Two computer systems of Anti-Aircraft Gun Machine; Gyro Computing Sight, Kalman Predictor are studied on the performance of computation (prediction).
In Gyro Computing Sight, relation between drag force and range-magnet's magnetic field intensity being in inverse proportion to the slant range from gun to moving target is obtained by solving Maxwell's equation with dimension analysis technique.
And relation between precession angle of the gyroscope and the acting torque on it resulted from the drag force is obtained.
Therefore, the relation of lead angle to the moving target's angular velocity and the slant range is produced to predict the advance position.
In Kalman Predictor the linear discrete state equation of moving target is formulated, the state variables are estimated by the Kalman Filter algorithm, the time to meet it for projectiles can be obtained, and so the advance position in that time can be predicted.
For the purpose of knowing each performance, prediction of the advance position, is simulated to the discretized model of target's flight path, and each prediction error is obtained.
Finally, those errors are compared each other.
