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Related Experiment Video

Updated: Sep 11, 2025

Design and Application of a Fault Detection Method Based on Adaptive Filters and Rotational Speed Estimation for an Electro-Hydrostatic Actuator

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

Hongyu Jing¹, Kemao Ma¹

¹Control and Simulation Center, National Key Laboratory of Complex System Control and Intelligent Agent Cooperation, Harbin Institute of Technology, Harbin, Heilongjiang 150080, PR China.

ISA Transactions

|August 15, 2025

Summary

This study presents a fault-tolerant control allocation algorithm for dynamic actuators. It ensures accurate control input tracking despite actuator faults, enhancing system reliability and performance.

Keywords:

Actuator dynamics Actuator faults Closed-loop fault-tolerant control allocation Fault detection and identification Iterative learning observer

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Last Updated: Sep 11, 2025

Design and Application of a Fault Detection Method Based on Adaptive Filters and Rotational Speed Estimation for an Electro-Hydrostatic Actuator

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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.