Discrete-time adaptive backstepping control: Application to pumping station

Abstract

This article proposes an application of a discrete-time adaptive backstepping control strategy for a hydraulic process pumping station. The proposed solution leads to improved control system performances in terms of pressure and flow tracking in transient and standstill operation and improvement of pressure response time. The proposed design methodology is based on accurate model for pumping station, which is developed in previous works using fuzzy-C means algorithm. The control law design is based on discrete-time adaptive backstepping control, which is developed in the sense of Lyapunov stability theory using sign function, in order to satisfy various objectives of a stable pumping station like the asymptotic stability of the tracking error. To validate the proposed solution, simulation and experimental tests are made and analyzed. Compared to the conventional proportional-integral approach, the results show that the discrete-time adaptive backstepping control allows exhibiting excellent transient response over a wide range of operating conditions and especially is easier to be implemented in practice.

Adaptive neural back-stepping control of flexible air-breathing hypersonic vehicles with parametric uncertainties

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Adaptive proportional-integral fuzzy logic controller of electric motor drive

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