PID Control [electronic resource] :New Identification and Design Methods / by J. Crowe, K.K. Tan, T.H. Lee, R. Ferdous, M.R. Katebi, H.-P. Huang, J.-C. Jeng, K.S. Tang, G.R. Chen, K.F. Man, S. Kwong, A. Sánchez, Q.-G. Wang, Yong Zhang, Yu Zhang, P. Martin, M.J. Grimble, D.R. Greenwood ; edited by Michael A. Johnson, Mohammad H. Moradi.
by 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.]; Johnson, Michael A [editor.]; Moradi, Mohammad H [editor.]; SpringerLink (Online service).
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RD701-811 Anterior Knee Pain and Patellar Instability | RD701-811 Fracture Classifications in Clinical Practice | RC681-688.2 Cardiac CT Imaging | PID Control | QB1-991 Visual Astronomy Under Dark Skies | QA273.A1-274.9 Theory of Random Sets | T57-57.97 Perturbations of Positive Semigroups with Applications |
PID Control Technology -- Some PID Control Fundamentals -- On-line Model-Free Methods -- Automatic PID Controller Tuning — the Nonparametric Approach -- Relay Experiments for Multivariable Systems -- Phase-Locked Loop Methods -- Phase-Locked Loop Methods and PID Control -- Process Reaction Curve and Relay Methods Identification and PID Tuning -- Fuzzy Logic and Genetic Algorithm Methods in PID Tuning -- Tuning PID Controllers Using Subspace Identification Methods -- Design of Multi-Loop and Multivariable PID Controllers -- Restricted Structure Optimal Control -- Predictive PID Control.
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.
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