A New RFID-Based RTLS for Discrete Manufacturing Workshop

2014 ◽  
Author(s):  
Liyun Nian ◽  
Yu Guo ◽  
Fangjian Wei ◽  
Jiajun Jiang ◽  
Liuyin Yuan
Keyword(s):  
Simulation Model ◽  
Real Time ◽  
Cycle Time ◽  
Prototype System ◽  
Traditional System ◽  
Discrete Manufacturing ◽  
Process Visibility ◽  
Measuring Tool ◽  
And Control ◽  
Real Time Location System

The research is concerned with the practical use of RFID-based traceability approach in large discrete manufacturing workshop. An RFID-based RTLS (Real-time location system) is proposed for tracking WIPs (work in processes), Tool, Measuring tool, and AGV to achieve new levels of process visibility and control. The positioning methods and principle are introduced and the framework of the proposed system is provided. A prototype system is developed to verify the proposed system and a simulation model is built to evaluate the performance of the proposed system. The results indicate that the proposed system generates better performance compared with traditional system with regard to cycle time and machine utilizations, especially when some disruptions occur.

Integrative Modeling Platform for Design and Control of an Adaptive Wind Turbine Blade

2018 ◽  
Author(s):  
Hamid Khakpour Nejadkhaki ◽  
John F. Hall ◽  
Minghui Zheng ◽  
Teng Wu
Keyword(s):  
Simulation Model ◽  
Wind Turbine ◽  
Real Time ◽  
Turbine Blade ◽  
Design Tool ◽  
Real Time Control ◽  
Time Control ◽  
Partial Load ◽  
And Control

A platform for the engineering design, performance, and control of an adaptive wind turbine blade is presented. This environment includes a simulation model, integrative design tool, and control framework. The authors are currently developing a novel blade with an adaptive twist angle distribution (TAD). The TAD influences the aerodynamic loads and thus, system dynamics. The modeling platform facilitates the use of an integrative design tool that establishes the TAD in relation to wind speed. The outcome of this design enables the transformation of the TAD during operation. Still, a robust control method is required to realize the benefits of the adaptive TAD. Moreover, simulation of the TAD is computationally expensive. It also requires a unique approach for both partial and full-load operation. A framework is currently being developed to relate the TAD to the wind turbine and its components. Understanding the relationship between the TAD and the dynamic system is crucial in the establishment of real-time control. This capability is necessary to improve wind capture and reduce system loads. In the current state of development, the platform is capable of maximizing wind capture during partial-load operation. However, the control tasks related to Region 3 and load mitigation are more complex. Our framework will require high-fidelity modeling and reduced-order models that support real-time control. The paper outlines the components of this framework that is being developed. The proposed platform will facilitate expansion and the use of these required modeling techniques. A case study of a 20 kW system is presented based upon the partial-load operation. The study demonstrates how the platform is used to design and control the blade. A low-dimensional aerodynamic model characterizes the blade performance. This interacts with the simulation model to predict the power production. The design tool establishes actuator locations and stiffness properties required for the blade shape to achieve a range of TAD configurations. A supervisory control model is implemented and used to demonstrate how the simulation model blade performs in the case study.

A Data-Driven Simulation-Based Optimisation Approach for Adaptive Scheduling and Control of Dynamic Manufacturing Systems

2016 ◽  
Vol 1140 ◽  
pp. 449-456 ◽  
Author(s):  
Mirko Kück ◽  
Jens Ehm ◽  
Michael Freitag ◽  
Enzo M. Frazzon ◽  
Ricardo Pimentel
Keyword(s):  
Simulation Model ◽  
Real Time ◽  
Flexible Manufacturing ◽  
Manufacturing Systems ◽  
Shop Floor ◽  
Time Data ◽  
Rush Order ◽  
Real Time Data ◽  
High Flexibility ◽  
And Control

The increasing customisation of products, which leads to higher numbers of product variants with smaller lot sizes, requires a high flexibility of manufacturing systems. These systems are subject to dynamic influences and need increasing effort for the generation of the production schedules and for the control of the processes. This paper presents an approach that addresses these challenges. First, scheduling is done by coupling an optimisation heuristic with a simulation model to handle complex and stochastic manufacturing systems. Second, the simulation model is continuously adapted by real-time data from the shop floor. If, e.g., a machine breakdown or a rush order appears, the simulation model and consequently the scheduling model is updated and the optimisation heuristic adjusts an existing schedule or generates a new one. This approach uses real-time data provided by future cyber-physical systems to integrate scheduling and control and to manage the dynamics of highly flexible manufacturing systems.

Design and Implementation of Scalable Autonomous Centralized Fault-Tolerant Scheme for Satellite System

2012 ◽  
Vol 532-533 ◽  
pp. 813-817 ◽  
Author(s):  
Hao Zhou ◽  
Yu Hua Tang ◽  
Jing Fei Jiang
Keyword(s):  
Real Time ◽  
System Reliability ◽  
Fault Tolerant ◽  
Functional Module ◽  
Satellite System ◽  
Prototype System ◽  
Control Node ◽  
System Node ◽  
Application Requirements ◽  
And Control

Depending on application requirements, the number of processing nodes in parallel satellite system varies. Currently, fault-tolerant design for satellite system often aims to solve specific problems, lacking in universality. This paper presents a scalable autonomous centralized fault-tolerant (SACFt) architecture. Based on it, functional module framework of each system node and autonomous fault-tolerant strategy are designed. This scheme is insensitive to scale change of the processing nodes. It can ensure autonomous fault tolerance and control node parallelism on demand flexibly at the same time, balancing system reliability, scalability, autonomy, real-time feature and many other factors. The validity and real-time feature of the proposed scheme has been verified and evaluated on the prototype system.

