An economic model predictive control framework for mechanical pulping processes. (April 2019)

• Record Type: Journal Article
• Authors: Tian, Hui; Lu, Qiugang; Gopaluni, R. Bhushan; Zavala, Victor M.; Olson, James A.
• Is Part Of: Control engineering practice. Volume 85(2019)
• Page Start: 100
• Page End: 109
• Publication Date: 2019-04
• Subjects: Economic model predictive control -- Moving horizon estimation -- Mechanical pulping process -- Stability; Automatic control -- Periodicals; 629.89
• DOI: 10.1016/j.conengprac.2019.01.008
• Languages: English
• ISSNs: 0967-0661

Abstract

Abstract: We develop a multi-objective economic model predictive control ( m-econ MPC) framework to control and optimize a nonlinear mechanical pulping (MP) process. M-econ MPC interprets economic MPC as a multi-objective optimization problem that trades off economic and set-point tracking performance. This interpretation allows us to construct a stabilizing constraint that guarantees closed-loop stability. The framework infers unmeasured states of the MP process (associated with product consistency) by using a moving horizon estimator (MHE). The MP process dynamics are described by using a nonlinear Wiener model. Examples from a two-stage high-consistency MP process are employed to demonstrate that significant improvements in economic performance are achievable.