Hierarchical Control for Microgravity Vibration Isolation System: Collision Avoidance and Execution Enhancement

• Published in: IEEE transactions on aerospace and electronic systems Vol. 60; no. 5; pp. 6084 - 6094
• Main Authors: Wang, Aixue, Wang, Shuquan, Wang, Guan, Ma, Guangcheng
• Format: Journal Article
• Language: English
• Published: New York IEEE 01.10.2024; The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
• Subjects: Actuator allocation optimization; Actuators; Aerodynamics; Aerospace electronics; Collision avoidance; Computational modeling; Control systems; Electromagnetics; hierarchical control strategy; Isolation systems; Microgravity; microgravity vibration isolation; Neural networks; prescribed performance function; Quadratic programming; Real-time programming; Resource management; state-constrained control; Vibration control; Vibrations
• ISSN: 0018-9251; 1557-9603
• DOI: 10.1109/TAES.2024.3400940

This article introduces a hierarchical control strategy for microgravity vibration isolation systems, focusing on enhancing vibration suppression and actuator efficiency. The strategy comprises two layers: the upper layer implements a state-constrained vibration suppression controller, employing a prescribed performance function to prevent physical collisions and stabilize the system within its six degrees of freedom. The lower layer optimizes actuator performance by efficiently allocating signals to electromagnetic actuators, utilizing an online dual neural network for real-time quadratic programming, ensuring computational efficiency. This hierarchical method not only achieves superior vibration isolation and collision prevention but also enhances actuator allocation and command tracking. The proposed strategy's effectiveness is validated through simulations, demonstrating significant improvements in vibration isolation performance, and supported by experimental results, revealing its practical feasibility.