System Design and Control Integration for Advanced Manufacturing ( IEEE Press Series on Systems Science and Engineering )

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Description

Most existing robust design books address design for static systems, or achieve robust design from experimental data via the Taguchi method. Little work considers model information for robust design particularly for the dynamic system. This book covers robust design for both static and dynamic systems using the nominal model information or the hybrid model/data information, and also integrates design with control under a large operating region. This design can handle strong nonlinearity and more uncertainties from model and parameters.

Chapter

1.2 Objectives of the Book

1.3 Contribution and Organization of the Book

2 Overview and Classification

2.1 Classification of Uncertainty

2.2 Robust Performance Analysis

2.2.1 Interval Analysis

2.2.2 Fuzzy Analysis

2.2.3 Probabilistic Analysis

2.3 Robust Design

2.3.1 Robust Design for Static Systems

2.3.2 Robust Design for Dynamic Systems

2.4 Integration of Design and Control

2.4.1 Control Structure Design

2.4.2 Control Method

2.4.3 Optimization Method

2.5 Problems and Research Opportunities

PART II Robust Design For Static Systems

3 Variable Sensitivity Based Robust Design For Nonlinear System

3.1 Introduction

3.2 Design Problem For Nonlinear Systems

3.2.1 Problem in Deterministic Design

3.2.2 Problem in Probabilistic Design

3.3 Concept Of Variable Sensitivity

3.4 Variable Sensitivity Based Deterministic Robust Design

3.4.1 Robust Design for Single Performance/Single Variable

3.4.2 Robust Design for Multiperformances/Multivariables

3.4.3 Design Procedure

3.5 Variable Sensitivity Based Probabilistic Robust Design

3.5.1 Single Performance Function Under Single Variables

3.5.2 Single Performance Function Under Multivariables

3.5.3 Multiperformance Functions Under Multivariables

3.6 Case Study

3.6.1 Deterministic Design Cases

3.6.2 Probabilistic Design Case

3.7 Summary

4 Multi-Domain Modeling-Based Robust Design

4.1 Introduction

4.2 Multi-Domain Modeling-Based Robust Design Methodology

4.2.1 Multi-Domain Modeling Approach

4.2.2 Variation Separation-Based Robust Design Method

4.2.3 Design Procedure

4.3 Case Study

4.3.1 Robust Design of a Belt

4.3.2 Robust Design of Hydraulic Press Machine

4.4 Summary

5 Hybrid Model/Data-Based Robust Design Under Model Uncertainty

5.1 Introduction

5.2 Design Problem for Partially Unknown Systems

5.2.1 Probabilistic Robust Design Problem

5.2.2 Deterministic Robust Design Problem

5.3 Hybrid Model/Data-Based Robust Design

5.3.1 Probabilistic Robust Design

5.3.2 Deterministic Robust Design

5.4 Case Study

5.4.1 Probabilistic Robust Design

5.4.2 Deterministic Robust Design

5.5 Summary

PART III Robust Design for Dynamic Systems

6 Robust Eigenvalue Design Under Parameter Variation— A Linearization Approach

6.1 Introduction

6.2 Dynamic Design Problem Under Parameter Variation

6.2.1 Stability Design Problem

6.2.2 Dynamic Robust Design Problem

6.3 Linearization-Based Robust Eigenvalue Design

6.3.1 Stability Design

6.3.2 Robust Eigenvalue Design

6.3.3 Tolerance Design

6.3.4 Design Procedure

6.4 Multi-Model-Based Robust Design Method For Stability And Robustness

6.4.1 Multi-Model Approach

6.4.2 Stability Design

6.4.3 Dynamic Robust Design

6.4.4 Summary

6.5 Case Studies

6.5.1 Linearization-Based Robust Eigenvalue Design

6.5.2 Multi-Model-Based Robust Design Method

6.6 Summary

7 Robust Eigenvalue Design Under Parameter Variation—A Nonlinear Approach

7.1 Introduction

7.2 Design Problem

7.3 SN-Based Dynamic Design

7.3.1 Stability Design

7.3.2 Dynamic Robust Design

7.4 Case Study

7.4.1 Stability Design

7.4.2 Dynamic Robust Design

7.5 Summary

8 Robust Eigenvalue Design Under Model Uncertainty

8.1 Introduction

8.2 Design Problem for Partially Unknown Dynamic Systems

8.3 Stability Design

8.3.1 Stability Design for Nominal Model

8.3.2 Stability Design Under Model Uncertainty

8.3.3 Stability Bound of Design Variables

8.4 Robust Eigenvalue Design and Tolerance Design

8.4.1 Robust Eigenvalue Design

8.4.2 Tolerance Design

8.4.3 Design Procedure

8.5 Case Study

8.5.1 Design of the Nominal Stability Space

8.5.2 Design of the Stability Space

8.5.3 Design of the Robust Stability Space

8.5.4 Robust Eigenvalue Design

8.5.5 Tolerance Design

8.5.6 Design Verification

8.6 Summary

PART IV Integration of Design and Control

9 DESIGN-FOR-CONTROL-BASED INTEGRATION

9.1 Introduction

9.2 Integration Problem

9.3 Design-for-Control-Based Integration Methodology

9.3.1 Design for Control

9.3.2 Control Development

9.3.3 Integration Optimization for Robust Pole Assignment

9.3.4 Integration Procedure

9.4 Case Study

9.4.1 Design for Control

9.4.2 Robust Pole Assignment

9.4.3 Design Verification

9.4.4 Design for Control

9.4.5 Robust Dynamic Design and Verification

9.5 Summary

10 Intelligence-Based Hybrid Integration

10.1 Introduction

10.2 Problem in Hybrid System in Manufacturing

10.3 Intelligence-Based Hybrid Integration

10.3.1 Intelligent Process Control

10.3.2 Hybrid Integration Design

10.3.3 Hierarchical Optimization of Integration

10.4 Case Study

10.4.1 Objective

10.4.2 Integration Method for the Curing Process

10.4.3 Verification and Comparison

10.5 Summary

11 Conclusions

11.1 Summary and Conclusions

11.2 Challenge

References

Index

IEEE PRESS SERIES ON SYSTEMS SCIENCE AND ENGINEERING

EULA

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