The Design of Adaptive Neural Controller for Flexible Multibody Structures

Abstract A distributive neural control system is advocated for flexible multibody structures. The proposed neural controller is designed to achieve trajectory slewing of structural member as well as vibration suppression for precision pointing capability. The proposed architecture which takes advantage of the geometric distribution of piezoceramic sensors and actuators has provided a tremendous freedom from computational complexity. The proposed control strategy is validated in the experimental facility, called the Planar Articulating Controls Experiment which consists of a two-link flexible planar beams constrained to move over a granite table.