PID Tuning: A Modern Approach via the Weighted Sensitivity Problem
暫譯: PID 調整：透過加權靈敏度問題的現代方法

Alcántara Cano, Salvador, Vilanova Arbós, Ramon, Pedret I. Ferré, Carles

PID Tuning: A Modern Approach via the Weighted Sensitivity Problem
  • 出版商: CRC
  • 出版日期: 2020-11-20
  • 售價: $4,870
  • 貴賓價: 9.5 折 $4,627
  • 語言: 英文
  • 頁數: 154
  • 裝訂: Hardcover - also called cloth, retail trade, or trade
  • ISBN: 036734372X
  • ISBN-13: 9780367343729

    • 海外代購書籍(需單獨結帳)

相關主題

商品描述

The PID controller is the most common option in the realm of control applications and is dominant in the process control industry. Among the related analytical methods, Internal Model Control (IMC) has gained remarkable industrial acceptance due to its robust nature and good set-point responses. However, the traditional application of IMC results in poor load disturbance rejection for lag-dominant and integrating plants. This book presents an IMC-like design method which avoids this common pitfall and is devised to work well for plants of modest complexity, for which analytical PID tuning is plausible. For simplicity, the design only focuses on the closed-loop sensitivity function, including formulations for the H∞ and H2 norms. Aimed at graduate students and researchers in control engineering, this book:

  • Considers both the robustness/performance and the servo/regulation trade-offs

  • Presents a systematic, optimization-based approach, ultimately leading to well-motivated, model-based, and analytically derived tuning rules

  • Shows how to tune PID controllers in a unified way, encompassing stable, integrating, and unstable processes

  • Finds in the Weighted Sensitivity Problem the sweet spot of robust, optimal, and PID control

  • Provides a common analytical framework that generalizes existing tuning proposals

商品描述(中文翻譯)

PID 控制器是控制應用領域中最常見的選擇，並在過程控制行業中佔據主導地位。在相關的分析方法中，內部模型控制 (Internal Model Control, IMC) 由於其穩健性和良好的設定點響應而獲得了顯著的工業接受度。然而，IMC 的傳統應用在滯後主導和積分型系統中會導致對負載擾動的拒絕能力較差。本書提出了一種類似 IMC 的設計方法，避免了這一常見的陷阱，並旨在對於中等複雜度的系統有效運作，這些系統適合進行分析性的 PID 調整。為了簡化，設計僅專注於閉環靈敏度函數，包括 H∞ 和 H2 範數的公式。本書針對控制工程的研究生和研究人員，內容包括：

- 考慮穩健性/性能與伺服/調節之間的權衡
- 提出一種系統化的基於優化的方法，最終導致合理的、基於模型的和分析推導的調整規則
- 展示如何以統一的方式調整 PID 控制器，涵蓋穩定、積分和不穩定的過程
- 在加權靈敏度問題中找到穩健、最佳和 PID 控制的最佳點
- 提供一個通用的分析框架，概括現有的調整提案

作者簡介

Salvador Alcántara Cano graduated in Computer Science & Engineering and then obtained the MSc and PhD degrees in Systems Engineering & Automation, all from Universitat Autònoma de Barcelona, in 2005, 2008, and 2011, respectively. During his short-lived research career, he focused on PID control and the analytical derivation of simple tuning rules guided by robust and optimal principles. He also made two research appointments with Professors Weidong Zhang and Sigurd Skogestad, almost completed a degree in Mathematics, and held a Marie Curie postdoctoral position in the Netherlands. Back in Barcelona, "Salva" worked as an automation & control practitioner for one more year, before definitively shifting his career into software development. Apart from programming and DevOps in general, his current interests include Stream Processing, Machine Learning, and Functional Programming & Category Theory.

Ramon Vilanova Arbós graduated from the Universitat Autònoma de Barcelona (1991), obtaining the title of Doctor through the same university (1996). At present, he's Full Professor of Automatic Control and Systems Engineering at the School of Engineering of the Universitat Autònoma de Barcelona where he develops educational task-teaching subjects of Signals and Systems, Automatic Control, and Technology of Automated Systems. His research interests include methods of tuning of PID regulators, systems with uncertainty, analysis of control systems with several degrees of freedom, applications to environmental systems, and development of methodologies for the design of machine-man interfaces. He is an author of several book chapters and has more than 100 publications in international congresses/journals. He is a member of IFAC and IEEE-IES. He's also a member of the Technical Committee on Factory Automation.

Carles Pedret i Ferré was born in Tarragona, Spain, on January 29, 1972. He received the BSc degree in Electronic Engineering and the PhD degree in System Engineering and Automation from Universitat Autònoma de Barcelona, in 1997 and 2003, respectively. He is Associate Professor at the Department of Telecommunications and System Engineering of Universitat Autònoma de Barcelona. His research interests are in uncertain systems, time-delay systems, and PID control.

作者簡介(中文翻譯)

Salvador Alcántara Cano 於2005年、2008年和2011年分別在巴薩隆納自治大學（Universitat Autònoma de Barcelona）獲得計算機科學與工程學士學位、系統工程與自動化碩士學位及博士學位。在他短暫的研究生涯中，他專注於PID控制及基於穩健和最佳原則的簡單調整規則的分析推導。他還曾與張偉東教授和Sigurd Skogestad教授進行過兩次研究任命，幾乎完成數學學位，並在荷蘭擔任Marie Curie博士後職位。回到巴薩隆納後，'Salva'再擔任了一年的自動化與控制實務工作，然後最終轉向軟體開發。除了編程和一般的DevOps外，他目前的興趣包括流處理（Stream Processing）、機器學習（Machine Learning）以及函數式編程（Functional Programming）和範疇論（Category Theory）。

Ramon Vilanova Arbós 於1991年畢業於巴薩隆納自治大學（Universitat Autònoma de Barcelona），並於1996年通過同一大學獲得博士學位。目前，他是巴薩隆納自治大學工程學院的自動控制與系統工程全職教授，負責教授信號與系統、自動控制及自動化系統技術等課程。他的研究興趣包括PID調節器的調整方法、不確定系統、具有多自由度的控制系統分析、環境系統的應用以及機器與人之間介面的設計方法學的發展。他是多本書籍章節的作者，並在國際會議/期刊上發表了超過100篇論文。他是IFAC和IEEE-IES的成員，並且是工廠自動化技術委員會的成員。

Carles Pedret i Ferré 於1972年1月29日出生於西班牙塔拉戈納。他於1997年獲得電子工程學士學位，並於2003年獲得系統工程與自動化博士學位，均來自巴薩隆納自治大學（Universitat Autònoma de Barcelona）。他是巴薩隆納自治大學電信與系統工程系的副教授。他的研究興趣包括不確定系統、時間延遲系統和PID控制。

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