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13th IEEE International Conference and Expositions on Electric and Power engineering, EPEi 2024

作者： Wee, Mei Gui Vanessa Chinnappan, Amutha Ramakrishna, Seeram National University of Singapore Integrative Sciences and Engineering Program NUS Graduate School Singapore Singapore National University of Singapore Centre for Nanotechnology and Sustainability Department of Mechanical Engineering College of Design and Engineering Singapore Singapore

ISBN: (纸本)9798350356199

Desiccant-coated heat exchangers (DCHEs) enable energy-efficient dehumidification, alleviating the overall heat load on vapor compression refrigeration systems. However, conventional desiccants have limited water uptake capacities and high regeneration temperature requirements. This work presents ternary composite desiccants comprising the metal-organic framework, MIL-101(Cr) (where MIL denotes Materials Institute Lavoisier), the superabsorbent polymer polyvinyl alcohol (PVA), and hygroscopic salts for enhanced moisture sorption. Gravimetric water sorption analyses revealed that desiccants containing lithium chloride (LiCl) attained water uptakes greater than their calcium chloride- and copper (II) sulfate-containing counterparts. Subsequent cyclic tests identified the optimal MIL-101(Cr)/PVA/LiCl composite that adsorbed and desorbed moisture readily. From its water sorption isotherm, the 3MIL-101(Cr)/1PVA/1 LiCl desiccant has a water uptake capacity of 2.49g {water} g desiccant-1 - nearly double that of MIL-101(Cr) and more than nine times that of silica gel. When coated onto a prototype heat exchanger, the 3MIL-101(Cr)/1PVA/1 LiCl composite demonstrated a gravimetric water uptake more than double that of the silica gel-coated control across three adsorption-desorption cycles. Moreover, low-grade waste heat of 50°C could partially regenerate these DCHEs, leaving behind residual moisture of less than 0.5g{water} gdesiccant-1. Consequently, the 3MIL-101(Cr)/1PVA/1LiCl-coated heat exchangers are effective dehumidifiers for addressing the latent heat load towards energy savings in cooling systems. © 2024 IEEE.

关键词： Silica gel

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Modeling loss of coolant accident frequencies and break sizes

Modeling loss of coolant accident frequencies and break size...

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2013 Winter Meeting on Transactions and Embedded Topical Meetings: Risk Management for Complex Socio-Technical systems, 2nd ANS SMR 2013 Conference, Nuclear Nonproliferation - 1st Fission to the Future

作者： Morton, David P. Pan, Ying-An Tejada, Jeremy J. Graduate Program in Operations Research and Industrial Engineering University of Texas at Austin 1 University Station C2200 Austin TX 78712 United States

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Nonlinear model predictive control hardware implementation with custom-precision floating point operations

Nonlinear model predictive control hardware implementation w...

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Mediterranean Conference on Control and Automation (MED)

作者： Helon Ayala Renato Sampaio Daniel M. Muñoz Carlos Llanos Leandro Coelho Ricardo Jacobi Industrial and Systems Graduate Program Pontifical Catholic University of Parana Brazil Department of Mechanical Engineering University of Brasilia Brazil

Model predictive control (MPC) based techniques have found many applications both in academia and in industry. Its reach, however, may not be compared to classical control techniques due to e.g. the difficulty of solving an optimization problem at each sampling interval with real-time requirements. Most of the efforts to make the application of MPC viable address this problem with more efficient solvers. This paper, in contrast, proposes a new approach for a real-time MPC solution by mapping an approximate off-line solution into an artificial neural network in a FPGA (Field programmable Gate Array). We implemented a radial basis function artificial neural network on a low cost FPGA using custom precision floating point operations and tested the control on a single-link robotic manipulator. The amount of time used to calculate the control action at each time instant is in around one microsecond. The comparison between the offline and the approximate solution shows the soundness of the idea. We provide an analysis of hardware usage and execution time in order to achieve the best compromise considering the precision for a given application.

关键词： Hardware Field programmable gate arrays Optimization Real-time systems Neurons Predictive control Neural networks

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A Security-Constrained Hydrothermal Unit Commitment Model in the Day-Ahead Electricity Market

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SSRN 2022年

作者： Lezama-Lope, Uriel I. Ríos-Mercado, Roger Z. Ceciliano-Meza, José Luis Graduate Program in Systems Engineering Mexico Tecnológico de Monterrey Department of Industrial Engineering Mexico

In 2015, the Ministry of Energy created a wholesale electricity market in Mexico. As a result, the country shifted from a vertically integrated regulation to a competitive market framework. In this context, the day-ahead market is essential to plan better the generation and sales of energy. This paper evaluates a hydro-thermal security-constrained unit commitment model and its solution method. The objective function determines the maximum economic surplus of the participants in the market. The problem is modeled as a mixed-integer non-linear programming incorporating real-world constraints from the particular problem and a hydropower generator function non-linear features. A decomposition approach that solves a master problem and a series of subproblems is developed. Furthermore, a new component has been added to deal with the non-linear features of the hydropower generator function using a first-order Taylor's approximation. Simulation results are presented starting by solving a representative case of the electricity market in Mexico, demonstrating its use. Moreover, to evaluate the performance, multiple instances are created from publicly available information on the day-ahead market in Mexico. The model can be helpful in markets with sizable hydropower sources to obtain a more accurate and timely system operation scheduling. © 2022, The Authors. All rights reserved.

