Adaptive Control for a Microgravity Vibration Isolation System

Microgravity Science Glovebox (MSG) Method

Most active vibration isolation systems that try to a provide quiescent acceleration environment for space-science experiments have utilized linear design methods. In this research, we address adaptive control augmentation of an existing classical controller that combines a high-gain acceleration inner-loop feedback together with a low-gain position outer-loop feedback to regulate the platform about its center position.
The control design considers both parametric and dynamic uncertainties because the isolation system must accommodate a variety of payloads having different inertial and dynamic characteristics. An important aspect of the design is the accelerometer bias. Two neural networks are incorporated to adaptively compensate for the uncertainties within the acceleration and the position loop. A novel feature in the design is that high-band pass and low pass filters are applied to the error signal used to adapt the weights in the neural network and the adaptive signals, so that the adaptive processes operate over targeted ranges of frequency.
This prevents the inner and outer loop adaptive processes from interfering with each other. Simulations show that adaptive augmentation improves the performance of the existing acceleration controller and at the same time reduces the maximal position deviation and thus also improves the position controller.

g-LIMIT

Control objective

The g-LIMIT is required to transmit low-frequency accelerations to move with the space vehicle while rejecting high-frequency disturbances for quiescent experimental environment.

Existing Controllers

To achieve the above objective, the existing control system consists of a high-gain acceleration controller in an inner-loop and a low-gain position controller to center the platform in an outer-loop.

Collaborators

The research was supported by NASA Marshall Space Flight Center, and Dr.
Young Kim and Dr. Mark S. Whorton at NASA MSFC collaborated with us.

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