Closed-loop fault-tolerant dynamic control allocation design and implementation

Area of Science:

• Control Engineering
• Fault-Tolerant Systems
• Aerospace Engineering

Background:

• Actuator faults can compromise control system performance and safety.
• Dynamic actuators with constraints require sophisticated allocation strategies.
• Existing methods may not adequately address effectiveness loss in actuators.

Purpose of the Study:

• To design a closed-loop fault-tolerant dynamic control allocation algorithm.
• To ensure accurate tracking of control inputs despite actuator faults.
• To develop a method for detecting and estimating actuator states and effectiveness factors.

Main Methods:

• A virtual control law is used as a baseline.
• A fault-tolerant dynamic control allocation algorithm is developed.
• A discrete iterative learning observer is constructed based on actuator dynamics.

Main Results:

• The algorithm optimally allocates virtual control demand to multiple actuators.
• The observer accurately and rapidly detects and estimates actuator states and effectiveness factors.
• Simulations demonstrate performance advantages in numerical and aircraft application cases.

Conclusions:

• The proposed fault-tolerant control approach ensures good tracking performance.
• The discrete iterative learning observer effectively handles actuator effectiveness loss.
• The method offers acceptable performance advantages for dynamic actuator control.