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The Research of the AUV Navigation Control System based on the LS-SVM

机译:基于LS-SVM的AUV导航控制系统的研究

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to successfully control the depth and attitude of the AUV precisely, it is extremely important to study the algorithm of the control. The LS-SVM has been successfully used to predictive control on small samples, nonlinear data. It is presented the predictive model methodology in the paper. The control results are influenced by the parameters on the LS-SVM. They are optimized by genetic algorithm, according to root mean square relative error. The AUV control on LS-SVM is including the direction, depth, trims and roll movement. And the AUV depth control, for example, is predicted by the LS-SVM predictive methodology in detail. For validating the designed control algorithm, related simulations and experiments have been carried out on the AUV control system. Analytical results show that the proposed control system accomplishes precise depth control of the AUV, providing a necessary theoretical basis for further study of the dynamic control problem for AUV on small sample.
机译:为了成功地精确控制AUV的深度和姿态,研究控制算法非常重要。 LS-SVM已成功用于小样本非线性数据的预测控制。本文提出了一种预测模型方法。控制结果受LS-SVM上参数的影响。根据均方根相对误差,通过遗传算法对它们进行了优化。 LS-SVM的AUV控件包括方向,深度,修剪和横滚运动。并且,例如,通过LS-SVM预测方法对AUV深度控制进行了详细预测。为了验证设计的控制算法,已经在AUV控制系统上进行了相关的仿真和实验。分析结果表明,所提出的控制系统实现了对水下机器人的精确深度控制,为进一步研究小样本水下机器人的动态控制问题提供了必要的理论基础。

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