Fully Tuned Radial Basis Function Neural Networks for Flight Control

by Sundararajan, N.; Saratchandran, P.; Li, Yan

• ISBN13: 9780792375180
• ISBN10: 0792375181
• Format: Hardcover
• Copyright: 2001-10-01
• Publisher: Kluwer Academic Pub

Summary

Fully Tuned Radial Basis Function Neural Networks for Flight Control presents the use of the Radial Basis Function (RBF) neural networks for adaptive control of nonlinear systems with emphasis on flight control applications. A Lyapunov synthesis approach is used to derive the tuning rules for the RBF controller parameters in order to guarantee the stability of the closed loop system. Unlike previous methods that tune only the weights of the RBF network, this book presents the derivation of the tuning law for tuning the centers, widths, and weights of the RBF network, and compares the results with existing algorithms. It also includes a detailed review of system identification, including indirect and direct adaptive control of nonlinear systems using neural networks. Fully Tuned Radial Basis Function Neural Networks for Flight Control is an excellent resource for professionals using neural adaptive controllers for flight control applications.

Table of Contents

Preface	xi
A Review of Nonlinear Adaptive Neural Control Schemes	1	(28)
Adaptive Control of Nonlinear Systems Using Artificial Neural Networks	1	(11)
Introduction	1	(3)
An Overview of Neural Networks in Adaptive Control	4	(4)
Nonlinear System Identification and Indirect Adaptive Control	8	(1)
Direct Adaptive Control Strategy	9	(3)
A Review of Neuro-Flight-Control Strategies	12	(6)
Autoilot Neural Flight Control Systems	14	(1)
Fault Tolerant Neural Flight Control System	15	(2)
High Angle of Attack Supermaneuver	17	(1)
Radial Basis Function Neural Network	18	(3)
Aircraft Flight Control Applications Using RBF Network	21	(8)
Part I Nonlinear System Identification and Indirect Adaptive Control Schemes
Nonlinear System Identification Usinglyapunov-Based Fully Tuned RBFN	29	(18)
Introduction	29	(1)
Stable Identification Using Lyapunov-Based Fully Tuned RBF Network	30	(8)
Identification Strategy and System Error Dynamics	30	(2)
Stable Parameter Tuing Rules	32	(2)
Implementation of the Tuning Rule	34	(2)
GRBF Network and Dead Zone Design	36	(2)
Simulation Results	38	(6)
Identification of SISO Nonlinear System	38	(2)
Identification of Nonlinear Time-Varying Missile System	40	(4)
Summary	44	(3)
Real-Time Identification of Nonlinear Systems Using MRAN/EMRAN Algorithm	47	(22)
Introduction	47	(1)
Introduction of MRAN Algorithm	48	(4)
Performance of the MRAN Algorithm	52	(6)
The ONSAHL Algorithm	52	(2)
BM-1: Nonlinear SISO Time-Invariant System	54	(2)
BM-2: Nonlinear SISO Time-Varying System	56	(2)
Real-Time Implementation of MRAN and the Extended MRAN Algorithm	58	(6)
Analysis of MRAN for Real-Time Implementation	58	(1)
BM-3: Nonlinear MIMO Time-Invariant System	59	(2)
Extended MRAN (EMRAN) Algorithm	61	(3)
Performance Comparison of MRAN vs. EMRAN	64	(3)
BM-2: Nonlinear SISO Time-Varying System	65	(1)
BM-3: MIMO Nonlinear Dynamic System	66	(1)
Summary	67	(2)
Indirect Adaptive Control Using Fully Tuned RBFN	69	(16)
Neural Network Based Indirect Adaptive Control	69	(2)
Neural Network Controller with Off-Line Training and On-Line Control	71	(6)
Linearized Longitudinal F8 Aircraft Model	71	(1)
Evoluation of Off-Line Training	72	(4)
Off-Line Training/On-Line Control for the Linearized F8 Aircraft Model	76	(1)
On-Line Learning/On-Line Control for the Linearized Aircraft Model	77	(2)
Summary	79	(6)
Part II Direct Adaptive Control Strategy and Fighter aircraft applications
Direct Adaptive Neuro Flight Controller Using Fully Tuned RBFN	85	(10)
Overview	85	(1)
Problem Formulation	86	(1)
Stable Tuning Rule Using Fully Tuned RBFN	87	(4)
Control Strategy	87	(2)
RBFN Approximation and Error Dynamics	89	(1)
Stable Adaptive Tuning Rule for Fully Tuned RBFN	90	(1)
Robustness Analysis	91	(2)
Implementation of the Tuning Rule	93	(1)
Summary	94	(1)
Aircraft Flight Control Applications Using Direct Adaptive NFC	95	(32)
Robust NFC for a Linearized F8 Aircraft Model	95	(12)
NFC for Localized Nonlinear Aircraft Model	107	(4)
Localized Nonlinear Fighter Aircraft Model	107	(1)
Performance Evaluation of the NFC	108	(3)
Discussion	111	(1)
NFC for Full-Fledged Nonlinear 6-DOF Aircraft Model	111	(14)
Full-Fledged Nonlinear 6-DOF Aircraft Model	112	(1)
Kinematic and Navigation Equations	113	(2)
Auxiliary Equations	115	(1)
Other Equations	116	(3)
High α Stability-Axis Roll Maneuver	119	(2)
Simulation Studies	121	(4)
Summary	125	(2)
Mran Neuro-Flight-Controller for Robust Aircraft Control	127	(14)
Problem Formulation and Conventional Controller	127	(1)
Robust MRAN-Flight-Controller	128	(2)
Simulation Results	130	(9)
Response to Model Error	131	(5)
Response to Actuator Sluggishness	136	(3)
Summary	139	(2)
Conclusions and Future Work	141	(4)
Conclusions	141	(2)
Recommendations for Further Research	143	(2)
Bibliography	145	(12)
Topic Index	157