Fuzzy Finite-Time Command Filtered Control of Nonlinear Systems With Input Saturation

Area of Science:

• Control Systems Engineering
• Nonlinear Dynamics
• Fuzzy Logic Systems

Background:

• Nonlinear systems often exhibit complex dynamics requiring advanced control strategies.
• Input saturation is a common constraint in practical control systems, posing significant challenges.
• Finite-time control offers faster convergence than traditional asymptotic control.

Purpose of the Study:

• To address the fuzzy finite-time tracking control problem for nonlinear systems with input saturation.
• To develop a novel control approach that guarantees finite-time convergence.
• To enhance the performance and robustness of control systems under saturation.

Main Methods:

• A fuzzy finite-time command filtered backstepping approach was developed.
• Novel virtual control signals and modified error compensation signals were designed.
• Fuzzy logic was integrated with command-filtered backstepping for improved control.

Main Results:

• The proposed method ensures finite-time convergence of the system states.
• It effectively handles input saturation constraints.
• Demonstrated superior performance compared to conventional methods in a practical example.

Conclusions:

• The fuzzy finite-time command filtered backstepping approach is effective for nonlinear systems with input saturation.
• The method provides finite-time stability and accurate tracking.
• Offers a promising solution for real-world control applications.