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

缺陷

Detection of Oscillating Control Loopsace 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

Pruritus

Detection of Loop Nonlinearitiesse 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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Diagnosis of Stiction-Related Actuator Problemsll 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

厚脸皮

constellation

Performance Monitoring and Improvement Strategiesntrol or process/plant performance. Even in the case where the loop is found to work at acceptable performance level, it is useful to know how the performance can be improved to attain top level. In this chapter, possible performance improvement measures are briefly discussed. Some paradigms and str

Thyroiditis

stress-response

容易做

Von CIM zur Unternehmensintegrationnce control (MVC) for single feedback control and for combined feedback and feedforward control loops. The extension of MV assessment to the assessment of set-point tracking and cascade control is also provided. All methods presented are illustrated using many examples.

REP

Ein Projekt bei FAG Kugelfischer,ia: settling time and IAE indices gained from set-point response data, the idle index for detection of sluggish control, and the area index for evaluating deterministic load-disturbance rejection performance. These techniques are compared and discussed using simulation examples.

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