Abstract

This paper presents an improved adaptive genetic algorithm for integration optimization design of active vibration isolation system. During the operation of the algorithm, according to the individual fitness, the crossover rate and mutation rate make adaptive adjustments in accordance with the sigmoid function curve, and individuals of each generation are saved according to optimal preservation strategy. Computing results and simulation analysis show that the improved adaptive genetic algorithm has good computational efficiency and convergence effect, and it has good applicability and feasibility in the field of optimal design. The integrated optimization design which combines mechanical structural design and controller design can effectively improve the system performance.

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