Neural net-based controller for flutter suppression using ASTROS with smart structures

Changho Nam; P. C. Chen; Danny D. Liu; Aditi Chattopadhyay; Jongsun Kim

doi:10.1117/12.388808

22 June 2000 Neural net-based controller for flutter suppression using ASTROS with smart structures

Changho Nam, P. C. Chen, Danny D. Liu, Aditi Chattopadhyay, Jongsun Kim

Proceedings Volume 3985, Smart Structures and Materials 2000: Smart Structures and Integrated Systems; (2000) https://doi.org/10.1117/12.388808
Event: SPIE's 7th Annual International Symposium on Smart Structures and Materials, 2000, Newport Beach, CA, United States

Abstract

Recent development of a smart structures module and its successful integration with a multidisciplinary design optimization software ASTROS* and an Aeroservoelasticity (ASE) module is presented. A modeled F-16 wing using piezoelectric (PZT) actuators was used as an example to demonstrate the integrated software capability to design a flutter suppression system. For an active control design, neural network based robust controller will be used for this study. A smart structures module is developed by modifying the existing thermal loads module in ASTROS* in order to include the effects of the induced strain due to piezoelectric (PZT) actuation. The thermal-PZT equivalence model enables the modifications of the thermal stress module to accommodate the smart structures module in ASTROS*. ZONA developed the control surface (CS)/PZT equivalence model principle, which ensures the interchangeability between the CS force input and the PZT force input to the ASE modules in ASTROS*. The results show that the neural net based controller can increase the flutter speed.

Citation Download Citation

Changho Nam, P. C. Chen, Danny D. Liu, Aditi Chattopadhyay, and Jongsun Kim "Neural net-based controller for flutter suppression using ASTROS with smart structures", Proc. SPIE 3985, Smart Structures and Materials 2000: Smart Structures and Integrated Systems, (22 June 2000); https://doi.org/10.1117/12.388808

ACCESS THE FULL ARTICLE

INSTITUTIONAL
Select your institution to access the SPIE Digital Library.

SELECT YOUR INSTITUTION

PERSONAL
Sign in with your SPIE account to access your personal subscriptions or to use specific features such as save to my library, sign up for alerts, save searches, etc.

PERSONAL SIGN IN

No SPIE Account? Create one

PURCHASE THIS CONTENT

SUBSCRIBE TO DIGITAL LIBRARY

50 downloads per 1-year subscription

Members: $195

Non-members: $335 ADD TO CART

25 downloads per 1 - year subscription

Members: $145

Non-members: $250 ADD TO CART

PURCHASE SINGLE ARTICLE

Includes PDF, HTML & Video, when available