An approach to improving maneuver performance of coning algorithm

Aiming to improve the maneuver performance of the strapdown inertial navigation attitude coning algorithm a new coning correction structure is constructed by adding a sample to the traditional compressed coning correction structure. According to the given definition of classical coning motion the residual coning correction error based on the new coning correction structure is derived. On the basis of the new structure the frequency Taylor series method is used for designing a coning correction structure coefficient and then a new coning algorithm is obtained.Two types of error models are defined for the coning algorithm performance evaluation under coning environments and maneuver environments respectively.Simulation results indicate that the maneuver accuracy of the new 4-sample coning algorithm is almost double that of the traditional compressed 4-sample coning algorithm. The new coning algorithm has an improved maneuver performance while maintaining coning performance compared to the traditional compressed coning algorithm.

应用于高效雾气收集的润滑微沟槽锥

液滴在不对称一维表面的定向输送具有广泛应用,包括雾气收集、油水分离、海水淡化及传感等.液滴所受的驱动力和阻力共同作用决定液滴的运动性能,为提高液滴的运动性能,常见的策略是通过在运动方向引入各种不对称结构以增加驱动力,或者构建光滑表面以减少阻力.然而,到目前为止将增强驱动力和降低阻力同时整合到一个体系中的策略仍未见报道,这主要是由于传统的液体填充润滑表面所需的润滑油很难在物理或化学不对称的表面上稳定存在.本研究中,我们提出在具有微沟槽结构的锥表面接枝柔性聚合物分子刷,即通过协同表面结构和化学修饰来增大液滴在锥结构表面拉普拉斯驱动力并减小粘滞阻力.结果表明,与仅具有微沟槽结构的锥和仅具有聚合物分子刷的光滑锥相比,润滑微沟槽锥可显著提高液滴的运动性能,本研究为开发高效液滴运输智能表面提供了新思路.