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A novel control method based on fuzzy optimization algorithm of ship lateral motion control

机译:基于模糊优化算法的船舶横向运动控制新方法

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Considering the problem of ship lateral motion control, a novel method based on the closed-loop gain shaping algorithm and T-S fuzzy optimization algorithm is proposed. The T-S fuzzy optimization algorithm is applied in the weighted coefficients of roll and yaw in this paper. According to the closed-loop gain shaping algorithm, robust PID controllers to roll and yaw are designed and then they are combined into the lateral controller. Because of the loss of steering gear can be increase when the roll motion is controlled by rudder, T-S fuzzy algorithm is applied in the weighted coefficients optimization. The simulation results show that the controller has strong robustness and adaptation for ship lateral motion control as well as the loss of steering gear can be reduced by a rational selection of weighted coefficients. This method of ship lateral motion control provides a new theory for rudder roll stabilization and establishes a theoretical foundation for the application in practical engineering.
机译:针对船舶横向运动控制问题,提出了一种基于闭环增益整形算法和T-S模糊优化算法的新方法。将T-S模糊优化算法应用于横摆和横摆的加权系数。根据闭环增益整形算法,设计了用于横摇和横摆的鲁棒PID控制器,然后将它们组合到横向控制器中。由于方向舵控制侧倾运动时舵机的损失会增加,因此将T-S模糊算法应用于加权系数的优化。仿真结果表明,该控制器具有较强的鲁棒性和适应性,可通过合理选择加权系数来减少舵机的损耗。这种船舶横向运动控制方法为舵的侧倾稳定提供了新的理论,并为实际工程中的应用奠定了理论基础。

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