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International Conference on control, Decision and Information Technologies (CoDIT)

作者： Mehmet Fatih Ç elebi Zeynep Beler Elif Dede Emine Dilara Koç ak Ö zgü r Atalay Aslı Tunç ay Atalay Veysel Gazi Department of Electrical and Electronics Engineering Department of Mechatronics Engineering Faculty of Technology Institute of Pure and Applied Sciences Marmara University Istanbul Turkey Department of Polymer Science and Technology Institute of Pure and Applied Sciences Marmara University Istanbul Turkey Department of Metallurgy and Materials The University of Birmingham Birmingham United Kingdom Department of Textile Engineering Faculty of Technology Marmara University Istanbul Turkey Faculty of Textile Technology and Design Istanbul TechnicalDepartment of Textile EngineeringIstanbulTurkey Veysel Gazi is with the Department of Control and Automation Engi-neering Faculty of Electrical and Electronics Engineering Yildiz Technical University Istanbul Turkey

Rigid-body industrial robotic manipulators and pneumatic compression systems are widely used in mechano-therapeutic applications. However, rigid and bulky components reduce the wearability of the system in mobile environments. The current trend in wearable robotics tends to build such devices using textiles/silicone materials thanks to their lightness, compliancy, and comfort properties. In this study, thermally powered soft fluidic actuators that utilize liquid/gas phase transition property of low boiling point liquids are investigated. Proposed actuators generate desired pressure level and have great potential to free mechano-therapy devices from such bulky components. The developed structure incorporates textile-based heaters, thin film actuator shells, and low boiling point liquids. Here, two low boiling liquids with different boiling temperature are mixed successfully in order to obtain desired boiling point. Results a revealed that actuators constructed with PE/PA membrane did not show any deterioration even after 500 cycle actuation. In order to control the system, instantaneous temperature of the textile-based heater on the actuator device is used as feedback for the on-off controller.

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Production Scheduling Application Software for Small Medium Enterprises

Production Scheduling Application Software for Small Medium ...

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International Conference on System Science and engineering (ICSSE)

作者： Xuan-Thuyen Le The-Anh-Tu Nguyen Ngoc-Hieu Pham Ngoc-Huy Tran Innovation Fablab Ho Chi Minh City University of Technology (HCMUT) VNU-HCM Ho Chi Minh City Vietnam Department of Control & Automation Faculty of Electrical & Electronics Engineering Ho Chi Minh City University of Technology (HCMUT) VNU-HCM Ho Chi Minh City Vietnam Department of Mechatronics Cao Thang Technical College Ho Chi Minh City Vietnam

Derived from the current implementation of the production plan as well as the production schedule, Enterprise Resource Planning software with a built-in production scheduling algorithm helps optimize the uses of resources, reduce production time, increase productivity, and increase customer service levels. In this research, the available management platform (Odoo) with Python as the main programming language is proposed to build a system to support suitable schedule production plans helps shorten processing time and reduce order delay. In addition, the results are shown in detail and can be flexibly modified manually on the Gantt chart. The feasibility of the production scheduling application is shown by the Gantt chart before and after the scheduling. Moreover, the order delay rate has been reduced from 15% to 3.33%.

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Design and Implementation of Adaptive NMPC in industrial applications: case study

Design and Implementation of Adaptive NMPC in industrial app...

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International Carpathian control Conference (ICCC)

作者： Stepan Ozana Filip Krupa Jakub Nemcik Gergely Takacs Jakub Mozaryn Petr Beremlijski Abhaya Singh Aleksandra Kawala-Sterniuk Department of Cybernetics and Biomedical Engineering VSB-Technical University of Ostrava Ostrava Czech Republic Institute of Automation Measurement and Applied Informatics Slovak University of Technology in Bratislava Bratislava Slovak Republic Institute of Automatic Control and Robotics Warsaw University of Technology Warsaw Poland Department of Applied Mathematics VSB-Technical University of Ostrava Ostrava Czech Republic Department of engineering University of Sannio Sannio Italy Department of Electrical Power and Renewable Energy Opole University of Technology Opole Poland

This paper deals with the design and implementation of adaptive nonlinear predictive control (NMPC). The resulting control system is deployed on a softPLC embedded target in real-time via the REXYGEN control system. The paper describes functional prototype using softPLC hosting the NMPC algorithm applied for a nonlinear system consisting of three coupled tanks. The NMPC algorithm is solved via the receding horizon control method (RHC), formulated as a nonlinear programming problem (NLP) and numerically computed using the SOLNP solver. The adaptivity is provided by online identification via moving horizon estimation (MHE), keeping the model updated to avoid a model-plant mismatch. The methodology described in this paper can be easily transferred to a wider group of industrial nonlinear processes. Such created control unit can run in a standalone mode or can be connected to some exiting control system providing a necessary computational power and thus upgrading the quality of control significantly.

