Piezoelectric elements are effective as actuators for the control of vibration and noise in the cabins of aircraft subject to external vibro-acoustic excitation. A new attempt to improve the performance of the actuators is carried out using an automated optimization procedure to configure the piezoelectric elements into individual control groups, each supplied with an independent control signal. The use of grouping has the advantage that the control system can be simplified and the resulting control authority may be greater. Such a strategy is explored in this study where individual piezoelectric elements installed on an aircraft frame are manipulated to form several actuator groups with control forces assigned to minimize the noise and vibration caused by a simulated propeller sound field. The optimal grouping and placement of actuators is quantitatively determined by a specially designed genetic algorithm. A coding scheme is implemented to allow for the flexibility of having multiple actuator groupings and having variable actuator elements in a group. A micro-genetic algorithm strategy is incorporated to improve the diversity of the population members during the search and optimization process. The algorithm is efficient in identifying configurations of actuator groups that have good performance for noise and vibration suppression.


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    Optimization of Piezoelectric Actuator Grouping for Aircraft Cabin Noise Control

    Grewal, A. / Leigh, B. / Tse, D. et al. | British Library Conference Proceedings | 2000