Practical Iterative Learning Control with Frequency Domain Design and Sampled Data Implementation (Advances in Industrial Control)
暫譯: 實用的迭代學習控制:頻域設計與取樣數據實現(工業控制進展)
Danwei Wang, Yongqiang Ye, Bin Zhang
- 出版商: Springer
- 出版日期: 2014-07-08
- 售價: $4,510
- 貴賓價: 9.5 折 $4,285
- 語言: 英文
- 頁數: 226
- 裝訂: Hardcover
- ISBN: 9814585599
- ISBN-13: 9789814585590
海外代購書籍(需單獨結帳)
商品描述
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.
商品描述(中文翻譯)
本書專注於迭代學習控制(Iterative Learning Control, ILC)的設計與實作。我們基於頻域分析來進行ILC設計,並根據取樣數據方法來處理ILC的實作。這是第一本從頻域和取樣數據方法論探討ILC的書籍。頻域設計方法為ILC使用者提供了收斂性能的見解,這對實際應用具有益處。本書呈現了一個綜合框架,包含各種方法論,以確保ILC系統中的可學習帶寬在學習性能與學習穩定性之間達到平衡。取樣數據的實作確保ILC在實際動態系統中的有效執行。所提出的取樣數據ILC方法也確保了學習過程中性能與穩定性的平衡。此外,所提出的理論和方法論已在ILC控制的機器人系統中進行測試。實驗結果顯示,這些機器的工作精度遠高於僅依賴反饋控制所能提供的精度。透過所提出的ILC演算法,機器能夠在由感測器和執行器設定的硬體設計極限內運作。本書的目標讀者包括參與任何重複操作系統的科學家、工程師和實務工作者。