Closing the Loop of Model Predictive Force Control in Milling with Ensemble Kalman Filtering
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The dynamics of the milling process put a challenge on controlling its force. Model-based predictive control (MPC) anticipates the immediate process behavior and reacts in time. The presented work introduces a particle filter known as ensemble KALMAN filter (EnKF) for the crucial online identification of the process model. This enables an adaptive, optimal manufacturing process at its technological limit drastically reducing the manufacturing time while guaranteeing geometric quality.
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