
The Structure of a Fuzzy-Predictive Controller	367	(1)
Air Flow Prediction	368	(1)
Prediction of Number of Jet-Fans	369	(2)
Tunnel Parameters Identification	371	(2)
Fuzzy Controller	373	(2)
Simulation Experiments	375	(5)
FBD-Based Implementation of a Fuzzy-Predictive Controller	380	(1)
Fuzzy Control of Anesthesia	381	(7)
References	388	(5)
Index	393