Fixed-time adaptive fuzzy control scheme with prescribed tracking accuracy for uncertain nonlinear hysteretic systems

When the Preisach operator, a commonly used hysteresis model, is coupled with uncertain unparametrizable nonlinear dynamics of systems, its tracking control problem in particular with the demands for prescribed tracking accuracy and finite convergence time is challenging, and has not yet been solved in the existing literature. In this study, we focus on the problem, and develop a fixed-time adaptive fuzzy control scheme as a solution to it, based upon a novel decomposition of the Preisach model, the design of a robust control framework, and the integration of a direct adaptive fuzzy control approach. With our scheme, it can be rigorously proved that the tracking error goes to a predefined interval around zero in a bounded convergence time, and all signals in the closed-loop system are bounded. Besides theoretical analysis, the obtained results are also confirmed by experimental tests based on a real-life piezoactuated positioner. (c) 2023 The Franklin Institute. Published by Elsevier Inc. All rights reserved.

Automated summary

When the Preisach operator is coupled with uncertain unparametrizable nonlinear dynamics, the tracking control problem becomes challenging. This study proposes a fixed-time adaptive fuzzy control scheme to solve this problem. The scheme achieves bounded convergence time and ensures all signals in the closed-loop system are bounded.