工业蒸发系统、微分几何技术执行的鲁棒非线性控制ROBUST NONLINEAR CONTROL OF INDUSTRIAL EVAPORATION SYSTEMS

Examines the practical aspects of multivariable nonlinear control techniques. Designed to minimize the use of abstract mathematical language and, in some cases, simplify the language so that nonlinear control theory can be understood by industrial practitioners.

Preface
Acknowledgments
Nomenclature,
Chapter One Introduction
1.1 Why Nonlinear Control Theory
1.2 Development of Nonlinear Control Theory
1.3 Purpose of this Book
1.4 An Overview of the Book
Chapter Two Feedback Linearization Theory and Symbolic Computations
2.1 Introduction
2.1.1 Full State Feedback Linearization
2.1.2 Partial State Feedback Linearization
2.2 Notes and References
2.2.1 Input State Linearization (I/S)
2.2.2 Input Output Linearization (I/O)
2.3 Mathematical Preliminaries for Differential Geometry
2.3.1 Vector Fields and Scalar Fields
2.3.2 Lie Derivative
2.3.3 Lie Brackets
2.4 The Nonlinear Control System Representation
2.4.1 Input State Llinearization (I/S) or SHM Transformation
2.4.1.1 Algorithm for Computing Kronecker Indices
2.4.1.2 Criteria for Transformation
2.4.1.3 Transformation of Variables
2.4.1.4 Special Case of the I/S
2.4.1.5 Summary of the I/S Algorithm
2.4.1.5 Example of the Input State Linearization
2.4.1.7 Feedback Control by the Input State Linearization
2.4.2 Input Output Linearization (I/O)
2.4.2.1 MIMO Globally Linearizing Control (GLC) Structure
2.4.2.2 Example of the Input Output Linearization
2.4.2.3 A Special Case of the Input Output Linearization: Generic Model Control
2.4.2.4 Design Procedures of MIMOGLC Structure
2.5 Symbolic Computations
2.5.1 What are Symbolic Computations?
2.5.2 A Brief Introduction to MAPLE
2.5.3 Applications of Symbolic Computations in Process Control
2.6 Conclusions
Chapter Three Nonlinear Control of a Simulated Single Evaporator Process
3.1 Liquor Burning Process (LBP)
3.1.1 Process Description
3.1.2 Dynamic Modelling Considerations
3.1.2.1 Assumptions
3.1.2.2 Dynamic Equations
3.1.2.3 Selection of Input and Output Variables
3.2 Simulation Results
3.2.1 Open Loop Simulation Results
3.2.2 Closed Loop Simulation Results
3.2.2.1 Local Linearization
3.2.2.2 Input Output Linearization versus Generic Model Control
3.2.2.3 Input State Linearization
3.3 Discussions
3.3.1 Local Linearization
……
Chapter Four Robustness Study of Nonlinear Control Theories
Chapter Five Robust Controller Synthess Using Uncertainty Vector Adjustment
Chapter Six Lyapunov Function Analysis of the Uncertainty Vector Adjustment
Chapter Seven Simulation and Control of a Triple Effects Evaporator
Chapter Eight Use of State Observers in Nonlinear Control
Chapter Nine Implementation of Input Output Linearization on an Industrial Evaporator Process
Chapter Ten Final Comment and Conclusions
Appendices
Bibliography
Index