Large inertia servo system predictive brake control based on dual Kalman filter

Large inertia servo systems are usually associated with long brake time and poor dynamic performance. In this paper, a control strategy is proposed based on the prediction of the controller output and the practical application background to achieve predictive brake control. First, the tracking objectives were modeled, and the dual Kalman filter was utilized to estimate and predict the states and parameters of the moving aerial target. Based on these results, the brake module of the permanent magnet synchronous motor(PMSM) was pre-controlled, so that the predictive brake control was achieved. Experimental results show that the dual Kalman filter(DKF) based predictive brake control for large inertia servo system predicts the target states accurately while decreasing the brake time and servo control errors. Therefore the control scheme has achieved the expected performance.