Paper
1 May 1996 Experimental active control results from the SPICES smart structure demonstrations
David S. Flamm, G. K. Toth, Kenneth C. Chou, Larry P. Heck, William C. Nowlin, Paul James Titterton Sr.
Author Affiliations +
Abstract
The final demonstrations of the ARPA SPICES (Synthesis and Processing of Intelligent Cost Effective Structures) program test the control of two active vibration mounts manufactured from composites with embedded actuators and sensors. Both mount demonstrations address wide band control problems for real disturbances, one at low frequency and the other at high frequency. The control systems for both are two-level hierarchies, with an inner active damping augmentation loop and an outer vibration control loop. We first review the control design requirements for the demonstration and summarize our control design approach. Then we focus on presenting the experimental results of the final demonstrations. For the low frequency demonstration, two alternative control approaches were demonstrated, one involving finite impulse response modeling and the other state space modeling. For the high frequency demonstration only the finite impulse response modeling approach was used because of computational limitations due to the complex system dynamics.
© (1996) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
David S. Flamm, G. K. Toth, Kenneth C. Chou, Larry P. Heck, William C. Nowlin, and Paul James Titterton Sr. "Experimental active control results from the SPICES smart structure demonstrations", Proc. SPIE 2721, Smart Structures and Materials 1996: Industrial and Commercial Applications of Smart Structures Technologies, (1 May 1996); https://doi.org/10.1117/12.239127
Lens.org Logo
CITATIONS
Cited by 1 scholarly publication.
Advertisement
Advertisement
RIGHTS & PERMISSIONS
Get copyright permission  Get copyright permission on Copyright Marketplace
KEYWORDS
Sensors

Actuators

Control systems

Signal attenuation

Received signal strength

Control systems design

Data modeling

Back to Top