Control Performance Management in Industrial Automation: by Mohieddine Jelali

By Mohieddine Jelali

Control functionality administration in business Automation provides a coherent and self-contained remedy of a bunch of tools and functions of burgeoning significance to the detection and resolution of issues of keep an eye on loops which are important in holding product caliber, operational protection, and potency of fabric and effort intake within the technique industries. The monograph offers with all elements of keep watch over functionality administration (CPM), from controller overview (minimum-variance-control-based and complex methods), to detection and prognosis of keep watch over loop difficulties (process non-linearities, oscillations, actuator faults), to the development of keep an eye on functionality (maintenance, re-design of loop parts, computerized controller re-tuning). It offers a contribution in the direction of the advance and alertness of thoroughly self-contained and automated methodologies within the box. in addition, inside of this paintings, many CPM instruments were constructed that is going a long way past to be had CPM packages.

Control functionality administration in business Automation:

· offers a entire evaluation of keep watch over functionality evaluation methods;

· develops tools and systems for the detection and analysis of the root-causes of terrible functionality in advanced keep watch over loops;

· covers very important matters that come up whilst making use of those evaluate and analysis methods;

· recommends new ways and strategies for the optimization of keep an eye on loop functionality in keeping with the result of the keep watch over functionality degree; and

· bargains illustrative examples and commercial case stories drawn from – chemical compounds, construction, mining, pulp and paper, mineral and steel processing industries.

This ebook should be of curiosity to educational and commercial employees engaged on keep watch over platforms layout, upkeep or optimisation in all technique industries.

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Extra info for Control Performance Management in Industrial Automation: Assessment, Diagnosis and Improvement of Control Loop Performance

Example text

2002 Grimble: GMV benchmark; restricted-structure assessment. (2000). The Harris concept has been applied in various process control applications over all process industry sectors and is still the standard for benchmarking control loops. Extensions of the Harris index to unstable and non-minimum-phase systems were reported by Tyler and Morari (1995, 1996), who introduced statistical likelihood ratio tests. Lynch and Dumont (1996) used Laguerre networks to evaluate the performance index. Soon, the drawbacks of minimum variance benchmarking have been recognised and several modified versions of the Harris index introduced.

In the performance assessment of MIMO feedback systems, the so-called interactor matrix plays an important role. The assumption that the interactor matrix be known turned out to be a major restriction on the generality of the method, since its estimation is quite involved and the accuracy problematic in general. Thus, it is highly desirable to surmount the problem. Approaches in this practical direction have been proposed by Ettaleb (1999), Ko and Edgar (2001b), McNabb and Qin (2003) and recently Huang et al.

6 to be expressed as nε Gε (q) = ∞ ei q −i + enε q −i . e. 8) i=0 with d0 = e0 = 1, di = ei − ei−1 for i = 1, 2, . . , nε . 1 Note on Input–Output Models Following the system identification and control performance monitoring literature, the polynomial operator form is used throughout this book for the description of input–output models. This makes use of the backwards-shift (or unit delay) operator q −1 defined as q −1 f (k) = f (k − 1). 9) thus becomes 1 + a1 q −1 + · · · + an q −n y(k) = b0 + b1 q −1 + · · · + bm q −m u(k).

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