Results 21 to 30 of about 22,130,080 (237)

Model predictive control design for industrial applications [PDF]

open access: yes, 2006
In many industrial processes, the regulatory level based on PID controllers is able to maintain the process variables about the given set point values. However, economic reasons and operational constraints make it necessary to optimise plant operations ...
Balbis, L., Ordys, A.W., Kateb, R.
core   +4 more sources

Continuous Control Set Predictive Current Control for Induction Machine

open access: yesApplied Sciences, 2021
A speed tracking control method for induction machine is shown in this paper. The method consists of outer speed control loop and inner current control loop. Model predictive current control method without the need for calculation of the weighing factors
Toni Varga   +3 more
doaj   +1 more source

On the improvement of model-predictive controllers

open access: yesCoRR, 2023
This article investigates synthetic model-predictive control (MPC) problems to demonstrate that an increased precision of the internal prediction model (PM) automatially entails an improvement of the controller as a whole. In contrast to reinforcement learning (RL), MPC uses the PM to predict subsequent states of the controlled system (CS), instead of ...
Leander J. Féret   +2 more
openaire   +2 more sources

Model Predictive Operation Control of Islanded Microgrids under Nonlinear Conversion Losses of Storage Units

open access: yesElectricity, 2022
This paper proposes a certainty equivalence model predictive control (MPC) approach for the operation of islanded microgrids with a very high share of renewable energy sources.
Milad Gholami, Alessandro Pisano
doaj   +1 more source

Model Predictive Control in Greenhouses

open access: yes, 2022
It is a somewhat general consensus that the agricultural production process has begun over 12,000 years ago somewhere in the Middle East region. The development of this activity can be explained in several ways, but all boils down to the necessity of hunter-gatherer-based humans to reduce their dependence on the whims of nature.
Coelho, João Paulo   +1 more
openaire   +2 more sources

Nonlinear model predictive control for the ALSTOM gasifier. [PDF]

open access: yes, 2006
In this work a nonlinear model predictive control based on Wiener model has been developed and used to control the ALSTOM gasifier. The 0% load condition was identified as the most difficult case to control among three operating conditions.
Al-Seyab, Rihab   +3 more
core   +1 more source

Economic model predictive control: Some design tools and analysis techniques [PDF]

open access: yes, 2018
In recent years, Economic Model Predictive Control has emerged as a variant of traditional (tracking) MPC which aims at maximizing economic profitability by directly minimizing, over a receding prediction horizon, the costs incurred in system’s operation.
Angeli, David   +3 more
core   +1 more source

A FRACTIONAL MODEL PREDICTIVE CONTROL DESIGN FOR 2-D GANTRY CRANE SYSTEM [PDF]

open access: yesJournal of Engineering Science and Technology, 2018
Fractional calculus has been a research focus since the last four decades to control the dynamical systems. Advances in fractional calculus such as Fractional Model Predictive Control had shown that system dynamics could be controlled even more ...
ABHAYA P. SINGH, H. AGRAWAL
doaj  

Time Adaptivity in Model Predictive Control [PDF]

open access: yesJournal of Scientific Computing, 2021
AbstractThe core of the Model Predictive Control (MPC) method in every step of the algorithm consists in solving a time-dependent optimization problem on the prediction horizon of the MPC algorithm, and then to apply a portion of the optimal control over the application horizon to obtain the new state.
Alessandro Alla   +2 more
openaire   +7 more sources

Predictive pole-placement control with linear models [PDF]

open access: yes, 2002
The predictive pole-placement control method introduced in this paper embeds the classical pole-placement state feedback design into a quadratic optimisation-based model-predictive formulation. This provides an alternative to model-predictive controllers
Ronco, E., Gawthrop, P.J.
core   +1 more source

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