Industrial Process Control
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2021 IEEE Photovoltaic Specialists Conference (PVSC)
Photovoltaic materials, devices, systems and related science and technology
The CDC is the premier conference dedicated to the advancement of the theory and practice of systems and control. The CDC annually brings together an international community of researchers and practitioners in the field of automatic control to discuss new research results, perspectives on future developments, and innovative applications relevant to decision making, automatic control, and related areas.
The ACC is the annual conference of the American Automatic Control Council (AACC, the U.S. national member organization of the International Federation for Automatic Control (IFAC)). The ACC is internationally recognized as a premier scientific and engineering conference dedicated to the advancement of control theory and practice. The ACC brings together an international community of researchers and practitioners to discuss the latest findings in automatic control. The 2020 ACC technical program will
ISIE focuses on advancements in knowledge, new methods, and technologies relevant to industrial electronics, along with their applications and future developments.
All topics related to engineering and technology management, including applicable analytical methods and economical/social/human issues to be considered in making engineering decisions.
The theory, design and application of Control Systems. It shall encompass components, and the integration of these components, as are necessary for the construction of such systems. The word `systems' as used herein shall be interpreted to include physical, biological, organizational and other entities and combinations thereof, which can be represented through a mathematical symbolism. The Field of Interest: shall ...
The IEEE Transactions on Automation Sciences and Engineering (T-ASE) publishes fundamental papers on Automation, emphasizing scientific results that advance efficiency, quality, productivity, and reliability. T-ASE encourages interdisciplinary approaches from computer science, control systems, electrical engineering, mathematics, mechanical engineering, operations research, and other fields. We welcome results relevant to industries such as agriculture, biotechnology, healthcare, home automation, maintenance, manufacturing, pharmaceuticals, retail, ...
Video A/D and D/A, display technology, image analysis and processing, video signal characterization and representation, video compression techniques and signal processing, multidimensional filters and transforms, analog video signal processing, neural networks for video applications, nonlinear video signal processing, video storage and retrieval, computer vision, packet video, high-speed real-time circuits, VLSI architecture and implementation for video technology, multiprocessor systems--hardware and software-- ...
IEEE Communications Magazine was the number three most-cited journal in telecommunications and the number eighteen cited journal in electrical and electronics engineering in 2004, according to the annual Journal Citation Report (2004 edition) published by the Institute for Scientific Information. Read more at http://www.ieee.org/products/citations.html. This magazine covers all areas of communications such as lightwave telecommunications, high-speed data communications, personal communications ...
Computer, the flagship publication of the IEEE Computer Society, publishes peer-reviewed technical content that covers all aspects of computer science, computer engineering, technology, and applications. Computer is a resource that practitioners, researchers, and managers can rely on to provide timely information about current research developments, trends, best practices, and changes in the profession.
Proceedings 2000 International Conference on Computer Design, 2000
Industrial process control is an untapped market for field programmable gate arrays (FPGAs). Programs used for industrial process control are traditionally written in a graphical language called relay ladder logic, and implemented on programmable logic controllers (PLCs). The mapping of ladder logic onto typical FPGAs is a lengthy process, and results are hard to verify. We propose an FPGA architecture ...
2010 8th World Congress on Intelligent Control and Automation, 2010
The dynamic optimization problem of a multivariable endothermic reaction in cascade continuous stirred tank reactors is solved with simultaneous method in this paper. Radau collocation is applied in discretization because of its stiff decay and high precision. A two-layer optimization is presented to get a fast convergence rate when dealing with the nonlinear case. In the industry process, the load ...
Proceedings of the International Conference on Electromagnetic Interference and Compatibility, 1999
EMI restricts automation of the process control industries. A method of solving EMI problems by using a SMPS power supply and resonating it at high frequency is described. At the same time use of resonance mode SMPS helps by provide advantages of higher efficiency (95%), less heat dissipation, reliability of operation and compactness. This paper is the outcome during development ...
