Advanced Optimization for Motion Control Systems

ISBN-13: 9780367343392 / Angielski / Twarda / 2020 / 166 str.

Jun Ma; Xiaocong Li; Kok Kiong Tan

Opis

The book is organized into two parts: Part I focuses on the model-based approaches, and Part II presents the data-based approaches. Industrial problems explored in the book are formulated systematically with necessary analysis of the control system synthesis.

Spis treści

Preface
Author Biographies
List of Figures
List of Tables
Nomenclature
1 Introduction
1.1 Overview of Motion Control Systems
1.2 Optimization Methods
1.3 Model-based Optimization for Motion Control Systems
1.4 Data-based Optimization for Motion Control Systems
I Model-based Optimization for Motion Control Systems
2 Constrained Linear Quadratic Optimization
2.1 Background
2.2 Constrained Linear Quadratic Optimization Algorithm
2.3 Case Study
2.4 Conclusion
3 Constrained H2 Optimization
3.1 Background
3.2 Constrained H2 Optimization Algorithm
3.3 Case Study
3.4 Conclusion
4 Constrained H2 Guaranteed Cost Optimization
4.1 Background
4.2 Parameter Space Optimization with Structural Constraints
4.3 Constrained H2 Guaranteed Cost Optimization Algorithm
4.4 Case Study
4.5 Conclusion
II Data-based Optimization for Motion Control Systems
5 Reduced-order Inverse Model Optimization
5.1 Background
5.2 Overview of the 3-DOF Control Structure
5.3 Reduced-order Inverse Model Optimization Algorithm
5.4 Simulation Analysis
5.5 Experimental Validation
5.6 Conclusion
6 Reference Profile Alteration and Optimization
6.1 Background
6.2 Problem Formulation
6.3 Predictive Feedforward Scheme with O setting Mechanism
6.4 Optimization Algorithm for Reference Profile Alteration
6.5 Simulation Analysis
6.6 Experimental Validation
6.7 Conclusion
7 Disturbance Observer Sensitivity Shaping Optimization
7.1 Background
7.2 Overview of Disturbance Observer based Control Systems
7.3 Sensitivity Shaping Optimization Procedures
7.4 Simulation Analysis
7.5 Experimental Validation
7.6 Conclusion
Bibliography