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A tracking control method with thruster fault tolerant control for unmanned underwater vehicles

机译:具有推进器容错控制的无人水下航行器跟踪控制方法

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In this paper, a tracking control method with thruster fault tolerant control is proposed for unmanned underwater vehicles. First, a cascaded control method is briefly introduced for the robust tracking control. Then it deals with the tracking control problem when thrusters have faults. For the cases that thrusters are completely malfunctioned, different control strategies are used to reallocate the thruster forces. Weighted pseudo inverse and quantum particle swarm optimization (QPSO) is introduced to do the hybrid fault tolerant control for different cases. To perform an appropriate control reallocation, an infinity norm cost function is introduced in QPSO as the optimization criterion to find the solution of the control reallocation problem within the limits. Compared with the weighted pseudo-inverse method, the QPSO algorithm does not need truncation or scaling to ensure the feasibility of the solution because its particles search for the solution in the feasible space. The proposed controller is implemented in order to evaluate its performance in different faulty situations and the efficiency is demonstrated through simulations results.
机译:针对无人水下航行器,提出了一种具有推进器容错控制的跟踪控制方法。首先,简要介绍了用于鲁棒跟踪控制的级联控制方法。然后处理推进器故障时的跟踪控制问题。对于推进器完全故障的情况,可以使用不同的控制策略来重新分配推进器力。引入加权伪逆和量子粒子群算法(QPSO)对不同情况进行混合容错控制。为了执行适当的控制重新分配,在QPSO中引入了无穷范数成本函数作为优化准则,以在限制范围内找到控制重新分配问题的解决方案。与加权伪逆方法相比,QPSO算法不需要截断或缩放以确保解决方案的可行性,因为它的粒子在可行的空间中搜索解决方案。所提出的控制器的实现是为了评估其在不同故障情况下的性能,并通过仿真结果证明了效率。

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