2016 IEEE-NPSS Real Time Conference (RT), 2016
XENON1T is a next generation Dark Matter search experiment using 3.5 tons of liquid xenon for direct detection of Dark Matter. A dual-phase liquid xenon Time Projection Chamber (TPC) shielded below 1400 m of rock at the Gran Sasso underground laboratory in Italy serves as both target and detector. The TPC is inside a 10 m high by 9.5 m ...
2008 Chinese Control and Decision Conference, 2008
In this paper, we propose a new model for the industrial process control based on data mining. It solves the problem to a certain extent, which difficult to diagnose and forecast the state of the aluminium electrolysis cell. It realizes that the control parameter optimized decision-making, and the evolution regularity of the state of aluminium electrolysis also be discovered. Finally, ...
Risk Prevention for Industrial Controls: IECON 2018
Fog Computing: From Vision to Reality - Flavio Bonomi, Fog World Congress 2017
Robotics History: Narratives and Networks Oral Histories: Jun Ho Oh
Qing-Chang Zhong, Distinguished Lecturer - PELS
Overview of NEREID - Francis Balestra at INC 2019
Tutorial: Model Predictive Control of Power Electronic Converters, Part Two, Tomislav Dragicevic - IECON 2018
Flywheel Energy Storage for the 21st Century: APEC 2019
Nebbiolo Technologies Pitch: Fog Tank - Fog World Congress
Marian P. Kazmierkowski receives the IEEE Medal in Power Engineering - Honors Ceremony 2017
Howard Shrobe: Runtime Security Monitor for Real-time Critical System Embedded Applications: WF IoT 2016
ICRA 2020-Live Project Demo: Memmo
Tutorial: Model Predictive Control of Power Electronic Converters, Part One, Jose Rodriguez - IECON 2018
Additive-generative Industrial Design for Robotic Automation
Infineon: Innovative Semiconductor Solutions
Globecom 2019: Richard Li Keynote
The Design of Wearable Robots for Lower-Extremity Human Augmentation
ITRI: Technology Advances in Flexible Displays and Substrates
Richard J. Thompson Jr.: Crystal Clear
2015 IEEE Honors: IEEE Medal in Power Engineering - Fred C. Lee
Industrial process control is an untapped market for field programmable gate arrays (FPGAs). Programs used for industrial process control are traditionally written in a graphical language called relay ladder logic, and implemented on programmable logic controllers (PLCs). The mapping of ladder logic onto typical FPGAs is a lengthy process, and results are hard to verify. We propose an FPGA architecture implementing relay ladder logic directly. Conversion to Boolean algebra is eliminated. Technology mapping is simple and direct. Placement and routing are also considerably simpler than in the general FPGA case. The architecture scales to devices of differing sizes and resources. This paper describes the FPGA architecture, and its role in high performance industrial process control.
The dynamic optimization problem of a multivariable endothermic reaction in cascade continuous stirred tank reactors is solved with simultaneous method in this paper. Radau collocation is applied in discretization because of its stiff decay and high precision. A two-layer optimization is presented to get a fast convergence rate when dealing with the nonlinear case. In the industry process, the load variation may be very large and may cause output variable's big overshoot. In order to reduce the overshoot, a segmentation load variation method is introduced. The good results of this nonlinear ordinary differential equations system show the validity of these methods.
EMI restricts automation of the process control industries. A method of solving EMI problems by using a SMPS power supply and resonating it at high frequency is described. At the same time use of resonance mode SMPS helps by provide advantages of higher efficiency (95%), less heat dissipation, reliability of operation and compactness. This paper is the outcome during development and maintenance of microcontroller based process control instruments for Nalco, Orissa.
