Control and Dynamic Systems V14

Control and Dynamic Systems: Advances in Theory and Applications, Volume 14 provides information pertinent to the fundamental aspects of linear and nonlinear multi-input-multi-output systems. This book presents the development of analysis and synthesis of these complex systems that describes several important applied issues.

Organized into five chapters, this volume begins with an overview of the basic issues in models for large-scale engineering systems and other systems. This text then examines the relations between model complexity or accuracy and system performance. Other chapters consider the various significant systems modeling and control issues in nuclear reactors. This book discusses as well the modeling issues and their methods that are fundamentally useful to the differential-functional (DF) system. The final chapter deals with complex many-element power systems and presents techniques for such systems.

This book is a valuable resource for controls and systems engineers. Aeronautic research workers will also find this book extremely useful.

Inhalt

Contributors

Preface

Contents of Previous Volumes

Techniques of Modeling and Model Error Compensation in Linear Regulator Problems

I. Introduction

II. Structure of the Estimation and Control Problem

A. Controller Evaluation Criteria

III. Model Error Definitions

A. Model Error Systems that Generate e?xy{t), or efyz( t )

B. Approximate Controller Design Problem

IV. Model Error Systems that Approximate e£KO

A. The Trajectory Sensitivity System as a Model Error System: e^(AA, A B )

B. Kalman and Adaptive Kalman Filters: ef(v), e%(w)

C. Reconstruction of ef1(w',v,jci,ÄA,A2?,ÄM) with Orthogonal Functions

V. Model Error Systems That Approximate efz(t), er£v(t), or efyz( t )

A. Singular Perturbation Approach: efAx*)

B. Deterministic Characterization of Disturbances: efz(w)

C. Reconstruction of ^(^,^, , ), or eJ5,*(·) with Orthogonal Functions

VI. The Controller Design Using Full-Order State Estimators (Fose)

A. The Controller for ell(t) Estimation Using the Form Eq. (27c) with x=0,Bs=0, Py=0

B. The Controller for Estimation Using the Form Eq. (28c) with Ax=0,Bs=0,Py=0

VII. The Controller Design Using Reduced-Order Estimators (Rose)

VIII. Application to a Solar Electric Spacecraft

A. A Trajectory Sensitivity Design

B. Orthogonal Filter Designs

IX. Conclusions and Summary

Reference

Dynamic Analysis and Control of Pressurized Water Reactors

I. Introduction

II. A Little Physics

A. Neutronics

B. Xenon-135 Effects

C. Feedback Coefficients

D. Delayed Power

E. Energy Deposition

III. PWR System Description

A. PWR Subsystems

B. The Pellet-Clad Interaction Problem

IV. Reactor Core Model

A. Neutronics

B. Core Heat Transfer

V. Piping and Plenum Models

VI. Pressurizer Models

VII. Steam Generator Models

VIII. PWR Control

A. Global Control Steady State Programs

B. Control Possibilities

IX. What Next?

Reference

Jet Engine Systems Models Part II. State Space Techniques and Modeling for Control

I. Introduction

II. Background

III. Model Development for Control

IV. Design Models in Optimal Linear Regulator Design

V. Trim Controller Design Utilizing Static, Closed-Loop Models

VI. Transition Models for Control During Large Transients

VII. Summary and Conclusions

References

Bibliography

Power Systems Modeling: Estimation and Control Applications

I. Introduction

II. Power System Modeling

A. Overview

B. Generation System Models

C. Transmission System Models

D. Distribution System Models

E. System Load Models

III. Power System Information and Control

A. Overview

B. Information and Control Hierarchy

C. Information and Control Functions

IV. Parameter and State Estimation

A. Overview

B. Features and Functions

C. Basic Theory and Algorithm

D. Advanced Estimation Program

E. Numerical Results

V. System Security Assessment and Control

A. Overview

B. Statement of the Problem

C. The Security Assessment Problem

D. The Remedial Control Problem

E. Numerical Results

VI. Distribution System Control

A. Overview

B. Statement of the Problem

C. Network and Control Decomposition

D. Mathematical and Heuristic Programming

E. Numerical Results

VII. Summary and Conclusions

References

Index