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Predictive control for submergence rescue vehicle station and attitude maneuver

机译:淹水救援车站和态度机动预测控制

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It is an important control process to operate motion of a submergence rescue vehicle (SRV). Seeing that the motion of the submergence rescue vehicle is special, it is necessary to employ non-linear predictive control system. For this reason, continuous dynamic performance of the system, the logical components and the operative restraints are expressed as the non-linear equations of state with the inequality restraints, and the model principle of hybrid system is introduced. It showed that the position and attitude of the SRV could be exactly controlled by means of non-linear model predictive control. The test in a model basin also proved that the above methods were efficient.
机译:它是操作淹没救援车辆(SRV)的运动的重要控制过程。看到淹没救援车辆的运动是特殊的,有必要采用非线性预测控制系统。因此,系统的连续动态性能,逻辑组件和操作系统表示为具有不等式限制状态的非线性方程,介绍了混合系统的模型原理。结果表明,SRV的位置和态度可以通过非线性模型预测控制恰好控制。模型盆地的测试还证明了上述方法是有效的。

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