Composite control of a phased array seeker using disturbance mapping transformation and neural network PID
For the problem of three-axis disturbance angular velocity affecting the stable tracking of the target during the proportional guidance process of the two-axis phased array seeker,a composite control method that combines disturbance mapping transformation and back propagation neural net-work proportional integration differentiation(BPNN-PID)is proposed.Firstly,the synthetic angular velocity disturbance of traverse roll,pitch and yaw is decomposed into the line-of-sight(LOS)axis coordinate system using a transformation matrix.Their combined disturbance is calculated according to the spatial relationship of the three axes and is mapped equivalently to the combined disturbance of pitch and azimuth.Then,the combined disturbances of pitch and azimuth are solved,and the pitch and azimuth motors are controlled using the BPNN-PID control to quickly eliminate the solved disturbance.Simulation results show that the proposed composite control method can quickly isolate the disturbance,ensuring the stability of the LOS axis,and it exhibits robustness.
disturbance mapping transformationphased array seekerBPNN-PIDcomposite control
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