Results 21 to 30 of about 23,175 (239)

Model predictive control for compliant feed drives with offset-free tracking behavior

open access: yesProduction Engineering, 2023
AbstractIndustrial machine tool feed drives are predominantly controlled by cascade control due to their low tuning complexity and inherent robustness. However, the cascaded structure requires the inner cascades to have higher dynamics than the outer cascades, which limits the achievable dynamic accuracy. Direct control approaches, which substitute the
Valentin Leipe   +3 more
openaire   +1 more source

Robust MPC for tracking changing setpoints in discrete‐time non‐linear systems with non‐additive unknown disturbance

open access: yesIET Control Theory & Applications, 2022
This paper develops a novel observer‐based robust tracking predictive controller for discrete‐time nonlinear affine systems capable of dealing with changing setpoints and non‐additive non‐slowly varying unknown disturbance with bounded variations.
Abbas Zamani, Hossein Bolandi
doaj   +1 more source

Robust Explicit Moving Horizon Control and Estimation: A Batch Polymerization Case Study [PDF]

open access: yesModeling, Identification and Control, 2009
This paper focuses on the design and evaluation of a robust explicit moving horizon controller and a robust explicit moving horizon estimator for a batch polymerization process.
Dan Sui, Le Feng, Morten Hovd
doaj   +1 more source

Practical Model Predictive Control for a Class of Nonlinear Systems Using Linear Parameter-Varying Representations

open access: yesIEEE Access, 2021
In this paper, a practical model predictive control (MPC) for tracking desired reference trajectories is demonstrated for controlling a class of nonlinear systems subject to constraints, which comprises diverse mechanical applications.
Hossam S. Abbas   +4 more
doaj   +1 more source

Deep Learning-based Approximate Nonlinear Model Predictive Control with Offset-free Tracking for Embedded Applications

open access: yes2021 American Control Conference (ACC), 2021
The implementation of nonlinear model predictive control (NMPC) in applications with fast dynamics remains an open challenge due to the need to solve a potentially non-convex optimization problem in real-time. The offline approximation of NMPC laws using deep learning has emerged as a powerful framework for overcoming these challenges in terms of speed
Kimberly J. Chan   +2 more
openaire   +3 more sources

Linear Mismatched Model Based Offset-Free MPC for Nonlinear Constrained Systems With Both Stochastic and Deterministic Disturbances and Its Application to CSTR

open access: yesIEEE Access, 2018
This paper presents a linear mismatched model-based offset-free model-predictive control approach for nonlinear systems (also suits for mismatched linear systems) with both bounded stochastic and deterministic disturbances.
Lantao Xie, Hongye Su, Shan Lu, Lei Xie
doaj   +1 more source

Self-Calibrating Magnetometer-Free Inertial Motion Tracking of 2-DoF Joints

open access: yesSensors, 2022
Human motion analysis using inertial measurement units (IMUs) has recently been shown to provide accuracy similar to the gold standard, optical motion capture, but at lower costs and while being less restrictive and time-consuming.
Daniel Laidig, Ive Weygers, Thomas Seel
doaj   +1 more source

Model predictive control for offset-free reference tracking of fractional order systems [PDF]

open access: yesControl Engineering Practice, 2018
In this paper an offset-free model predictive control scheme is presented for fractional-order systems using the Grünwald-Letnikov derivative. The infinite-history fractional-order system is approximated by a finite-dimensional state-space system and the modeling error is cast as a bounded disturbance term.
Ntouskas, Sotiris   +2 more
openaire   +3 more sources

Proportional-Type Performance Recovery DC-Link Voltage Tracking Algorithm for Permanent Magnet Synchronous Generators

open access: yesEnergies, 2017
This study proposes a disturbance observer-based proportional-type DC-link voltage tracking algorithm for permanent magnet synchronous generators (PMSGs). The proposed technique feedbacks the only proportional term of the tracking errors, and it contains
Seok-Kyoon Kim
doaj   +1 more source

An Efficient Robust Predictive Control of Main Steam Temperature of Coal-Fired Power Plant

open access: yesEnergies, 2020
Regulating performance of the main steam temperature (MST) system concerns the economy and safety of the coal-fired power plant (CFPP). This paper develops an offset-free offline robust model predictive control (RMPC) strategy for the MST system of CFPP.
Di Wang, Xiao Wu, Jiong Shen
doaj   +1 more source

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