PID Control New Identification and Design Methods /

• Main Authors: Crowe, J. (Author), Tan, K.K (Author), Lee, T.H (Author), Ferdous, R. (Author), Katebi, M.R (Author), Huang, H.-P (Author), Jeng, J.-C (Author), Tang, K.S (Author), Chen, G.R (Author), Man, K.F (Author), Kwong, S. (Author), Sánchez, A. (Author), Wang, Q.-G (Author), Zhang, Yong (Author), Zhang, Yu (Author), Martin, P. (Author), Grimble, M.J (Author), Greenwood, D.R (Author)
• Corporate Author: SpringerLink (Online service)
• Other Authors: Johnson, Michael A. (Editor), Moradi, Mohammad H. (Editor)
• Format: Electronic eBook
• Language: English
• Published: London : Springer London, 2005.
• Subjects: Engineering.; System theory.; Complexity, Computational.; Engineering design.; Control engineering.; Industrial engineering.; Production engineering.; Control.; Complexity.; Industrial and Production Engineering.; Engineering Design.; Systems Theory, Control.
• Physical Description: XXVIII, 544 p. online resource.
• ISBN: 9781846281488

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; chapter contributions ordered by the increasing quality of the model information used; novel PID control concepts for multivariable processes. PID Control will be useful to industry-based engineers wanting a better understanding of what is involved in the steps to a new generation of PID controller techniques. Academics wishing to have a broader perspective of PID control research and development will find useful pedagogical material and research ideas in this text. .