Nonlinear design methods for missile control and guidance

Author: Zhang You'an
Publisher:
Publish Date: 2003-07-01
Features: The book consists of 9 chapters. Chapter 1 briefly introduces the nonlinear design problems in missile control and guidance. Chapter 2 elaborates on some basic concepts and principles of feedback linearization and inversion design methods. Chapter 3 introduces the structural characteristics, basic principles, and training algorithms of several local approximation neural networks. Chapter 4 proposes a neural network adaptive feedback linearization method. Chapter 5 proposes a method for generating control commands for the guidance and control system of a BTT air-to-air missile trajectory guidance, applying NNBAFL to design the BTT missile autopilot. Chapter 6 applies neural networks and inversion design methods to study the design problem of a nonlinear adaptive control system for a BTT missile with generalized uncertainties. Chapter 7 proposes a combined controller design algorithm based on a segmented model of an air-to-air missile. Chapter 8, targeting a planar intercept problem, combines missile guidance based on differential geometry with robust control methods based on Lyapunov stability theory to propose a robust geometric guidance; another robust guidance algorithm is designed based on the sliding mode control theory. Chapter 9, considering both missile speed and target speed as time-varying, combines differential geometry methods with Lyapunov stability theory to propose a new method for designing a three-dimensional missile guidance law; establishes a three-dimensional space guidance motion model, and on this basis, proposes three new three-dimensional guidance laws: adaptive sliding mode guidance, augmented proportional navigation, and robust guidance. This book has certain reference value for scientists and engineering technicians engaged in control theory research and application, aircraft control system and guidance system analysis and design, and related fields.