26 April 1996 Active control of blade-vortex interactions using a neuro-fuzzy controller
Author Affiliations +
Abstract
Rotorcraft blade-vortex interactions (BVI) result in large pressure fluctuations over rotor blades leading to increased unsteady blade loads, noise, and vibration. Previous studies have indicated that an effective method for reducing BVI is through the use of active control schemes. As a workable dynamic model of the process for controller design is difficult to develop a rule-based fuzzy controller is used in this study. As the choice of the fuzzy controller parameters for acceptable performance depend on flight condition, a neural network is trained to adaptively modify the fuzzy controller parameters as a function of flight condition. The resulting neuro-fuzzy control scheme is evaluated using a numerical simulation model of BVI in order to demonstrate the effectiveness of the proposed scheme.
© (1996) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Ramesh Swaminathan, J. V. R. Prasad, L. N. Sankar, "Active control of blade-vortex interactions using a neuro-fuzzy controller", Proc. SPIE 2779, 3rd International Conference on Intelligent Materials and 3rd European Conference on Smart Structures and Materials, (26 April 1996); doi: 10.1117/12.237076; https://doi.org/10.1117/12.237076
PROCEEDINGS
4 PAGES


SHARE
RELATED CONTENT

Optimal self-tuning fuzzy controller
Proceedings of SPIE (December 22 1995)
A neuron model free controller with fuzzy tuning gain for...
Proceedings of SPIE (September 02 2003)
Process control with neural networks: an example
Proceedings of SPIE (September 16 1992)
Neural network internal model process control
Proceedings of SPIE (April 15 2008)

Back to Top