As a standardized communication protocol, OPC UA is the main focal point with regard to information exchange in the ongoing initiative Industrie 4.0. But there are also considerations to use it within the Internet of ...
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ISBN:
(纸本)9781467379304
As a standardized communication protocol, OPC UA is the main focal point with regard to information exchange in the ongoing initiative Industrie 4.0. But there are also considerations to use it within the Internet of Things. The fact that currently no open reference implementation can be used in research for free represents a major problem in this context. The authors have the opinion that open source software can stabilize the ongoing theoretical work. Recent efforts to develop an open implementation for OPC UA were not able to meet the requirements of practical and industrial automation technology. This issue is addressed by the open62541 project which is presented in this article including an overview of its application fields and main research issues.
Nonlinear Model Predictive control (NMPC) employs a plant model to compute a sequence of optimal control inputs for a finite horizon. As, in reality, there always exists a plant-model mismatch and not all states of th...
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This paper presents a study on the potential of today's smartwatches as a complementary user interface to mobile support systems for industrial maintenance tasks. Starting from challenges, usage scenarios and use ...
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This paper presents a study on the potential of today's smartwatches as a complementary user interface to mobile support systems for industrial maintenance tasks. Starting from challenges, usage scenarios and use cases for the valuable use of smartwatches in an industrial context, the various possibilities of information delivery, task support and processcontrol using smartwatches are evaluated and checked against basic ergonomic requirements on data pre-processing, user interface design and the hardware equipment. A prototypical implementation of a support system for industrial maintenance tasks illustrates the applicability of the derived interaction concepts and design guidelines for smartwatch-equipped mobile support systems.
Modern process plants are becoming more and more complex with high demands placed on design, engineering and operation. Throughout the life-cycle of process plants there is always the typical conflict involving costs,...
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ISBN:
(纸本)9781467379304
Modern process plants are becoming more and more complex with high demands placed on design, engineering and operation. Throughout the life-cycle of process plants there is always the typical conflict involving costs, time and quality. One way of resolving this conflict is to employ simulation technology as it can be used to answer questions relating to engineering and operation earlier and with lower risks. In 2014, the authors conducted a global online survey investigating the current and future role of simulation within the life-cycle of a process plant. Based on the responses of more than 200 participants, fields of action and requirements have been drawn up to help reach the goal of continuously using simulation in the future. A first prototypical implementation towards concurrently using simulation within the life-cycle of a process plant is presented in this paper. This prototype uses tools for simulation, plant design and process automation that are available today and focuses on the engineering and operational phase of the life-cycle.
Ⅰ.Introduction CYBER-PHYSICAL system is a system of collaborating computational elements to control physical *** coordination and the tight link between computational,virtual and physical resources in cyber-physical ...
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Ⅰ.Introduction CYBER-PHYSICAL system is a system of collaborating computational elements to control physical *** coordination and the tight link between computational,virtual and physical resources in cyber-physical system will have a pervasive effect on our everyday *** development of cyber-physical system will create new opportunities for the introduction of services that will enhance the quality of life
Using translated X-factorable phase space transformations and nonlinear variable transformations a dynamically similar linear ODE model is associated to the Lotka-Volterra system models with a positive equilibrium poi...
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Nonlinear Model Predictive control (NMPC) employs a plant model to compute a sequence of optimal control inputs for a finite horizon. As, in reality, there always exists a plant-model mismatch and not all states of th...
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Nonlinear Model Predictive control (NMPC) employs a plant model to compute a sequence of optimal control inputs for a finite horizon. As, in reality, there always exists a plant-model mismatch and not all states of the plant can be measured, the NMPC scheme must be robust to plant uncertainties and to estimation errors. Different robust NMPC strategies have been proposed to deal with these uncertainties. Among them, a multi-stage NMPC, which is based upon a scenario tree of future plant evolutions, is less conservative compared to worst-case open-loop approaches because the presence of feedback at future sampling instants is explicitly considered. In multi-stage output feedback NMPC, additional scenarios are created by sampling the innovations that are used to estimate the future states of the plant along the scenario tree. In this paper, we refine our previously published approach to include state estimation errors. Moreover we extend the scheme to guarantee robust constraint satisfaction by calculating reachable sets using Taylor models. The method is demonstrated for a nonlinear chemical process example.
As Smart Manufacturing, Industrial Internet, Industrie 4.0, and Cyber-Physical Production System (CPPS) are becoming reality, the way process and manufacturing plants are operated has to change. Additionally, these de...
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ISBN:
(纸本)9781467379304
As Smart Manufacturing, Industrial Internet, Industrie 4.0, and Cyber-Physical Production System (CPPS) are becoming reality, the way process and manufacturing plants are operated has to change. Additionally, these developments - constituting the pervasive digitalisation of industry - have a profound effect on the way human workers and machines interact. This paper contrasts the current state of the art in plant control with a vision for the future. The scenario is illustrated by a realistic problem-solving process in a chemical plant. It describes an integrated industrial information and interaction space that leverages emerging technologies to enable plant operators to remain in control of future flexible modularised process plants. Our approach shows the advantages of an integrated information space which feeds interaction and collaboration using Virtual Reality (VR), novel display technologies and mobile devices.
In this contribution, data from experimental investigations are used to develop a numerical model allowing studying the impact of mineral oils degradation on the cooling of layer-type windings power transformers. From...
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ISBN:
(纸本)9781467387071
In this contribution, data from experimental investigations are used to develop a numerical model allowing studying the impact of mineral oils degradation on the cooling of layer-type windings power transformers. From the obtained results, it was confirmed that oil decay products, especially sludge formation are also contributing factors to temperature rise in the transformers.
This paper presents an algorithmic development in the framework of computationally efficient robust Non-linear Model Predictive control (NMPC) which deals with a parametric plant-model mismatch, where the description ...
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ISBN:
(纸本)9781467371605
This paper presents an algorithmic development in the framework of computationally efficient robust Non-linear Model Predictive control (NMPC) which deals with a parametric plant-model mismatch, where the description of the evolution of the uncertainty is done using a scenario tree, known as multi-stage approach. In order to reduce the computational time and memory requirements of the multistage NMPC, the calculations of the optimal control inputs can be done scenario-wise in parallel. These parallelized calculations must enforce the satisfaction of the non-anticipativity constraints, which is negotiated iteratively among the scenarios using Lagrangean or price-driven decomposition. The main challenge in using such scheme is the determination of the values of the aggregate variables that are used to coordinate the scenario-wise computations for convergence to the feasibility of the non-anticipativity constraints. The proposed approach uses parametric sensitivities of the optimal model states with respect to the control inputs which are used for the iterative determination of the values of aggregated variables. The proposed method achieves good performance and faster convergence compared to traditional decomposition schemes. The potential of the approach is demonstrated in simulation example of an hydrodesulphurisation unit.
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