A novel approach to PFC for nonlinear systems

• Published in: European journal of control Vol. 68; p. 100668
• Main Authors: Rossiter, John Anthony, Saleheen Aftab, Muhammad, Panoutsos, George, Gonzalez-Villarreal, Oscar
• Format: Journal Article
• Language: English
• Published: Philadelphia Elsevier Ltd 01-11-2022; Elsevier Limited
• Subjects: Algorithms; Closed loops; Computational efficiency; Nonlinear control; Nonlinear systems; Predictive control; Predictive functional control; System effectiveness; Transparent tuning; Transparent tuning; Predictive functional control; Computational efficiency; Nonlinear systems
• ISSN: 0947-3580; 1435-5671
• DOI: 10.1016/j.ejcon.2022.100668

•Computationally efficient MPC for non-linear systems.•Transparent tuning mechanism.•Intuitive design approach to MPC.
This paper proposes a computationally efficient predictive control law for non-linear systems, that is one that can easily be coded and implemented on low cost hardware. Moreover, it has a secondary core benefit that the core tuning parameter reduces to a single choice which is: how much faster than open-loop would you like the closed-loop to converge? Conceptually the approach builds on the PFC approach but proposes a very different type of coincidence condition which removes the lag associated to the conventional approach. Simulations demonstrate that for some non-linear systems this is a cheap and simple way of ensuring effective feedback, with constraint handling.