An automated online monitor of control system performance

Venkataramanan, F.; Shukla, Vishal Kumar; Saini, Rahul; Rhinehart, R. Russell

doi:10.1109/acc.1997.610633

Cited by 4 publications

(1 citation statement)

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“…One cannot say that the closer the actual variance is to the minimum variance, the better the controller performs.There are other passive, data-based monitoring techniques. An automated on-line goodness of control performance monitor was proposed by Rhinehart [22][23][24]. The method uses a computationally simple, robust statistic, called the r-statistic, which is defined as the ratio of the expected variance of the deviation of the controlled variable from the setpoint to the expected variance based on the deviation between two consecutive process measurements.…”

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confidence: 99%

A relative performance monitor for process controllers

Whiteley

Rhinehart

2003

Adaptive Control & Signal

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A monitor is developed to automatically detect poor control performance. It provides a measure (relative performance index}RPI) of a control-loop performance relative to a reference model of acceptable control. The reference model simulates the controlled variable output of a user-defined, acceptably tuned control loop. The inputs to the reference model are the setpoints (same as the true plant) and the disturbances (estimated from the measurements). The monitor uses routine plant operation data only. Pending ability to obtain temporally accurate process models, and the validity of process measurements, simulations and experiments show that the monitor can detect the poor control performance caused by improper controller parameter values or changes in plant characteristics, and can distinguish it from poor performance caused by external disturbances.

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confidence: 99%