Performance Evaluation of two Industrial MPC Controllers

This paper presents industrial case studies of the performance evaluation of two industrial multivariate MPC-based controllers at the Mitsubishi chemical complex in Mizushima, Japan: 1) a 6-output, 6-input Para-Xylene(PX) production process with 6 measured disturbance variables that are used for feedforward control; and 2) a multivariate MPC controller for a 6-output, 5 input poly-propylene splitter column with 2 measured disturbances. A generalized predictive controllerbased MPC algorithm has been implemented on the PX process. Data from the PX unit before and after the MPC implementation are analyzed to obtain and compare several different measures of multivariate controller performance. The second case study is concerned with performance assessment of a commercial MPC controller on a propylene splitter. A discussion on the diagnosis of poor performance for the second MPC application suggests significant model-plant-mismatch under varying load conditions and highlights the role of constraints.