Allocation optimization of actuators in cabin shell active vibration isolation system

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Journal of Vibration and Shock ›› 2024, Vol. 43 ›› Issue (1) : 91-98.

WU Di1, XIE Xiling2, ZHANG Zhiyi1,2

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Abstract

An approach is proposed to search the minimum number of actuators for an active vibration isolation platform-cabin shell system. Based on the established dynamic model of the multi-channel active vibration isolation system, the optimal allocation of actuators in this approach is described as a 0-1 nonlinear programming problem, in which the active/silent state of the actuators are independent variables and the objective function is constructed from the system responses. The teaching-learning based optimization algorithm (TLBO) is used to find the optimal actuator allocation. The optimization is carried out to verify the effectiveness of the proposed method, and the numerical results show that the vibration and acoustic radiation of the shell can be suppressed by part of the actuators in a specific excitation.

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Active vibration control / Teaching-learning based optimization (TLBO) / Allocation optimization

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WU Di1, XIE Xiling2, ZHANG Zhiyi1,2. Allocation optimization of actuators in cabin shell active vibration isolation system[J]. Journal of Vibration and Shock, 2024, 43(1): 91-98

References

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