Identification and robust control of smart structures are specified using artificial neural networks. To demonstrate the use of artificial neural networks in the control of smart structural systems, two smart structure test articles have been fabricated. Active materials like piezoelectric, polyvinylidene, and shape memory alloys are used as actuators and sensors. The Eigensystem Realization Algorithm (ERA), a structural identification method, has been used to determine a minimal order discrete time state space model of the test articles; the ERA requires the Markov parameters of physical system. The accelerated adaptive learning rate algorithm and the adaptive activation function are used to improve learning characteristics and reduce learning time. Finally, these identified models are then used to design robust controllers of smart structures.
|Number of pages||13|
|Journal||Journal of Intelligent Material Systems and Structures|
|State||Published - 1995|