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Multivariable Control Systems : An Engineering Approach - Pedro Albertos

Multivariable Control Systems

An Engineering Approach

Paperback Published: 14th November 2003
ISBN: 9781852337384
Number Of Pages: 340

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Multivariable control techniques solve issues of complex specification and modelling errors elegantly but the complexity of the underlying mathematics is much higher than presented in traditional single-input, single-output control courses. Multivariable Control Systems focuses on control design with continual references to the practical aspects of implementation. While the concepts of multivariable control are justified, the book emphasises the need to maintain student interest and motivation over exhaustively rigorous mathematical proof. Tools of analysis and representation are always developed as methods for achieving a final control system design and evaluation. Features: - design implementation clearly laid out using extensive reference to Matlab; - combined consideration of systems (plant) and signals (mainly disturbances) in a fluent but simple presentation; - step-by-step approach from the objectives of multivariable control to the solution of complete design problems. Multivariable Control Systems is an ideal text for masters students, students beginning their Ph.D. or for final-year undergraduates looking for more depth than provided by introductory textbooks. It will also interest the control engineer practising in industry and seeking to implement robust or multivariable control solutions to plant problems in as straightforward a manner as possible.

Industry Reviews

This book is well written and suitable for teaching courses. I was pleased to find that the book devoted so much attention to applications. Many industrial applications are given, which can help teachers to prepare practical works and are equally valuable to students and practising engineers. In particular, there are many case studies implemented with MATLAB.

Automatica 41 (2005) 1665 - 1666 (Reviewer: Mohammed Chadli)

Introduction to Multivariable Control
Introduction
Process and Instrumentation
Process Variables
The Process Behaviour
Control Aims
Modes of Operation
The Need for Feedback
Model-free vs. Model-based Control
The Importance of Considering Modelling Errors
Multivariable Systems
Implementation and Structural Issues
Summary of the Chapters
Linear System Representation: Models and Equivalence
Introduction: Objectives of Modelling
Types of Models
First-principle Models: Components
Internal Representation: State Variables
Linear Models and Linearisation
Input/Output Representations
Polynomial Representation
Transfer Matrix
Systems and Subsystems: Interconnection
Series, Parallel and Feedback Connection
Generalised Interconnection
Discretised Models
Equivalence of Representations
Disturbance Models
Deterministic Signals
Randomness in the Signals
Discrete Stochastic Processes
Key Issues in Modelling
Case Study: The Paper Machine Headbox
Simpli.ed Models
Elaborated Models
Linear Systems Analysis
Introduction
Linear System Time-response
Stability Conditions
Relative Degree of Stability
Discretisation
Gain
Static Gain
Instantaneous Gain
Directional Gain
Frequency response
System Internal Structure
Reachability (State Controllability)
Observability
Output Reachability
Remarks on Reachability and Observability
Canonical Forms
Minimal Realisation
Balanced Realisation
Poles and Zeros
Input/Output Properties
Input/Output Controllability
Model Reduction
Time Scale Decomposition
Balanced Reduction
Key Issues in MIMO Systems Analysis
Case Study: Simple Distillation Column
Solutions to the Control Problem
The Control Design Problem
Control Goals
Variables Selection
Control Structures
Feedback Control
Closed-loop Stability Analysis
Interactions
Generalised Plant
Performance AnalysisContents xv
Feedforward Control
Manual Control
Open-loop Inversion and Trajectory Tracking
Feedforward Rejection of Measurable Disturbances
Two Degree of Freedom Controller
Hierarchical Control
Key Issues in Control Design
Case Study: Ceramic Kiln
Decentralised and Decoupled Control
Introduction
Plant Decomposition, Grouping of Variables
Multi-loop Control, Pairing Selection
The Relative Gain Array Methodology
Integrity (Fault Tolerance)
Diagonal Dominance (Stability Analysis)
Decoupling
Feedforward Decoupling
Feedback Decoupling
SVD Decoupling
Enhancing SISO Loops with MIMO Techniques: Cascade Control
Case I: Extra Measurements
Case II: Extra Actuators
Other Possibilities
Indirect and Inferential Control
Override, Selectors
Split-range Control
Gradual Control, Local Feedback
Sequential-Hierarchical Design and Tuning
Combined Strategies for Complex Plants
Key Conclusions
Case Studies
Steam Boiler
Mixing Process
Fundamentals of Centralised Closed-loop Control
State Feedback
Stabilisation and Pole-placement
State Feedback PI Control
Output Feedback
Model-based Recurrent Observer
Current Observer
Reduced-order Observer
Separation Principle
Rejection of Deterministic Unmeasurable Disturbances
Augmented Plants: Process and Disturbance Models
Disturbance rejection
Summary and Key Issues
Case Study: Magnetic Suspension
Optimisation-based Control
Optimal State Feedback
Linear Regulators
Optimal Output Feedback
Kalman Observer
Linear Quadratic Gaussian Control
Predictive Control
Calculating Predictions
Objective Function
Constraints
Disturbance rejection
A Generalised Optimal Disturbance-rejection Problem
Design
Table of Contents provided by Publisher. All Rights Reserved.

ISBN: 9781852337384
ISBN-10: 1852337389
Series: Advanced Textbooks in Control and Signal Processing
Audience: General
Format: Paperback
Language: English
Number Of Pages: 340
Published: 14th November 2003
Publisher: Springer London Ltd
Country of Publication: GB
Dimensions (cm): 23.22 x 15.06  x 1.68
Weight (kg): 0.5

Earn 271 Qantas Points
on this Book