Titlebook: Control Performance Management in Industrial Automation; Assessment, Diagnosi Mohieddine Jelali Book 2013 Springer-Verlag London 2013 Contr

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Von CIM zur Unternehmensintegrationltivariable assessment can provide the right measure of performance improvement potential in the general case. In this chapter, methods for multivariable minimum-variance benchmarking are presented: it is shown how to use the interactor matrix to derive the multivariable variant of MVC; then the FCO

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https://doi.org/10.1007/978-3-642-93631-9n the loop, and thus highlight situations that show abnormal behaviour, i.e. statistically significant events or abnormalities. Indeed, understanding this variation may be a first step towards the improvement of controller performance. Since variation is present in any process, deciding when the var

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Ein Projekt bei FAG Kugelfischer,ace the bad performance to its root cause. Not only controller design and tuning but also other elements in the control systems, such as sensors and actuators, are often responsible for the poor performance. There are many reasons for poor control performance, which can be detected using specialised

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Von CIM zur Unternehmensintegrationse severe performance problems. For instance, stiction, hysteresis and dead-band in actuators, or faulty sensors can induce unwanted oscillations. Thus, it is recommended to evaluate “how linear (or nonlinear)” the closed loop under consideration actually is in an early step of the assessment proced

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https://doi.org/10.1007/978-3-642-93677-7ll control loops oscillate due to valve problems caused by valve nonlinearities, such as stiction, hysteresis, dead-band or dead-zone. Many control loops in process plants perform poorly due to valve static friction (.) as one of the most common equipment problems. Valve stiction in control loops ca

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W. A. Fach,H. Heuberger,H.-J. Beckerlve nonlinearity, particularly stiction. Even in the case where stiction is detected by applying any of the techniques described in Chap.?., it is desirable to quantify the extent of stiction. This chapter presents a novel technique for detection and estimation of valve stiction in control loops fro

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,Vergleichende Biochemie der C1-K?rper,is prone to degradation over time unless regular maintenance is undertaken. Typically, 30?% of industrial loops have poor tuning, and 85?% of loops have sub-optimal tuning. There are many reasons for the degradation of control loop performance, including changes in disturbance characteristics, inter