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PID Tuning : A Modern Approach via the Weighted Sensitivity Problem

By: Carles Pedret i Ferr? (Author) , Ramon Vilanova Arb?s (Author) , Salvador Alc?ntara Cano (Author)

Manufacture on Demand

Ksh 29,150.00

Format: Hardback or Cased Book

ISBN-10: 036734372X

ISBN-13: 9780367343729

Publisher: Taylor & Francis Ltd

Imprint: CRC Press

Country of Manufacture: GB

Country of Publication: GB

Publication Date: Nov 20th, 2020

Publication Status: Active

Product extent: 154 Pages

Weight: 480.00 grams

Dimensions (height x width x thickness): 18.10 x 26.10 x 1.60 cms

Product Classification / Subject(s): Power generation & distribution
Circuits & components
Communications engineering / telecommunications

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  • Description

  • Reviews

PID Tuning: Weighted Sensitivity Problem presents an H8 design which avoids some of the limitations of the IMC method, devised to work well for plants of modest complexity, for which analytical PID tuning is plausible. To alleviate the usual difficulties, plain H8 weighted sensitivity problem has been used.

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

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