An improved compact-form antisaturation model-free adaptive control algorithm for a class of nonlinear systems with...

Area of Science:

• Control Engineering
• Nonlinear Systems Theory
• Industrial Automation

Background:

• Industrial processes often face challenges with time-delay and actuator saturation, hindering precise control.
• Existing model-free adaptive control methods may not adequately address these combined issues.
• Developing robust control strategies is crucial for optimizing performance and safety in nonlinear plants.

Purpose of the Study:

• To propose an improved compact-form antisaturation model-free adaptive control (ICF-AS-MFAC) method.
• To effectively manage time-delay and actuator saturation problems in nonlinear industrial systems.
• To enhance the flexibility and responsiveness of control systems.

Main Methods:

• Utilizing the pseudo partial derivative (PPD) concept and equivalent dynamic linearization.
• Implementing a tracking differentiator for future output prediction in time-delay systems.
• Introducing a saturation parameter to design an antisaturation controller.

Main Results:

• The proposed ICF-AS-MFAC algorithm demonstrates increased flexibility and faster output responses for time-delay systems.
• Successfully resolves the issue of actuator saturation in control systems.
• Mathematical proofs confirm the convergence and stability of the developed method.

Conclusions:

• The ICF-AS-MFAC method offers a robust solution for controlling nonlinear plants with time-delay and actuator saturation.
• Validated through numerical simulations and experimental results on double tanks, demonstrating practical applicability.
• Presents a significant advancement in model-free adaptive control for industrial applications.