Simple predictive control (MPC) algorithms produce a feed-forward compensator that may be a suboptimal choice. This paper gives some insights into this issue and simple means of …
P Krupa, D Limon, T Alamo - IEEE Transactions on Control …, 2020 - ieeexplore.ieee.org
In this article, we present an implementation of a low-memory footprint model predictive control (MPC)-based controller in programmable logic controllers (PLCs). Automatic code …
B Huyck, L Callebaut, F Logist… - … on Control & …, 2012 - ieeexplore.ieee.org
Over the last years, a number of publications were written about Model Predictive Control (MPC) on industrial Programmable Logic Controllers (PLC). They focussed on explicit MPC …
G Valencia-Palomo, KR Hilton… - 2009 European Control …, 2009 - ieeexplore.ieee.org
In this paper a novel implementation of a Generalized Predictive Controller (GPC) is presented; specifically the paper discusses programming of MPC in an industrial …
This paper makes two key contributions. First, it tackles the issue of the availability of constrained predictive control for low-level control loops. Hence, it describes how the …
HHJ Bloemen, TJJ Van Den Boom, HB Verbruggen - Automatica, 2002 - Elsevier
In this paper a linear model-based predictive control (MPC) algorithm is presented, for which nominal closed-loop stability is guaranteed. The input is obtained by minimizing a quadratic …
Given the growing computational power of embedded controllers, the use of model predictive control (MPC) strategies on this type of devices becomes more and more …
This study presents a novel programmable logic controller (PLC) implementation of a constrained predictive control (MPC) algorithm based on Laguerre functions and multi …
B Käpernick, K Graichen - IFAC Proceedings Volumes, 2014 - Elsevier
This paper describes the implementation of an efficient model predictive control (MPC) approach on a standard programmable logic controller (PLC). PLCs are commonly used in …