10 papers analyzed
These studies suggest that adaptive control systems, including neural networks, sliding-mode controllers, and hybrid approaches, effectively manage spacecraft attitude control, ensuring stability, robustness, and fault tolerance under various conditions.
Spacecraft attitude control is a critical aspect of space missions, ensuring that spacecraft maintain the correct orientation for various operations. Adaptive control methods have been extensively researched to address uncertainties and disturbances in spacecraft dynamics. This synthesis explores various adaptive control strategies for spacecraft attitude control, highlighting key insights from multiple research papers.
Adaptive Control for Uncertain Parameters:
Neural Network-Based Adaptive Control:
Sliding Mode Control:
Fault-Tolerant Control:
Passivity-Based Adaptive Control:
Reconfigurable Control Systems:
Adaptive control methods are essential for managing the complex and uncertain dynamics of spacecraft. Techniques such as neural network-based control, sliding mode control, and passivity-based control provide robust solutions for maintaining spacecraft attitude. Additionally, fault-tolerant and reconfigurable control systems ensure consistent performance even in the presence of actuator faults and dynamic changes. These adaptive strategies collectively enhance the reliability and effectiveness of spacecraft attitude control systems.
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