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Three-dimensional tracking control of autonomous underwater vehicles with limited torque and without velocity sensors

机译:无扭矩,无速度传感器的水下自动航行器的三维跟踪控制

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Most of the previous works on the motion control of autonomous underwater vehicles (AUVs) assume that (i) the vehicle actuators are able to tolerate every level of the control signals, and (ii) the vehicle is equipped with the velocity sensors in all degrees of freedom. These assumptions are not desirable in practice. Toward this end, this paper addresses the trajectory tracking control of the underactuated AUVs with the limited torque, without the velocity measurements and under environmental disturbances in a three-dimensional space. At first, a variable transformation is introduced which helps us to derive a second-order dynamic model for underactuated AUVs. Then, a saturated tracking controller is proposed by employing the saturation functions to bound the closed-loop error variables. This technique reduces the risk of the actuators saturation by decreasing the amplitude of the generated control signals. In addition, a nonlinear saturated observer is introduced to remove the velocity sensors from the control system. The proposed controller copes with the uncertain vehicle parameters, and constant or time-varying environmental disturbances induced by the waves and ocean currents. Lyapunov's direct method is used to show the semi-global uniform ultimate boundedness of the tracking and state estimation errors. Finally, some simulation results illustrate the effectiveness of the proposed controller.
机译:先前有关自主水下航行器(AUV)的运动控制的大多数工作都假设(i)车辆执行器能够承受所有级别的控制信号,并且(ii)车辆在各个角度都装有速度传感器自由。这些假设在实践中是不可取的。为此,本文提出了在有限的转矩下对欠驱动AUV的轨迹跟踪控制,而在三维空间中没有速度测量和环境干扰的情况。首先,引入变量转换,这有助于我们推导欠驱动AUV的二阶动力学模型。然后,提出了一种饱和跟踪控制器,它通过使用饱和函数来限制闭环误差变量。该技术通过减小生成的控制信号的幅度来降低执行器饱和的风险。另外,引入了非线性饱和观测器以从控制系统中移除速度传感器。拟议中的控制器可应对不确定的车辆参数以及由波浪和洋流引起的恒定或随时间变化的环境干扰。李雅普诺夫的直接方法用于显示跟踪和状态估计误差的半全局一致最终有界性。最后,一些仿真结果说明了所提出控制器的有效性。

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