Vanderbilt University Vibro-Acoustics Laboratory Distributed Control with Networked Embedded Systems Objectives Implementation of distributed, cooperative control using a networked embedded system. Of particular interest are the observation and control of distributed parameter systems: vibrations, acoustics, environmental etc. Critical issues : – Maximum sampling frequency is limited by network communication – Efficient distributed control design – Scalable control laws – Performance limited by partial system information

Vanderbilt University Vibro-Acoustics Laboratory Distributed Control with Networked Embedded Systems Computational Platform Prometheus PC/104 from Diamond Systems Corporation Linux or QNX OS Experimental Platforms Smart Structure Experiments of increasing complexity −Simply supported beam for basic algorithm development −Simply supported plate for more complex dynamics −Launch vehicle fairing for unknown dynamics and distributed system identification

Vanderbilt University Vibro-Acoustics Laboratory Distributed Control with Networked Embedded Systems Distributed Adaptive Algorithm Development Distributed adaptive system identification Distributed adaptive controller −Scalable control system design −Account for unknown dynamics and time-varying environment Results Minimum distributed controller processing time of around 1ms permits maximum sampling rate of 600Hz Scalable control laws that approach global control performance even with limited sensor information