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This work presents a practical approach to the control of tool’s position, in orthogonal cutting, in the presence nonlinear dynamic cutting forces. The controller is Linear Quadratic Gaussian (LQG) type constructed from an augmented model of both, toolactuator dynamics, and a nonlinear dynamic model relating tool displacement to cutting forces. The latter model is obtained using blackbox system identification of experimental orthogonal cutting data in which tool displacement is the input and cutting force is the output. The controller is evaluated and its performance is demonstrated
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