To solve the problem that traditional surface adjustment methods struggle to balance multiple antenna performance requirements
a pretension optimization method for multi-objective assembly performance is proposed. Based on Lagrange equations
a system dynamic model is constructed
and a simplified simulation model is established through structural simplification and mechanical equivalence. Through antenna deployment and modal vibration simulations
the impact of vertical cable pretension on multi-objective assembly performance is revealed. A principle prototype was built and deployment experiments were conducted to verify the reliability of the simulation model. Low-order modes and surface accuracy were tested to calibrate the simulation model. A surrogate model is established using samples from parameter correlation simulation analysis. Finally
based on the surrogate model
cable tension configuration is optimized with peak abrupt torque
surface accuracy
and first-order natural frequency as optimization objectives
under constraints of preset surface accuracy and sample range. After optimization
antenna surface accuracy is improved by 16.5% compared to the baseline
meeting prototype design requirements. Peak deployment abrupt torque is reduced by 8%
and first-order natural frequency is decreased by 11.3%
effectively avoiding the resonance band. Thereby
the integrated collaborative regulation of shape and properties in antenna assembly is achieved.
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references
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