Research output: Contribution to Journal/Magazine › Journal article › peer-review
Research output: Contribution to Journal/Magazine › Journal article › peer-review
}
TY - JOUR
T1 - The use of 'particle swarm' to optimize the control system in a PZT laminated plate
AU - Montazeri, Allahyar
AU - Poshtan, Javad
AU - Yousefi-Koma, Aghil
PY - 2008/8
Y1 - 2008/8
N2 - In many active noise and vibration control systems it is desired to reduce the vibration and also the noise emitted by flexible structures. With this objective the task of the controller is to control the maximum number of modes allowed by the control system's limitations. Some of the key parameters in the control system design for this purpose are the location, number and size of actuators and sensors on a flexible structure. In this paper a simply-supported thin plate with laminated piezoelectric sensors and actuators is studied for noise and vibration attenuation. For this purpose, a performance index based on Hankel singular values of the system is selected. The resulting nonlinear optimization problem is solved using a new particle swarm optimization (PSO) algorithm. The results are compared with a genetic algorithm and verified with a simple state-feedback controller.
AB - In many active noise and vibration control systems it is desired to reduce the vibration and also the noise emitted by flexible structures. With this objective the task of the controller is to control the maximum number of modes allowed by the control system's limitations. Some of the key parameters in the control system design for this purpose are the location, number and size of actuators and sensors on a flexible structure. In this paper a simply-supported thin plate with laminated piezoelectric sensors and actuators is studied for noise and vibration attenuation. For this purpose, a performance index based on Hankel singular values of the system is selected. The resulting nonlinear optimization problem is solved using a new particle swarm optimization (PSO) algorithm. The results are compared with a genetic algorithm and verified with a simple state-feedback controller.
KW - ACTUATOR
KW - SENSOR PLACEMENT
KW - FLEXIBLE STRUCTURES
KW - OPTIMAL SENSOR/ACTUATOR PLACEMENT
KW - ALGORITHM
U2 - 10.1088/0964-1726/17/4/045027
DO - 10.1088/0964-1726/17/4/045027
M3 - Journal article
VL - 17
JO - Smart Materials and Structures
JF - Smart Materials and Structures
SN - 0964-1726
IS - 4
M1 - 045027
ER -