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Fuzzy logic PID based control design for a biomimetic underwater vehicle with two undulating long-fins

机译:具有两个起伏长鳍的仿生水下航行器的基于模糊逻辑PID的控制设计

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This paper proposes a fuzzy logic PID based control method for a biomimetic underwater vehicle on swimming speed and yaw angle. The vehicle has a pair of long-fins installed symmetrically on its body. A set of inertial sensors are applied for collecting its velocity and pose information. And an embedded control system and a driving system based on FPGA are designed for generating and switching motion modes. Based on its motion discipline and system architecture, black-box identification is employed for system modeling. Therefore, according to the control system and driving system, a fuzzy logic PID control scheme is proposed for the underwater vehicle. A fuzzy logic controller is applied for the vehicle before the error is reduced to a given range. Then PID controller is applied when the error is within the given range. Here, velocity control is considered, which involves swimming speed and yaw angle. The fuzzy logic PID control scheme is used for the goals respectively. And Yaw angle control is prior to the swimming speed control. Finally, simulation results show the proposed control scheme is valid.
机译:针对仿生水下航行器的游泳速度和偏航角,提出了一种基于模糊逻辑PID的控制方法。车辆在车身上对称地安装有一对长鳍。应用了一组惯性传感器来收集其速度和姿态信息。设计了一种基于FPGA的嵌入式控制系统和驱动系统,用于产生和切换运动模式。根据其运动规律和系统架构,将黑匣子识别用于系统建模。因此,根据控制系统和驱动系统,提出了一种用于水下航行器的模糊逻辑PID控制方案。在误差减小到给定范围之前,将模糊逻辑控制器应用于车辆。然后,当误差在给定范围内时,将应用PID控制器。在此,考虑速度控制,这涉及游泳速度和偏航角。目标分别采用模糊逻辑PID控制方案。偏航角控制在游泳速度控制之前。最后,仿真结果表明所提出的控制方案是有效的。

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