Process optimization by grouping mixed integer nonlinear programming constraints

US10310458B2 · kind B2 · utility

Assignee

• SCHNEIDER ELECTRIC SOFTWARE, LLC · US

Inventors

• Rajkumar Vedam · Katy, US
• James Jude Kattapuram · Trabuco Canyon, US
• Kishore Kumar Hemachandran · Chennai, IN
• Sankararao Boddupalli · Hyderabad, IN
• Pranav Bhaswanth Madabhushi · Ghanpur, IN
• Gareth Hillier · Houston, US
• Mallikarjun Avanna Lavate · Kanchinakote, IN
• Detong Zhang · Houston, US
• Purt Tanartkit · Fullerton, US

Key dates

• Filing date: Dec 22, 2015
• Grant date: Jun 4, 2019
• Expiry date: Oct 1, 2037

Classification

• Technology area (CPC H): Electricity
• CPC primary: H02J2203/20
• WIPO field: Control
• WIPO sector: Instruments

Abstract

Real-time dynamic optimization of a process model in an online model-based process control computing environment. A mixed integer nonlinear programming (MINLP) solver utilizes grouping of first-principle model units to implement constraints of the underlying process. A group identifier parameter and a group complement parameter enable the grouping behavior through association with the first-principles model units.