关键词： Power markets

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Bilateral control for omnidirectional bending motion of the DSD forceps teleoperation system with time varying delay

Bilateral control for omnidirectional bending motion of the ...

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2010 IEEE International Conference on Automation and Logistics, ICAL 2010

作者： Mikami, Hiroyuki Nishitani, Yosuke Hikita, Mitsutaka Ishii, Chiharu Hashimoto, Hiroshi Department of Mechanical Engineering Graduate School of Kogakuin University Nishishinjuku Shinjuku-Ku Tokyo Japan Department of Mechanical Engineering Hosei University Kajino-Cho Koganei-Shi Tokyo Japan Master's Program of Innovation for Design and Engineering Advanced Institute of Industrial Technology Higashiooi Shinagawa-Ku Tokyo Japan

ISBN: (纸本)9781424483754

Recently, robotic surgical support systems are in clinical use for minimally invasive surgery. We have developed a multi-DOF robotic forceps manipulator using a novel omnidirectional bending mechanism, and for the developed robotic forceps manipulator, we proposed a passivity based bilateral control that enables motion scaling in both position tracking and force tracking, and guarantees the stability of the teleoperation system in the presence of constant time delay, so far. In this paper, the passivity based bilateral control is improved so as to guarantee the stability of the teleoperation system not only in the presence of the constant time delay but also in the presence of the time varying delay. However, the proposed bilateral control law is applicable only to the one DOF bending motion of the robotic forceps. Therefore, using the change of coordinates, the proposed bilateral control scheme is extended so that it may become applicable to the omnidirectional bending motion of the robotic forceps. In order to verify the effectiveness of the proposed control scheme, experimental works were carried out for the developed robotic forceps. © 2010 IEEE.

关键词： Time delay

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Discrete Differential Evolution with Local Search to Solve the Traveling Salesman Problem: Fundamentals and Case Studies

Discrete Differential Evolution with Local Search to Solve t...

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IEEE International Conference on Cybernetic Intelligent systems

作者： Joao Guilherme Sauer Leandro dos Santos Coelho Industrial and Systems Engineering Graduate Program Pontifical Catholic University of Parana (PPGEPS/PUCPR)

ISBN: (纸本)9781424429141

Traveling Salesman Problem (TSP) is one of the most difficult problems in the Combinatorial Optimization area. The goal of TSP is to find one path that can travel between all the nodes (instances) of the graph just once (Hamiltonian tour) in the smallest tour, that is, smallest Euclidian distance. In this context, many other meta-heuristics techniques based on evolutionary algorithms have been propose in literature to solve TSP problems. Differential Evolution (DE) is a relatively new simple evolutionary algorithm, which is an effective adaptive approach to global optimization over continuous search spaces. The design principles of DE are simplicity and efficiency. The most distinct feature of DE is that it mutates vectors by adding weighted, random vector differentials to them. Since its invention, DE has been applied with high success on many numerical optimization problems outperforming other more popular meta-heuristics such as the genetic algorithms. Recently, some researchers extended with success the application of DE to complex combinatorial optimization problems with discrete decision variables such as the traveling salesman problem, the machine layout problem, the flow-shop scheduling problem. In this paper, the following discrete DE approaches for the TSP are proposed and evaluated: i) DE approach without local search, ii) DE with local search based on Lin-Kernighan-Heulsgaun (LKH) method, and iii) DE with local search based on Variable Neighborhood Search (VNS) and together with LKH method. Numerical study is carried out using the TSPLIB of test TSP problems. In this context, the computational results are compared with the other results in the recent TSP literature. The obtained results show that LKH method is the best method to reach optimal results for TSPLIB benchmarks, but for largest problems, the ED+VNS improve the quality of obtained results.

关键词： Optimization Traveling salesman problem Evolutionary Algorithm Differential Evolution Variable Neighbor Search Local Search Lin-Kernighan-Heulsgaun travelling salesman problems evolutionary algorithm MT design theory continuous search

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ELSA-Py - Open-Source Extension for Communication and Data Management in Interactive Remote Experimentation Under Ilab Shared Architecture

ELSA-Py - Open-Source Extension for Communication and Data M...

