System Design and Control Integration for Advanced Manufacturing

Han-Xiong Li is a professor in the Department of Systems Engineering at the City University of Hong Kong. Dr. Li serves as Associate Editor of IEEE Transaction on Cybernetics, and IEEE Transactions on Industrial Electronics. Over the last thirty years, he has worked in different fields, including military service, industry, and academia. His current research interests are in systems intelligence and control, process design and control integration, and distributed parameter systems with applications to electronics packaging.XinJiang Lu is currently an associate professor with the School of Mechanical and Electrical Engineering at Central South University, People’s Republic of China. He was awarded the Hiwin Doctoral Dissertation Award in 2011 and the New Century Excellent Talents Award by the Chinese Ministry of Education in 2013. His research interests include robust design, integration of design and control, and process modeling and control.

• PREFACE xiACKNOWLEDGMENTS xiiiI BACKGROUND AND FUNDAMENTALS1 INTRODUCTION 31.1 Background and Motivation 31.1.1 Robust Design for Static Systems 51.1.2 Robust Design for Dynamic Systems 81.1.3 Integration of Design and Control 101.2 Objectives of the Book 141.3 Contribution and Organization of the Book 152 OVERVIEW AND CLASSIFICATION 192.1 Classification of Uncertainty 192.2 Robust Performance Analysis 202.2.1 Interval Analysis 202.2.2 Fuzzy Analysis 212.2.3 Probabilistic Analysis 212.3 Robust Design 272.3.1 Robust Design for Static Systems 282.3.2 Robust Design for Dynamic Systems 372.4 Integration of Design and Control 412.4.1 Control Structure Design 412.4.2 Control Method 422.4.3 Optimization Method 432.5 Problems and Research Opportunities 43II ROBUST DESIGN FOR STATIC SYSTEMS3 VARIABLE SENSITIVITY BASED ROBUST DESIGN FOR NONLINEAR SYSTEM 473.1 Introduction 473.2 Design Problem for Nonlinear Systems 483.2.1 Problem in Deterministic Design 493.2.2 Problem in Probabilistic Design 493.3 Concept of Variable Sensitivity 513.4 Variable Sensitivity Based Deterministic Robust Design 523.4.1 Robust Design for Single Performance Single Variable 523.4.2 Robust Design for Multiperformances Multivariables 543.4.3 Design Procedure 583.5 Variable Sensitivity Based Probabilistic Robust Design 583.5.1 Single Performance Function Under Single Variables 593.5.2 Single Performance Function Under Multivariables 603.5.3 Multiperformance Functions Under Multivariables 613.6 Case Study 623.6.1 Deterministic Design Cases 623.6.2 Probabilistic Design Case 663.7 Summary 704 MULTI-DOMAIN MODELING-BASED ROBUST DESIGN 714.1 Introduction 714.2 Multi-Domain Modeling-Based Robust Design Methodology 734.2.1 Multi-Domain Modeling Approach 744.2.2 Variation Separation-Based Robust Design Method 754.2.3 Design Procedure 784.3 Case Study 804.3.1 Robust Design of a Belt 804.3.2 Robust Design of Hydraulic Press Machine 814.4 Summary 865 HYBRID MODEL DATA-BASED ROBUST DESIGN UNDER MODEL UNCERTAINTY 875.1 Introduction 875.2 Design Problem for Partially Unknown Systems 885.2.1 Probabilistic Robust Design Problem 885.2.2 Deterministic Robust Design Problem 905.3 Hybrid Model Data-Based Robust Design Methodology 925.3.1 Probabilistic Robust Design 935.3.2 Deterministic Robust Design 995.4 Case Study 1045.4.1 Probabilistic Robust Design 1045.4.2 Deterministic Robust Design 1095.5 Summary 114III ROBUST DESIGN FOR DYNAMIC SYSTEMS6 ROBUST EIGENVALUE DESIGN UNDER PARAMETER VARIATION—A LINEARIZATION APPROACH 1196.1 Introduction 1196.2 Dynamic Design Problem Under Parameter Variation 1206.2.1 Stability Design Problem 1206.2.2 Dynamic Robust Design Problem 1216.3 Linearization-Based Robust Eigenvalue Design 1226.3.1 Stability Design 1226.3.2 Robust Eigenvalue Design 1246.3.3 Tolerance Design 1276.3.4 Design Procedure 1286.4 Multi-Model-Based Robust Design Method for Stability and Robustness 1286.4.1 Multi-Model Approach 1296.4.2 Stability Design 1306.4.3 Dynamic Robust Design 1326.4.4 Summary 1346.5 Case Studies 1346.5.1 Linearization-Based Robust Eigenvalue Design 1346.5.2 Multi-Model-Based Robust Design Method 1386.6 Summary 1457 ROBUST EIGENVALUE DESIGN UNDER PARAMETER VARIATION—A NONLINEAR APPROACH 1477.1 Introduction 1477.2 Design Problem 1487.3 SN-Based Dynamic Design 1507.3.1 Stability Design 1527.3.2 Dynamic Robust Design 1537.4 Case Study 1607.4.1 Stability Design 1607.4.2 Dynamic Robust Design 1627.5 Summary 1658 ROBUST EIGENVALUE DESIGN UNDER MODEL UNCERTAINTY 1678.1 Introduction 1678.2 Design Problem for Partially Unknown Dynamic Systems 1688.3 Stability Design 1698.3.1 Stability Design for Nominal Model 1698.3.2 Stability Design Under Model Uncertainty 1698.3.3 Stability Bound of Design Variables 1718.4 Robust Eigenvalue Design and Tolerance Design 1728.4.1 Robust Eigenvalue Design 1728.4.2 Tolerance Design 1738.4.3 Design Procedure 1748.5 Case Study 1758.5.1 Design of the Nominal Stability Space 1758.5.2 Design of the Stability Space 1768.5.3 Design of the Robust Stability Space 1768.5.4 Robust Eigenvalue Design 1768.5.5 Tolerance Design 1778.5.6 Design Verification 1778.6 Summary 180IV INTEGRATION OF DESIGN AND CONTROL9 DESIGN-FOR-CONTROL-BASED INTEGRATION 1839.1 Introduction 1839.2 Integration Problem 1849.3 Design-for-Control-Based Integration Methodology 1869.3.1 Design for Control 1869.3.2 Control Development 1889.3.3 Integration Optimization for Robust Pole Assignment 1889.3.4 Integration Procedure 1919.4 Case Study 1929.4.1 Design for Control 1929.4.2 Robust Pole Assignment 1939.4.3 Design Verification 1939.4.4 Design for Control 2029.4.5 Robust Dynamic Design and Verification 2029.5 Summary 20410 INTELLIGENCE-BASED HYBRID INTEGRATION 20510.1 Introduction 20510.2 Problem in Hybrid System in Manufacturing 20710.3 Intelligence-Based Hybrid Integration 20810.3.1 Intelligent Process Control 20810.3.2 Hybrid Integration Design 21410.3.3 Hierarchical Optimization of Integration 21510.4 Case Study 21810.4.1 Objective 21910.4.2 Integration Method for the Curing Process 22010.4.3 Verification and Comparison 22210.5 Summary 22711 CONCLUSIONS 22911.1 Summary and Conclusions 22911.2 Challenge 231REFERENCES 233INDEX 245