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Fabrication grammars: bridging design and robotics to control emergent material expressions

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Construction Robotics 2021年第1期5卷 35-48页

作者： Iremnur Tokac Johan Philips Herman Bruyninckx Andrew Vande Moere Design Department of Architecture KU Leuven Leuven Belgium Robotics Automation and Mechatronics Department of Mechanical Engineering KU Leuven Leuven Belgium Flanders Make@KU Leuven Core Lab ROB Heverlee Belgium Control Systems Technology Department of Mechanical Engineering Technical University Eindhoven Eindhoven Netherlands

Designers physically engage with a material to experience how certain characteristics allow the fabrication of unique expressions. In digital fabrication, however, this improvisational negotiation is typically replaced by a virtual simulation that predicts how a material expression can be fabricated, limiting the resulting design language to algorithmic forms. In contrast, we believe that digital fabrication can also produce ‘emergent’ material expressions that are so confounded that they appear slightly differently even when being produced by identical operations. This paper argues that such expressions can be executed by a domain-driven feedback paradigm, which integrates a human-in-the-loop to encode the tacit fabrication knowledge that is generated by reviewing intermediate outcomes. We encode this tacit knowledge by fabrication grammars, rule-based descriptions that causally relate fabrication parameters to qualitative descriptions of material expressions. By documenting a set of Single Point Incremental Forming experiments, this paper demonstrates how emergent material expressions can be controlled by semantically meaningful fabrication grammars, which even can be combined towards purposeful design goals. We believe our findings might allow the digital fabrication of material expressions that appear to have been produced manually or naturally; and support the future sharing of tacit fabrication knowledge.

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Performance Analysis of Hydrogen Storage Systems with Oxygen Recuperation for Intermittent Renewable Energy Generation System

SSRN

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SSRN 2023年

作者： Hou, Zhipeng Guo, Yafeng Chen, Fengxiang Chi, Xuncheng Jiao, Jieran Zhang, Weidong Zhou, Su Hu, Zhe Department of Control Science and Engineering Tongji University Shanghai201804 China School of Automotive Studies Tongji University Shanghai201804 China Department of Automation Shanghai Jiaotong University Shanghai200240 China School of Information and Communication Engineering Hainan University Hainan Haikou570228 China School of Intelligent Manufacturing Shanghai Zhongqiao Vocational And Technical University Shanghai201514 China Shanghai Re-fire Technology Co. Ltd. Shanghai201800 China

Oxygen recuperation is a feasible approach to enhance the efficiency of hydrogen storage systems (HSSs), further facilitating the integration of intermittent renewable energy sources into power systems. However, current HSSs with oxygen recuperation often neglect the impact of oxygen recuperation on the optimal operating parameters of fuel cell systems, which limits the potential of oxygen recuperation. To investigate the influence of oxygen recuperation, in this paper, the configuration and modeling of a HSS with oxygen recuperation were introduced, encompassing a fuel cell system and an electrolyzer system. Subsequently, optimal operation parameters of the fuel cell system, including oxygen excess ratio (OER), cathode inlet pressure, and cathode inlet oxygen concentration, were determined according to the designed optimization objective. Moreover, the round-trip efficiency was employed to evaluate the impact of oxygen recuperation on the overall HSS performance. The simulation results indicate oxygen recuperation effectively enhances the fuel cell system efficiency at the cost of a minor decrease in the electrolyzer system efficiency. The round-trip efficiency of the HSS with oxygen recuperation improves by 3.18% compared to without oxygen recuperation when the fuel cell and electrolyzer systems operate at rated powers. © 2023, The Authors. All rights reserved.

关键词： Oxygen

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Efficient Stochastic Optimal control through Approximate Bayesian Input Inference

arXiv

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arXiv 2021年

作者： Watson, Joe Abdulsamad, Hany Findeisen, Rolf Peters, Jan The Intelligent Autonomous Systems Group Technical University of Darmstadt Germany The Finnish Centre of AI The Electrical Engineering and Automation Department Aalto University Finland The Control and Cyber-Physical Systems Laboratory Technical University of Darmstadt Germany

Optimal control under uncertainty is a prevailing challenge for many reasons. One of the critical difficulties lies in producing tractable solutions for the underlying stochastic optimization problem. We show how advanced approximate inference techniques can be used to handle the statistical approximations principled and practically by framing the control problem as a problem of input estimation. Analyzing the Gaussian setting, we present an inference-based solver that is effective in stochastic and deterministic settings and was found to be superior to popular baselines on nonlinear simulated tasks. We draw connections that relate this inference formulation to previous approaches for stochastic optimal control and outline several advantages that this inference view brings due to its statistical nature. Copyright © 2021, The Authors. All rights reserved.

