Industry‐Driven Rapid Prototyping for Comparing Nonlinear Control Schemes in Pyomo. Issue 12 (28th October 2020)

• Record Type: Journal Article
• Authors: Schmid, Jochen; Teichert, Katrin; Chioua, Moncef; Schindler, Thorsten; Bortz, Michael
• Other Names: Riese Julia guestEditor.
• Is Part Of: Chemie Ingenieur Technik. Volume 92:Issue 12(2020)
• Page Start: 2016
• Page End: 2027
• Publication Date: 2020-10-28
• Subjects: Dynamic optimization -- Dynamic simulation -- Pyomo -- Process control -- Williams‐Otto process; Chemical engineering -- Patents -- Periodicals; Chemical engineering -- Periodicals; Chemical industry -- Periodicals; Chemistry, Technical -- Periodicals; 660.05
• DOI: 10.1002/cite.202000062
• Languages: English
• ISSNs: 0009-286X

Abstract

Abstract: With ongoing digitalization, fast simulation of process dynamics offers new opportunities for model‐based control schemes. This is eased by the availability of high‐level, open‐access, easy‐to‐use software able to simulate and optimize chemical processes, making rapid prototyping possible also for the chemical engineer. In this study, the capabilities of the Python‐based open‐source software package Pyomo towards industrial application is illustrated in modeling and comparing different control schemes for a simple Williams‐Otto process. It is shown how to simulate the process dynamics and how to compute optimal control trajectories for minimizing waste and maximizing yield. Two approaches to setpoint tracking are compared: one based on proportional‐integral feedback control and one based on optimal open‐loop control. Abstract : The advantages that the high‐level open‐source software package Pyomo can provide for the chemical engineer are illustrated in rapidly setting up and solving dynamic simulation and optimization problems. These kinds of problems are discussed for the Williams‐Otto process. Specifically, setpoint tracking as well as waste and yield optimization are addressed.