XENON1T is a next generation Dark Matter search experiment using 3.5 tons of liquid xenon for direct detection of Dark Matter. A dual-phase liquid xenon Time Projection Chamber (TPC) shielded below 1400 m of rock at the Gran Sasso underground laboratory in Italy serves as both target and detector. The TPC is inside a 10 m high by 9.5 m diameter water Cherenkov detector serving as an active muon veto. The Slow Control system is based on industrial process control hardware and software. It is now being used to commission the detector. The system provides secure monitoring and control by collaborators, shifters and experts at both local and remote locations. 3.5 tons of liquid xenon requires extreme care to guard the safety of the instrumentation and to prevent the loss of any of the high value xenon. The system consists of a distributed architecture of networked local control units with touch panels for local control. Critical operations can be guarded by requiring specific conditions to be satisfied before they are allowed to be executed. Two Supervisory Control And Data Acquisition (SCADA) computers provide active- passive redundancy. All operating parameters and their history are stored and can be displayed. Alarm messages are sent by email, cellular network and by pre-recorded voice over land telephone lines. Experience with both the benefits and the disadvantages of using industrial process control hardware and software are presented.
In this paper, we propose a new model for the industrial process control based on data mining. It solves the problem to a certain extent, which difficult to diagnose and forecast the state of the aluminium electrolysis cell. It realizes that the control parameter optimized decision-making, and the evolution regularity of the state of aluminium electrolysis also be discovered. Finally, it enhances the electrolysis efficiency, reduces the energy consumption, and makes the industrial process more intelligence.
In the paper, based on hierarchical control structure in steady-state optimization of industrial processes and iterative learning control law for linear industrial process control systems, the iterative learning control is applied to saturated nonlinear industrial control systems and nonlinear industrial control systems with changing gains. The weighted PD-type closed- loop iterative learning control algorithm and weighted power-type open-closed- loop iterative learning algorithm are discussed respectively. The definitions of /spl delta/-reachability of objective trajectory and /spl epsi/-convergence of the iterative learning control algorithm are suggested. By means of Bellman-Gronwall inequality and /spl lambda/-norm theory, the convergence of the algorithms is also proved. The numerical simulation shows that the iterative learning control can remarkably improve the dynamic performance of industrial control systems in steady-state optimization.
Differential Evolution is a population based optimization technique which discretizes the sample space of solution based on generations of population members and performs a fitness evaluation to determine the best population members. The fitness evaluation process involves lengthy calculations, thus becoming the most redundant and time consuming aspect of the program. The aim of the proposed work is to parallelize an industrial process control program which is based on differential evolution. The parallelization of program has been carried out using a multi-threading approach, in which the independent iterations of the fitness evaluation of Differential Evolution have been distributed uniformly into separate worker threads, which are then simultaneously executed on a multi core architecture GPU machine. By parallelizing the fitness evaluation of the program over the population members in a particular generation, a speed up of 3.99 times in the overall execution time has been observed.
The overall aim of the project is to investigate the application of an optical tomographic system in an industrial process control system. Measurements were made with lensed optical fibre sensors using a hydraulic flow rig. A custom heating fixture was used to construct the lenses. The system employs a combination of two orthogonal projections consisting of sixteen sensors and two rectilinear projections consisting of twenty two sensors. Optical energy is projected into the measurement volume using a well collimated beam from four projectors. Gas bubbles, with an approximate diameter of 1 cm are injected at the bottom of the gas column. Gas volume flow rates of 0-71/min are being investigated. Optical sensors are intended for use where the conveyed component ratio is less than 10% vol./vol. The purpose of the system is for online monitoring of concentration and velocity profiles in two-phase flows.
We present in this paper the model capture module of an industrial process control studio development tool dedicated to industrial control and process automation. It is through this module that the user is given an avenue to capture or model relevant abstract control problems for rapid prototyping on programmable logic controllers (PLCs) as well as embedded microprocessor systems or even FPGA-based controllers. The model capture tool is a reconfigurable IDE (integrated development environment) that can be used to model a control application using one of the five different PLC programming languages (ladder diagram, sequential function chart, function logic block, structured text, and instruction list) defined by the IEC 61131-3 standard
We present and review the state-of-the-art results from distributed feedback quantum cascade laser in the wavelength range from 4 to 11 μm for environmental monitoring, industrial process control and health diagnostic applications.
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Embedded Systems Engineer - ELSYS
Georgia Tech Research Institute (GTRI)