Real-time adaptive control of nonlinear smart structural systems using neural networks

Rajendra R. Damle, Vittal S. Rao

Research output: Chapter in Book/Report/Conference proceedingConference contribution

4 Scopus citations

Abstract

Neural network based controllers for vibration suppression of smart structural systems have been reported in several recent studies. These studies have shown that in addition to conventional controller design methodologies, neural networks offer an effective basis for design and implementation of controllers. With the introduction of neural network chips like the electronically trainable analog neural network (ETANN) chip i80170NX by Intel and the Ni1000 chip by Nestor Corp., stand alone hardware implementation of neural network based controllers is possible. In this paper the capabilities of Intel's ETANN chip to implement linear and nonlinear controllers for smart structural systems have been investigated. A neural network based optimizing controller design methodology that integrates the ETANN chip and its capabilities of on-line adaptation has been developed. Apriori information of the smart structural systems such as actuator/sensor bandwidth limits and control effort limits can be directly accommodated in this method. Simulation studies of the performance of a closed loop time varying linear and nonlinear system has also been presented with and without on-line adaptation.

Original languageEnglish
Title of host publicationProceedings of SPIE - The International Society for Optical Engineering
PublisherSociety of Photo-Optical Instrumentation Engineers
Pages34-44
Number of pages11
ISBN (Print)0819424528
StatePublished - Dec 1 1997
EventSmart Structures and Materials 1997: Mathematics and Control in Smart Structures - San Diego, CA, USA
Duration: Mar 3 1997Mar 6 1997

Publication series

NameProceedings of SPIE - The International Society for Optical Engineering
Volume3039
ISSN (Print)0277-786X

Conference

ConferenceSmart Structures and Materials 1997: Mathematics and Control in Smart Structures
CitySan Diego, CA, USA
Period03/3/9703/6/97

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Damle, R. R., & Rao, V. S. (1997). Real-time adaptive control of nonlinear smart structural systems using neural networks. In Proceedings of SPIE - The International Society for Optical Engineering (pp. 34-44). (Proceedings of SPIE - The International Society for Optical Engineering; Vol. 3039). Society of Photo-Optical Instrumentation Engineers.