Practical Iterative Learning Control with Frequency Domain Design and Sampled Data Implementation

  • Danwei Wang
  • Yongqiang Ye
  • Bin Zhang

Part of the Advances in Industrial Control book series (AIC)

Table of contents

  1. Front Matter
    Pages i-xii
  2. Danwei Wang, Yongqiang Ye, Bin Zhang
    Pages 1-24
  3. Danwei Wang, Yongqiang Ye, Bin Zhang
    Pages 25-51
  4. Danwei Wang, Yongqiang Ye, Bin Zhang
    Pages 53-73
  5. Danwei Wang, Yongqiang Ye, Bin Zhang
    Pages 75-102
  6. Danwei Wang, Yongqiang Ye, Bin Zhang
    Pages 103-126
  7. Danwei Wang, Yongqiang Ye, Bin Zhang
    Pages 127-152
  8. Danwei Wang, Yongqiang Ye, Bin Zhang
    Pages 153-179
  9. Danwei Wang, Yongqiang Ye, Bin Zhang
    Pages 181-209
  10. Danwei Wang, Yongqiang Ye, Bin Zhang
    Pages 211-213
  11. Back Matter
    Pages 215-226

About this book

Introduction

This book is on the iterative learning control (ILC) with focus on the design and implementation. We approach the ILC design based on the frequency domain analysis and address the ILC implementation based on the sampled data methods. This is the first book of ILC from frequency domain and sampled data methodologies. The frequency domain design methods offer ILC users insights to the convergence performance which is of practical benefits. This book presents a comprehensive framework with various methodologies to ensure the learnable bandwidth in the ILC system to be set with a balance between learning performance and learning stability. The sampled data implementation ensures effective execution of ILC in practical dynamic systems. The presented sampled data ILC methods also ensure the balance of performance and stability of learning process. Furthermore, the presented theories and methodologies are tested with an ILC controlled robotic system. The experimental results show that the machines can work in much higher accuracy than a feedback control alone can offer. With the proposed ILC algorithms, it is possible that machines can work to their hardware design limits set by sensors and actuators. The target audience for this book includes scientists, engineers and practitioners involved in any systems with repetitive operations.

Keywords

Frequency Domain Analysis Frequency Domain Design Iterative Learning Control Iterative Learning Performance Iterative Learning Stability Sampled Data Implementation

Authors and affiliations

  • Danwei Wang
    • 1
  • Yongqiang Ye
    • 2
  • Bin Zhang
    • 3
  1. 1.School of Electrical and Electronic EngineeringNanyang Technological UniversitySingaporeSingapore
  2. 2.College of Automation EngineeringNanjing University of Aeronautics and AstronauticsNanjingChina
  3. 3.Department of Electrical EngineeringUniversity of South CarolinaColumbiaUSA

Bibliographic information

  • DOI https://doi.org/10.1007/978-981-4585-60-6
  • Copyright Information Springer Science+Business Media Singapore 2014
  • Publisher Name Springer, Singapore
  • eBook Packages Engineering
  • Print ISBN 978-981-4585-59-0
  • Online ISBN 978-981-4585-60-6
  • Series Print ISSN 1430-9491
  • Series Online ISSN 2193-1577
  • About this book
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