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Parameter Estimation of Maneuvering Variables of SIGMA-Extended War Ship Using Kalman Filter

机译:基于卡尔曼滤波的SIGMA扩展战舰机动变量参数估计

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SIGMA-class warship one of warship type is designed up to sea state 6. The ship was redesigned in enlarged dimensions, and called SIGMA extended class warships. A control system can give a performance of response in accordance to the set point when the value of controlled variable can be transmitted to the controller accurately. The characteristic of sensor is not usually able to tranmit a proper value, due to the noise on the sensor and also the environment disturbances. This paper describe a strategy of Kalman filter to estimate variables controlled when the presence noise on the compass or gyrocompas. The result of Kalman filter implementations give the magnitude of the integral absolute error of yaw and sway less than 5%, when there are noise on the measurement and the disturbances.
机译:SIGMA级军舰是一种军舰类型,设计至海面状态6。该船经过重新设计,具有更大的尺寸,并称为SIGMA扩展级军舰。当控制变量的值可以准确地传输到控制器时,控制系统可以根据设定点给出响应性能。由于传感器上的噪声以及环境干扰,传感器的特性通常不能传递适当的值。本文描述了一种卡尔曼滤波器的策略,用于估计在罗盘或陀螺罗盘上存在噪声时控制的变量。当测量中存在噪声和干扰时,卡尔曼滤波器实现的结果使偏航和摇摆的积分绝对误差的幅度小于5%。

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