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Generation of Movement for Multi-link Propulsion Mechanism in Fluid

机译:流体中多连杆推进机构运动的产生

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We have made a multilink propulsion mechanism in high viscous fluidrnmodeled on anguilliform swimming, and aimed to develop thernmovement generator to fit the changing locomotion task andrnsurrounding environment. As the first stage for the development of thernmovement generator, we conducted the generation of the movement tornprovide greater and stable thrust force of the propulsion mechanism. Arnsimple model of central pattern generators (CPGs) of neurons in thernorganisms was applied for the generation of the movement. To acquirernthe movement for greater and stable thrust force, computation of thernoptimization applying the genetic algorithm (GA) was carried out. Torncompensate the error of the calculation of thrust force, the optimizedrnmovement by the computation was set as the initial data for thernoptimization by use of actual propulsion mechanism applying the hillclimbingrnmethod.
机译:我们已经建立了一种在高粘性流体中模仿伞形游泳的多连杆推进机制,旨在开发运动发生器来适应不断变化的运动任务和周围环境。作为热力产生器发展的第一阶段,我们进行了热力产生的产生,以提供更大且稳定的推进力推力。运动有机体中神经元的中央模式发生器(CPG)的Arnsimple模型被应用。为了获得更大,更稳定的推力运动,进行了遗传算法(GA)的优化计算。用Torn补偿推力计算的误差,通过实际应用山坡爬升法的推进机制,将通过计算得到的最佳运动作为优化的初始数据。

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