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APCA International Conference on Automatic Control and Soft Computing (CONTROLO)

作者： Thiago Schaedler Uhlmann Pedro Henrique Dos Santos Sbais Luciano Antonio Mendes Industrial and Systems Engineering Graduate Program Pontifical Catholic University of Parana Curitiba Brazil

Paper depicts an architecture expansion for communication and data management that can be used in Remote Experimentation and Game-Based Learning. This architecture is compliant with iLab Shared Architecture and is based upon open source software and hardware, in particular low cost platforms such as the Raspberry Pi 3. It consists of three main entities: user-side interface, experiment-side (lab) application and, interconnecting both, the cloud server enhanced with the messaging intermediator. Architecture takes into account typical requirements for educational institutions, such as open-source technologies, remote systems usage management (service brokerage) and security. In trial implementations, three single-user, remotely operated experiments have been enabled using ELSA-Py, in which students will be able to practice concepts of lean production (LyMIE), object position control (Windball) and image calibration (TabRecon). The integration has been tested and the performance of ELSA-Py architecture as a tool do deploy educational remotely operated systems is discussed.

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Hardware Particle Swarm Optimization with passive congregation for embedded applications

Hardware Particle Swarm Optimization with passive congregati...

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Southern Conference on programmable Logic

作者： Muñoz, Daniel M. Llanos, Carlos H. Coelho, Leandro Dos S. Ayala-Rincón, Mauricio Department of Mechanical Engineering Automation and Control Group/GRACO University of Brasilia Brasilia D.F. Brazil Industrial and Systems Engineering Graduate Program Pontifical Catholic University of Parana Curitiba Parana Brazil Department of Computer Science and Mathematics University of Brasilia Brasilia D.F. Brazil

ISBN: (纸本)9781424488483

Achieving high performance optimization algorithms for embedded applications can be very challenging, particularly when several requirements such as high accuracy computations, short elapsed time, area cost, low power consumption and portability must be accomplished. This paper proposes a hardware implementation of the Particle Swarm Optimization algorithm with passive congregation (HPPSOpc), which was developed using several floating-point arithmetic libraries. The passive congregation is a biological behavior which allows the swarm to preserve its integrity, balancing between global and local search. The HPPSOpc architecture was implemented on a Virtex5 FPGA device and validated using two multimodal benchmark problems. Synthesis, simulation and execution time results demonstrates that the passive congregation approach is a low cost solution for solving embedded optimization problems with a high performance. © 2011 IEEE.

关键词： Digital arithmetic

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Classification of the Structural Integrity by the General Vibration Method

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Procedia Computer Science 2019年 157卷 382-387页

作者： Fergyanto E. Gunawan Benfano Soewito Nico Surantha Tuga Mauritsius Nobumasa Sekishita Industrial Engineering Department BINUS Graduate Program - Master of Industrial Engineering Bina Nusantara University Jakarta Indonesia 11480 Computer Science Department BINUS Graduate Program - Master of Computer Science Bina Nusantara University Jakarta Indonesia 11480 Information Systems Information Department BINUS Graduate Program - Master of Information Systems Management Bina Nusantara University Jakarta Indonesia 11480 Department of Mechanical Engineering Toyohashi University of Technology Toyohashi Aichi 441-8580 Japan

Traditionally, for the purpose of classifying the integrity of an engineering structure, one may use the information of the natural frequencies or mode shapes or some other measures derived from the two. In this research, we propose a classification method on the basis of the general vibration model. The general vibration model is essentially a set of differential equations describing the dynamics of the structure under consideration. For the purpose of damage detection, a deviation of the general vibration model from the dynamic equilibrium point marks the occurrence of the damage. To demonstrate the effectiveness of the method, we study two simplest dynamical systems consisting of one- and two-concentrated masses subjected to a prescribed dynamic load. The structural damages are introduced artificially by reducing the stiffness of spring in the structures. We find that the general vibration model is more sensitive to damages than the traditional methods.

关键词： General Vibration Model Structural Integrity Structural Health Monitoring Power Spectral Density Damage Index

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On selecting the MIMO Generalized Orthonormal Basis Functions poles by using Particle Swarm Optimization

On selecting the MIMO Generalized Orthonormal Basis Function...

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European Control Conference (ECC)

作者： Bruno C. Reginato Gustavo H. C. Oliveira Industrial and Systems Engineering Graduate Program (PPGEPS) of the Pontifical Catholic University of Parana (PUCPR)

This paper deals with the problem of finding the pole(s) in Orthonormal Basis Functions (OBF) models. In fact, any stable system can be exactly represented by an infinite orthonormal functions series, assuming that the basis used in such representation is complete. However, in practice a truncated basis functions expansion is used. For certain basis choice and fixed number of functions, there is a pole or set of poles that minimizes the truncation error. The problem is then to find such set. Therefore, the present paper is focused on the problem of finding the basis functions poles when more than one dynamic is involved, for instance, in SISO Generalized Orthonormal Basis Functions (GOBF) models or MIMO Laguerre, Kautz and/or GOBF models. It is proposed and analyzed here the use of Particle Swarm Optimization (PSO) for such problem. Simulation results presented shows the validity of the proposed method.

关键词： Convergence Mathematical model Particle swarm optimization Approximation methods Optimization MIMO Equations

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