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Research on Ship Dynamic Positioning Control System Based on Stair-Like Implicit Predictive Control Algorithm

机译:基于阶梯隐式预测控制算法的船舶动态定位控制系统研究

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In this paper, the control method of dynamic positioning system is studied. The implicit general predictive control (GPC) algorithm is used to design the controller for the positioning vessel. Implicit algorithm does not need to solve complicated Diophantine equation online, thereby greatly reducing the computational complexity. But this traditional algorithm is flawed. On the one hand is still a large amount of computation, on the other hand is the need for matrix operations and in the calculation cannot guarantee the matrix reversible. And further problems of pathological values may arise. So there is a big security risk in actual industrial control. In this paper, a stair-like strategy is introduced into GPC as an improvement algorithm, which not only has the advantages of implicit GPC algorithm, but also avoid solving the inverse matrix online. Through the simulation results of the ship dynamic positioning system, it can be seen that the improved GPC algorithm has good performance, which improves the positioning accuracy and performance of the positioning system.
机译:本文研究了动态定位系统的控制方法。隐式通用预测控制(GPC)算法用于设计定位船的控制器。隐式算法无需在线求解复杂的Diophantine方程,从而大大降低了计算复杂度。但是这种传统算法是有缺陷的。一方面仍然是大量的计算,另一方面是需要矩阵运算并且在计算中不能保证矩阵可逆。并且可能产生病理学价值的其他问题。因此在实际的工业控制中存在很大的安全隐患。本文将一种阶梯式策略作为一种改进算法引入到GPC中,它不仅具有隐式GPC算法的优点,而且避免了在线求解逆矩阵。从船舶动态定位系统的仿真结果可以看出,改进的GPC算法具有良好的性能,提高了定位系统的定位精度和性能。

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