Robust design optimization of a nonlinear monostable energy harvester with uncertainties

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Abstract

Based on the improved interval extension, a robust optimization method for nonlinear monostable energy harvesters with uncertainties is developed. In this method, the 2nd order terms in the interval extension formula of the objective function (output voltage) are kept so this approach is suitable for a nonlinear energy harvesting system. To illustrate this method, uncertain mass, uncertain capacitance and uncertain electromechanical coupling coefficient are optimized to maximize the central point of output voltage whose deviation of which is simultaneously minimized. Then, an optimal design with different robustness is obtained. The results also show that the robustness of the optimal design of nonlinear monostable energy harvesters is increased, but the cost of performance has to be paid for. Overall, the framework provides the optimal design for nonlinear energy harvesters (monostable, bistable, tristable, multistable harvesters).

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Li, Y., Zhou, S., & Litak, G. (2020). Robust design optimization of a nonlinear monostable energy harvester with uncertainties. Meccanica, 55(9), 1753–1762. https://doi.org/10.1007/s11012-020-01216-z

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