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Design Boundary Layer Thickness and Switching Gain in SMC Algorithm for AUV Motion Control

机译:用于AUV运动控制的SMC算法中的设计边界层厚度和切换增益

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摘要

Designing the boundary layer thickness and switching gain in the nonlinear part of sliding mode controller (SMC) is one of the main subjects in SMC design that needs human experience, knowledge on the amplitude of disturbances, and information about the bounds of system uncertainties. In this paper, to reduce the trial-and-error effort by the designer(s) two different fitness functions in the horizontal and vertical planes are presented and a heuristic method is used for their optimization. The optimal switching gain in the proposed approach properly compensates the unmodeled dynamics, model uncertainty, and external disturbances. Chattering phenomenon in control signals and noise measurement effect are reduced by the optimal selection of boundary layer thickness. This proposed method is applied to an autonomous underwater vehicle (AUV) and evaluated through the real-time and cost-effective manner. The execution code is implemented on a single-board computer (SBC) through the xPC Target and is evaluated by the processor-in-the-loop (PIL) test. The results of the PIL test in the two different test cases indicate that the chattering phenomenon and amplitude of control signal applied to the actuators are reduced in comparison with the three conventional approaches in the AUV motion control.
机译:在滑模控制器(SMC)的非线性部分中设计边界层厚度和开关增益是SMC设计的主要主题之一,需要人类经验,对干扰幅度的了解以及关于系统不确定性范围的信息。在本文中,为了减少设计者的反复试验,提出了水平和垂直平面上的两个不同的适应度函数,并使用启发式方法对其进行了优化。所提出的方法中的最佳开关增益适当地补偿了未建模的动力学,模型不确定性和外部干扰。通过选择边界层厚度,可以减少控制信号中的颤动现象和噪声测量效果。该方法应用于实时水下航行器(AUV),并通过实时且经济高效的方式进行评估。执行代码是通过xPC Target在单板计算机(SBC)上实现的,并通过处理器在环(PIL)测试进行评估。在两个不同的测试案例中,PIL测试的结果表明,与AUV运动控制中的三种常规方法相比,颤振现象和施加到执行器的控制信号的幅度有所降低。

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