Model predictive control of uni-axial rotational molding process

•A novel data-driven model predictive controller for uni-axial rotomolding is proposed.•Subspace identification algorithm is used to identify the process model.•Proposed approach is implemented on an experimental setup.•Results demonstrate improved quality, variability rejection and ability to achieve product.