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A new model of fuzzy CMAC network with application to the motion control of AUV

机译:模糊CMAC网络的一种新模型及其在水下机器人运动控制中的应用

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The control of autonomous underwater vehicles (AUV) presents a number of unique and formidable challenges. AUV dynamics is highly nonlinear, coupled, time varying and subject to hydrodynamic uncertainties and external disturbances such as current. In this paper, we presented a new type of controller for AUV motion control based on fuzzy cerebella model articulation controller (FCMAC). A nonlinear six degree-of-freedom equation of AUV motion was derived. The application of the designed FCMAC controller to AUV motion control was discussed and the simulation results shown that this algorithm possessed better dynamic performance and robustness than conventional PID strategy.
机译:自主水下航行器(AUV)的控制提出了许多独特而艰巨的挑战。 AUV动力学是高度非线性的,耦合的,随时间变化的,并且受流体动力学不确定性和外部干扰(例如电流)的影响。在本文中,我们提出了一种基于模糊小脑模型关节控制器(FCMAC)的新型AUV运动控制控制器。推导了非线性的AUV运动六自由度方程。讨论了所设计的FCMAC控制器在AUV运动控制中的应用,仿真结果表明,该算法具有比传统PID策略更好的动态性能和鲁棒性。

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