Direct optimization in model predictive control

• Grant number: 14/21388-0
• Support Opportunities: Scholarships abroad - Research Internship - Scientific Initiation
• Effective date (Start): December 01, 2014
• Effective date (End): February 28, 2015
• Field of knowledge: Engineering - Electrical Engineering - Industrial Electronics, Electronic Systems and Controls
• Principal Investigator: Diego Colón
• Grantee: Guilherme Scabin Vicinansa
• Supervisor: Elprf Graham Goodwin
• Host Institution: Escola Politécnica (EP). Universidade de São Paulo (USP). São Paulo , SP, Brazil
• Research place: University of Newcastle, Australia
• Associated to the scholarship: 14/00539-0 - Direct optimization methods applied to direct adaptive control, BP.IC

Abstract

The objective of this research project is the application of constrained direct optimization methods (that is, derivative-free methods), in the area of Predictive and Adaptive Control. The final goal is the application of these methods in predictive control, wherein the computation time is determinant (for instance, in fast plants). Several predictive control methods will be studied and compared, including NMPC and GPC. Constrained direct optimization methods will be studied as well, because there are significant differences between the constrained and unconstrained cases. Simulations will be conducted in MATLAB and will be of great value for the supervisor research. (AU)