Real-Time Collaborative Solid Shape Design (RCSSD) on the Internet

2002 ◽  
Vol 10 (3) ◽  
pp. 229-238 ◽  
Author(s):  
Stephen C. F. Chan ◽  
Vincent T. Y. Ng
Keyword(s):  
Real Time ◽  
Solid Modeling ◽  
The Internet ◽  
Shape Design ◽  
Prototype System ◽  
Solid Models ◽  
Modeling Software ◽  
Efficient Representation ◽  
The Many ◽  
And Control

The Internet and the World-Wide Web created a new infrastructure and new possibilities for concurrent engineering. In order to support real-time (synchronous) collaborative solid shape design, however, some major issues still have to be resolved. These involved deployment of solid modeling software on the Web, shared access to common solid models, communication and control of the design actions among designers, and efficient representation of the many different but related design versions of the product. This paper discusses the development of a real-time collaborative solid modeling system that addresses these issues. The prototype system has been implemented in a client-server environment in Java, using the Java Remote Method Invocation package for networking support.

scholarly journals Performance and Control Strategy of Real-Time Simulation of a Three-Phase Solid-State Transformer

2019 ◽  
Vol 9 (4) ◽  
pp. 789 ◽  
Author(s):  
Jorge Almaguer ◽  
Víctor Cárdenas ◽  
Jose Espinoza ◽  
Alejandro Aganza-Torres ◽  
Marcos González
Keyword(s):  
Solid State ◽  
Simulation Model ◽  
Real Time ◽  
Switching Frequency ◽  
Solid State Transformer ◽  
Real Time Simulation ◽  
Time Simulation ◽  
Three Phase ◽  
Electronic Hardware ◽  
And Control

This paper shows the real-time simulation of a three-stage three-phase solid-state transformer with an Opal OP5607 platform. The simulation model considers the complete electronic full-order circuit for the topology without the use of simplifications, such as average models or equivalent circuits for the coupling transformer and the input and output converters, which may neglect part of the dynamics of interest for the converter design. The simulation is made through an electronic hardware solver (eHS), which can achieve smaller solving times than the regular algorithms, allowing to reach the switching frequency rate for this converters. The simulation model takes the RTE-library which is used for DC-DC converters, with simple arrangements in order to operate with the topology.

Microstructural investigation of surface roughness in MBE-grown AlAs

1995 ◽  
Vol 53 ◽  
pp. 454-455
Author(s):  
R. Rajesh ◽  
R. Droopad ◽  
C. H. Kuo ◽  
R. W. Carpenter ◽  
G. N. Maracas
Keyword(s):  
Thin Film ◽  
Real Time ◽  
Growth Control ◽  
Native Oxide ◽  
Effusion Cell ◽  
Surface Oxide Layer ◽  
Microstructural Investigation ◽  
Mbe Growth ◽  
Film Substrate ◽  
And Control

Knowledge of material pseudodielectric functions at MBE growth temperatures is essential for achieving in-situ, real time growth control. This allows us to accurately monitor and control thicknesses of the layers during growth. Undesired effusion cell temperature fluctuations during growth can thus be compensated for in real-time by spectroscopic ellipsometry. The accuracy in determining pseudodielectric functions is increased if one does not require applying a structure model to correct for the presence of an unknown surface layer such as a native oxide. Performing these measurements in an MBE reactor on as-grown material gives us this advantage. Thus, a simple three phase model (vacuum/thin film/substrate) can be used to obtain thin film data without uncertainties arising from a surface oxide layer of unknown composition and temperature dependence.In this study, we obtain the pseudodielectric functions of MBE-grown AlAs from growth temperature (650°C) to room temperature (30°C). The profile of the wavelength-dependent function from the ellipsometry data indicated a rough surface after growth of 0.5 μm of AlAs at a substrate temperature of 600°C, which is typical for MBE-growth of GaAs.

Adaptive Signal Analysis and Interpretation for Real-time Intelligent Patient Monitoring

1994 ◽  
Vol 33 (01) ◽  
pp. 60-63 ◽  
Author(s):  
E. J. Manders ◽  
D. P. Lindstrom ◽  
B. M. Dawant
Keyword(s):  
Computer Architecture ◽  
Real Time ◽  
Data Abstraction ◽  
Monitoring Strategy ◽  
Intelligent Monitoring ◽  
Patient Status ◽  
On Line ◽  
Main Components ◽  
And Control ◽  
Adaptive Signal

Abstract:On-line intelligent monitoring, diagnosis, and control of dynamic systems such as patients in intensive care units necessitates the context-dependent acquisition, processing, analysis, and interpretation of large amounts of possibly noisy and incomplete data. The dynamic nature of the process also requires a continuous evaluation and adaptation of the monitoring strategy to respond to changes both in the monitored patient and in the monitoring equipment. Moreover, real-time constraints may imply data losses, the importance of which has to be minimized. This paper presents a computer architecture designed to accomplish these tasks. Its main components are a model and a data abstraction module. The model provides the system with a monitoring context related to the patient status. The data abstraction module relies on that information to adapt the monitoring strategy and provide the model with the necessary information. This paper focuses on the data abstraction module and its interaction with the model.

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