Implementation of model predictive control in programmable logic controllers
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 …
control (MPC)-based controller in programmable logic controllers (PLCs). Automatic code …
A power control strategy to improve power system stability in the presence of wind farms using FACTS devices and predictive control
M Darabian, A Jalilvand - International Journal of Electrical Power & Energy …, 2017 - Elsevier
The main objective of this paper that distinguishes it from other similar articles is to employ
predictive control strategy to improve the stability of power systems (4-machines and 10 …
predictive control strategy to improve the stability of power systems (4-machines and 10 …
Improving power system stability in the presence of wind farms using STATCOM and predictive control strategy
M Darabian, A Jalilvand - IET Renewable Power Generation, 2018 - Wiley Online Library
In this study, a multi‐objective predictive control strategy is presented for the stability
improvement of a power system in the presence of wind farms and STATCOM. The main …
improvement of a power system in the presence of wind farms and STATCOM. The main …
Online model predictive control of industrial processes using low level control hardware: A pilot-scale distillation column case study
Throughout the years, the computing power of industrial controllers has steadily increased.
Together with the development of efficient quadratic program (QP) solvers, this raises the …
Together with the development of efficient quadratic program (QP) solvers, this raises the …
A new Takagi-Sugeno-Kang model-based stabilizing explicit MPC formulation: an experimental case study with implementation embedded in a PLC
TPG Mendes, L Schnitman… - Expert Systems with …, 2022 - Elsevier
This manuscript presents a new fuzzy approach applied to Model Predictive Control (MPC).
We propose to re-interpret the table of IF-THEN rules from an explicit MPC solution as an …
We propose to re-interpret the table of IF-THEN rules from an explicit MPC solution as an …
Robust nonlinear model predictive control of cascade of fermenters with recycle for efficient bioethanol production
In this paper, dynamical behavior and control of the continuous ethanol fermentation
process are studied. The process productivity is improved by using two fermenters …
process are studied. The process productivity is improved by using two fermenters …
Predictive control strategy to improve stability of DFIG‐based wind generation connected to a large‐scale power system
M Darabian, A Jalilvand - International Transactions on …, 2017 - Wiley Online Library
The present article aims to improve the small signal stability in a large‐scale network using
model predictive control (MPC). The predictive strategy is based on the Laguerre function so …
model predictive control (MPC). The predictive strategy is based on the Laguerre function so …
Implementation of MPC in embedded systems using first order methods
P Krupa - arXiv preprint arXiv:2109.02140, 2021 - arxiv.org
This Ph. D. dissertation contains results in two different but related fields: the implementation
of model predictive control (MPC) in embedded systems using first order methods, and …
of model predictive control (MPC) in embedded systems using first order methods, and …
Tuning strategy for dynamic matrix control with reduced horizons
Abstract In Dynamic Matrix Control (DMC) algorithm, the control signal is computed optimally
based on the process model. In effect, the DMC algorithm allows for obtaining a better …
based on the process model. In effect, the DMC algorithm allows for obtaining a better …
Implementation of model predictive control for tracking in embedded systems using a sparse extended ADMM algorithm
This article presents a sparse, low-memory footprint optimization algorithm for the
implementation of model predictive control (MPC) for tracking formulation in embedded …
implementation of model predictive control (MPC) for tracking formulation in embedded …