论文部分内容阅读
为了克服常规浪级调节单元的不足,进一步提高减摇鳍的减摇效果,并预防高海况下的动态失速,针对升力反馈减摇鳍系统,采用基于T-S模型的广义预测控制器中带遗忘因子的最小二乘法在线辨识船舶横摇运动方程,以适应变化的海况和船舶横摇参数,减小了计算量,提高了船舶横摇参数变化时减摇鳍的减摇效果。在分析了升力反馈减摇鳍在高海况下失速发生原因和浪级调节单元不足的基础上,通过在预测控制器中引入约束条件解决了高海况下的动态失速。相对于浪级调节单元,广义预测控制器提高了高海况下减摇鳍的利用效率。仿真结果表明,该方法可以在高海况下充分发挥减摇鳍系统的效能,提高减摇效果,并有效防止动态失速的发生。
In order to overcome the shortages of the conventional wave-level control unit, further improve the anti-roll effect of the fin stabilizer and prevent the dynamic stall in the high sea condition, aiming at the lift feedback fin stabilizer system, the TS model with generalized predictive controller The least square method is used to identify the equations of rolling motion of ship online to adapt to the changing sea conditions and ship rolling parameters and reduce the computational load and improve the roll stabilizing effect of the stabilizer when the ship rolling parameters change. Based on the analysis of the reason of lift stall and the shortage of wave-level adjusting unit under the condition of high sea, the dynamic stall in high-sea condition was solved by introducing the constraint conditions into the predictive controller. The generalized predictive controller enhances the utilization efficiency of fin stabilizers in high sea conditions relative to that of a wave-level conditioning unit. The simulation results show that this method can give full play to the effectiveness of fin stabilizer system in high sea conditions, improve the anti-roll effect and effectively prevent the occurrence of dynamic stall.