Article
Construction & Building Technology
Qiong Chen, Nan Li
Summary: A novel fast high-fidelity reduced-order model is proposed in this research, which effectively reduces the complexity of model predictive control, improves computational efficiency, and enhances robustness. The reduced-order model significantly reduces computation time and achieves a balance between accuracy and computational cost.
ENERGY AND BUILDINGS
(2021)
Article
Engineering, Electrical & Electronic
Zeinab Salehi, Paknoosh Karimaghaee, Mohammad-Hassan Khooban
Summary: This paper introduces a novel model reduction scheme that aims to preserve both positive realness and bounded realness properties of a system simultaneously. The method utilizes positive real and bounded real Riccati equations, and balances the gramians extracted from these equations based on the Balanced Truncation concept. A numerical example is provided to demonstrate the effectiveness of the proposed method.
IEEE TRANSACTIONS ON CIRCUITS AND SYSTEMS II-EXPRESS BRIEFS
(2021)
Article
Construction & Building Technology
Qiong Chen, Nan Li
Summary: Reduced-order models (ROMs) can significantly reduce computation costs while maintaining high-fidelity performance for model predictive control. However, the physical meaning of the building thermal model order reduction at the theoretical level has not been fully explored, although the mathematical validity of the reduction process and results is unquestionable. The interpretability of the building low-dimensional model at the physical level is essential for improving the model's reliability.
ENERGY AND BUILDINGS
(2023)
Article
Mathematics, Applied
Josie Koenig, Melina A. Freitag
Summary: This paper discusses the application of balanced truncation to linear Gaussian Bayesian inference, particularly the 4D-Var method, and strengthens the connection between systems theory and data assimilation. The similarities between both types of data assimilation problems allow for the generalization of the state-of-the-art approach, proposing an enhanced method to balance Bayesian inference for unstable systems and improve numerical results for short observation periods.
JOURNAL OF SCIENTIFIC COMPUTING
(2023)
Article
Engineering, Multidisciplinary
Piotr Bortnowski, Witold Kawalec, Robert Krol, Maksymilian Ozdoba
Summary: This article measures the vibration frequency of a working conveyor and determines the increase in tension force on the top belt strand using the phenomenon of belt vibration, validating an accurate method for predicting belt vibrations.
Article
Automation & Control Systems
Chunyu Yang, Bin Chen, Lingchao Bu, Linna Zhou, Lei Ma
Summary: This work proposes a distributed economic model predictive control (DEMPC) approach for multi-stage belt conveyor (BC) systems based on a novel low-order model. The existing BC finite element dynamic model is reduced to a low-order model with five micro-element segments. A DEMPC method is utilized for multi-stage BC systems, which uses the state information of adjacent BCs to express the collaborative cost function for the local optimization control problem. By applying this method, the economic performance is improved and energy consumption is reduced. Hardware-in-the-loop simulation tests demonstrate the benefits of the obtained results.
JOURNAL OF PROCESS CONTROL
(2023)
Review
Engineering, Mechanical
Piotr Bortnowski, Witold Kawalec, Robert Krol, Maksymilian Ozdoba
Summary: The belt is the crucial working element of a conveyor system, and damages to it can result in costly downtimes. This article presents an overview of the types of belt damages and their causes, which are often related to improper operation or technical issues with the components. It also provides prevention methods and condition monitoring for each type of damage, aiming to ensure proper management and durability of the belt.
ENGINEERING FAILURE ANALYSIS
(2022)
Article
Automation & Control Systems
Lyes Nechak, Henri-Francois Raynaud, Caroline Kulcsar
Summary: This article presents a method to address high-order stochastic linear quadratic (LQ) control problems using random parameter-dependent truncated balanced realization (RPD-TBR), which is more effective in handling LQ gain selection and performance evaluation for plants with probabilistic uncertainty compared to the original RPD full state model.
INTERNATIONAL JOURNAL OF ROBUST AND NONLINEAR CONTROL
(2021)
Article
Mathematics, Applied
Christian Schroeder, Matthias Voigt
Summary: In standard balanced truncation model order reduction, the initial condition is typically ignored, but the proposed balancing procedure based on state shift transformation can yield a better reduced-order model with a priori error bound. Additionally, the paper discusses the construction of reduced-order models and the efficient optimization of error bounds.
JOURNAL OF COMPUTATIONAL AND APPLIED MATHEMATICS
(2023)
Article
Engineering, Mechanical
Alexandre Berthet, Emmanuel Perrey-Debain, Jean-Daniel Chazot, Sylvain Germes
Summary: This paper presents a model reduction technique for efficiently computing the frequency response functions of damped structures. The frequency-dependent complex moduli are approximated using the Golla-Hughes-MacTavish (GHM) model, which transforms the original problem into a second-order, constant-coefficient system of equations. The matrix system is then treated using the Balanced Proper Orthogonal Decomposition (BPOD) to approximate the transfer function matrix or admittance matrix. The reduction strategy is shown to be efficient in terms of data reduction, accuracy, and computational cost.
MECHANICAL SYSTEMS AND SIGNAL PROCESSING
(2023)
Article
Engineering, Mechanical
Hailing Wang, Zhang Chen, Zuxiong Li, Zhusong Chu, Junhua Li, Yezhi Lin
Summary: This paper studies the limit cycle of a nonlinear conveyor belt system using the perturbation incremental method, dividing the system into subclasses based on heteroclinic orbit. The zero-order perturbation solution and incremental part are used to control the parameter lambda and obtain the limit cycle. Numerical simulations confirm the effectiveness of the results.
NONLINEAR DYNAMICS
(2021)
Article
Engineering, Mechanical
Miriam Andrejiova, Anna Grincova, Daniela Marasova
Summary: This experimental research aimed to identify the correlations between the type of falling material and impact height on conveyor belt damage, and created classification models using machine learning methods. The results indicated that all classification models provided similar results, with the decision tree and Naive Bayes classifier models exhibiting the best classification and prediction abilities.
ENGINEERING FAILURE ANALYSIS
(2021)
Article
Engineering, Chemical
Li Wang, Haoxin Li, Jingkai Huang, Jinbin Zeng, Luxin Tang, Weibin Wu, Yuanqiang Luo
Summary: Conveyor belts are widely used in large-scale mines for their long transportation range, high safety, and strong economic applicability. Coal mine belt conveyors not only act as traditional mechanical conveying devices but also as automatic control system operating devices that integrate safety, stability, and low power consumption. The integration of the conveyor belt control system with modern industrial systems and information systems greatly improves its work efficiency.
Article
Engineering, Electrical & Electronic
Santosh Kumar Suman, Awadhesh Kumar
Summary: Most physical structures can be described using mathematical models, but the mathematical methods of system modelling can be difficult to use for analysis and controller synthesis. A proposed method based on modified balanced truncation method adjusts the steady-state value of a reduced-order model without affecting the dynamical behavior of the original system. The effectiveness of the method is demonstrated through comparison with other existing reduction methods on two standard numerical test systems.
CIRCUITS SYSTEMS AND SIGNAL PROCESSING
(2021)
Article
Green & Sustainable Science & Technology
Piotr Bortnowski, Robert Krol, Anna Nowak-Szpak, Maksymilian Ozdoba
Summary: This article performs a comparative analysis of noise generated by conveyor belts with different design parameters. The study found that the linear speed has a significant impact on the emitted noise, while the tension force has a less significant effect. It is possible to select a conveyor belt that emits less noise under the same operating conditions.
