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The nominal "tuning constants" and the "gain schedule" are found from one relay feedback experiment.
With this model structure, the tuning constants and the gain schedule (from the estimated titration curve) can be determined from a relay feedback experiment.
Based on choke opening and mud flow rate, an appropriate controller is selected by utilizing a gain schedule.
Using the characteristic structure of the nonlinear model, a predictive feedback controller based on a gain schedule technique is incorporated in the design to achieve the performance objectives.
The performance of the proposed fuzzy-predictive controller is compared to a gain schedule PI controller and a mixed H2/H∞ controller.
Similar(55)
The design of a gain scheduled compensator is also proposed.
Also robustness and its relation with gain scheduling are treated.
Among them, this paper focuses on the gain scheduling law.
Gain scheduling is proposed based on the servo speed measurements.
A dynamic gain scheduling (DGS) algorithm is proposed to specifically address this constraint.
We show further that the gain scheduling controller yields best performance.
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