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Comparison of Different Course Controllers of Biomimetic Underwater Vehicle with Two Tail Fins

机译:两条尾鳍不同课程控制器的比较两条尾部

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In recent times, we may notice some new designs of underwater vehicles which imitate living underwater organisms, e.g. a fish, a seal. These vehicles are called biomimetic. They are driven by an undulating propulsion, imitating a wavy motion of underwater creatures. The Biomimetic Underwater Vehicles (BUV) is a new control object in an underwater robotics. In the paper, problem of BUV's course control is taken into account. The classical Proportional-Integral-Derivative (PID) and Slide Mode (SM) controllers are compared. The settings of the controllers are tuned using three different optimization methods: the Genetic Algorithm (GA), the Particle Swarm Optimization (PSO) and the Pareto Search Algorithm (PSA). The research has been conducted using the mathematical model of mini CyberSeal driven by two side and two tail fins.
机译:近来,我们可能会注意到一些新的水下车辆设计,它模仿水下生物,例如, 一条鱼,封印。 这些车辆被称为仿生。 它们是由起伏推进驱动的,模仿水下生物的波浪运动。 仿生水下车辆(BUV)是水下机器人中的新控制对象。 在本文中,考虑了BUV课程控制的问题。 比较经典的比例积分衍生物(PID)和滑动模式(SM)控制器。 使用三种不同的优化方法调出控制器的设置:遗传算法(GA),粒子群优化(PSO)和Pareto搜索算法(PSA)。 已经使用两侧和两条尾鳍驱动的迷你网络元数学模型进行了研究。

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