Fixed-time command filtered output feedback control for twin-roll inclined casting system with prescribed...

Area of Science:

• Control Engineering
• Materials Science
• Artificial Intelligence

Background:

• Twin-roll inclined casting systems (TRICS) face challenges with disturbances and unmeasured states.
• Achieving precise control within a fixed settling time is crucial for system performance.

Purpose of the Study:

• To develop a fixed-time adaptive output feedback control strategy for TRICS.
• To address system uncertainties and unmeasured states using advanced control techniques.

Main Methods:

• Decoupling nonaffine functions using the mean value theorem.
• Employing radial basis function neural networks (RBFNNs) for approximating unknown system terms.
• Designing a nonlinear neural state observer for unmeasured states.
• Utilizing backstepping, prescribed performance, and command filtering for control design.

Main Results:

• The proposed control scheme guarantees fixed-time convergence for system performance.
• Settling time is determinable by control parameters, independent of initial states.
• All signals within the closed-loop system (CLS) remain bounded.
• Tracking errors are maintained within a predefined range in fixed time.

Conclusions:

• The developed adaptive output feedback control is effective for TRICS.
• The method ensures robust and precise control within a predictable fixed time.
• Simulation results validate the proposed control strategy's efficacy.