Development of model-based multispectral controllers for smart material systems

Byeongil Kim; Gregory N. Washington

doi:10.1117/12.816404

3 April 2009 Development of model-based multispectral controllers for smart material systems

Byeongil Kim, Gregory N. Washington

Proceedings Volume 7286, Modeling, Signal Processing, and Control for Smart Structures 2009; 72860D (2009) https://doi.org/10.1117/12.816404
Event: SPIE Smart Structures and Materials + Nondestructive Evaluation and Health Monitoring, 2009, San Diego, California, United States

Abstract

The primary objective of this research is to develop novel model-based multispectral controllers for smart material systems in order to deal with sidebands and higher harmonics and with several frequency components simultaneously. Based on the filtered-X least mean square algorithm, it will be integrated with a nonlinear model-based controller called model predictive sliding mode control. Their performance will be verified in simulation and with various applications such as helicopter cabin noise reduction. This research will improve active vibration and noise control systems used in engineering structures and vehicles by effectively dealing with a wide range of multispectral signals.

Citation Download Citation

Byeongil Kim and Gregory N. Washington "Development of model-based multispectral controllers for smart material systems", Proc. SPIE 7286, Modeling, Signal Processing, and Control for Smart Structures 2009, 72860D (3 April 2009); https://doi.org/10.1117/12.816404

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