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Nonlinear model predictive control of a twin-screw extruder

In the field of industrial product manufacturing processes, hot-melt extrusion becomes more and more popular. In this context, a distributed parameter model consisting in partial differential equations derived from mass and energy balances is applied to a specific device with a complex screw geometry. Several numerical simulations bring out strong nonlinearities and input-output coupling. Following these observations, a nonlinear model predictive control (NMPC) strategy is proposed and designed to regulate the output API concentration and the output flow. Numerical validations and robustness analysis with respect to measurement and model noises are achieved to show the effectiveness of the strategy.