| 书目名称 | PID Control | | 副标题 | New Identification a | | 编辑 | J. Crowe,K.K. Tan,D.R. Greenwood,Michael A. Johnso | | 视频video | | | 图书封面 |  | | 描述 | .The effectiveness of proportional-integral-derivative (PID) controllers for a large class of process systems has ensured their continued and widespread use in industry. Similarly there has been a continued interest from academia in devising new ways of approaching the PID tuning problem. .. To the industrial engineer and many control academics this work has previously appeared fragmented; but a key determinant of this literature is the type of process model information used in the PID tuning methods. PID Control presents a set of coordinated contributions illustrating methods, old and new, that cover the range of process model assumptions systematically. After a review of PID technology, these contributions begin with model-free methods, progress through non-parametric model methods (relay experiment and phase-locked-loop procedures), visit fuzzy-logic- and genetic-algorithm-based methods; introduce a novel subspace identification method before closing with an interesting set of parametric model techniques including a chapter on predictive PID controllers. Highlights of PID Control include:..an introduction to PID control technology features and typical industrial implementations; | | 出版日期 | Book 2005 | | 关键词 | PID Control; Phase; algorithm; algorithms; control; control technology; design; development; fuzzy; fuzzy log | | 版次 | 1 | | doi | https://doi.org/10.1007/1-84628-148-2 | | isbn_softcover | 978-1-84996-897-3 | | isbn_ebook | 978-1-84628-148-8 | | copyright | Springer-Verlag London 2005 |
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发表于 2025-3-21 18:39:40