关键词： Stochastic systems

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Nonlinear superfluidity and time-delay based chaotic spin-down in pulsars

arXiv

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arXiv 2021年

作者： Gügercinoglu, Erbil Dogan, Mustafa Ekşi, K. Yavuz Faculty of Engineering and Natural Sciences Sabancı University Orhanlı Istanbul34956 Turkey Faculty of Electrical-Electronics Engineering Department of Control and Automation Engineering Istanbul Technical University MaslakIstanbul34469 Turkey Faculty of Science and Letters Physics Engineering Department Istanbul Technical University MaslakIstanbul34469 Turkey

We investigate the chaotic spin-down behavior seen from some pulsars in terms of the nonlinear superfluid dynamics. To this end, we numerically solve the set of equations for the superfluid-normal matter system whose coupling is mediated by creep of the vortex lines. We show that glitch perturbations which introduce a time-delay to the steady-state dynamics leave behind a remnant in the third time derivative of the rotational phase. This time-delay induces a hyper-chaotic spin-down for pulsars. We find that glitch-induced changes in the rotational parameters lead to non-closing cyclic patterns in the time-delayed phase difference diagram. We observe that the number of cycles, N, in the diagram results from N + 1 glitches occurred in total observation time. Copyright © 2021, The Authors. All rights reserved.

关键词： Pulsars

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Stage-cost design for optimal and model predictive control of linear port-Hamiltonian systems: Energy efficiency and robustness

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PAMM 2023年第4期23卷

作者： Gökçen Devlet Şen Manuel Schaller Karl Worthmann Optimization-based Control Group Institute of Mathematics Technische Universität Ilmenau Ilmenau Germany Department of Control and Automation Engineering Istanbul Technical University Istanbul Turkey

We consider singular optimal control of port-Hamiltonian systems with minimal energy supply. We investigate the robustness of different stage-cost designs w.r.t. time discretization and show that alternative formulations that are equivalent in continuous time, differ strongly in view of discretization. Furthermore, we consider the impact of additional quadratic control regularization and demonstrate that this leads to a considerable increase in energy consumption. Then, we extend our results to the tracking problem within model predictive control and show that the intrinsic but singular choice of the cost functional as the supplied energy leads to a substantial improvement of the closed-loop performance.

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Comparing of transfer process data in PLC and mcu based on IoT 5th

Comparing of transfer process data in PLC and mcu based on I...

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5th International Conference on Advanced engineering Theory and Applications, AETA 2018

作者： Gavlas, Antonin Koziorek, Jiri Rakay, Robert Department of Cybernetics and Biomedical Engineering Faculty of Electrical Engineering and Computer Science VSB-Technical University of Ostrava 17. listopadu 15 Ostrava70833 Czech Republic Department of Automation Control and Human Machine Interactions Faculty of Mechanical Engineering Technical University of Košice Park Komenského 8 Košice042 00 Slovakia

ISBN: (纸本)9783030149062

An article is based on comparing of data processing within PLC and MCU with using Cloud platforms. The last advances in computation and communication technologies are taking shape in the form of IoT (Internet of Things), M2M (Machine to Machine) technology, Industry 4.0 and Cyber Physical Systems. Internet of Things connects an enormous number of devices. Devices within IoT need small number of sensors and control data, but with numerous messages. Today Cloud services work with the volume of these data and support large scale IoT systems. In this paper we would like to represent a comparison of solutions Industrial and Commercial IoT. The proposed systems use one of the newest communication protocols MQTT. © Springer Nature Switzerland AG 2020.

关键词： Internet of things

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A novel point inclusion test for convex polygons based on voronoi tessellations

arXiv

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arXiv 2020年

作者： Zengin, Rahman Salim Sezer, Volkan Department of Mechatronics Engineering Istanbul Technical University Istanbul Turkey Department of Control and Automation Engineering Istanbul Technical University Istanbul Turkey

The point inclusion tests for polygons, in other words the point-in-polygon (PIP) algorithms, are fundamental tools for many scientific fields related to computational geometry, and they have been studied for a long time. The PIP algorithms get direct or indirect geometric definition of a polygonal entity, and validate its containment of a given point. The PIP algorithms, which are working directly on the geometric entities, derive linear boundary definitions for the edges of the polygons. Moreover, almost all direct test methods rely on the two-point form of the line equation to partition the space into half-spaces. Voronoi tessellations use an alternate approach for half-space partitioning. Instead of line equation, distance comparison between generator points is used to accomplish the same task. Voronoi tessellations consist of convex polygons, which are defined between generator points. Therefore, Voronoi tessellations have become an inspiration for us to develop a new approach of the PIP testing, specialized for convex polygons. The equations, essential to the conversion of a convex polygon to a Voronoi polygon, are derived. As a reference, a very standard convex PIP testing algorithm, the sign of offset, is selected for comparison. For generalization of the comparisons, the ray crossing algorithm is used as another reference. All algorithms are implemented as vector and matrix operations without any branching. This enabled us to benefit from the CPU optimizations of the underlying linear algebra libraries. Experimentation showed that, our proposed algorithm can have comparable performance characteristics with the reference algorithms. Moreover, it has simplicity, both from a geometric representation and the mental model. Copyright © 2020, The Authors. All rights reserved.

关键词： Computational geometry

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