Conferences related to Distillation equipment

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2021 IEEE International Conference on Fuzzy Systems (FUZZ-IEEE)

FUZZ-IEEE 2021 will represent a unique meeting point for scientists and engineers, both from academia and industry, to interact and discuss the latest enhancements and innovations in the field. The topics of the conference will cover all the aspects of theory and applications of fuzzy sets, fuzzy logic and associated approaches (e.g. aggregation operators such as the Fuzzy Integral), as well as their hybridizations with other artificial and computational intelligence techniques.


2021 IEEE Photovoltaic Specialists Conference (PVSC)

Photovoltaic materials, devices, systems and related science and technology


2020 59th IEEE Conference on Decision and Control (CDC)

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.


2020 American Control Conference (ACC)

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

  • 2019 American Control Conference (ACC)

    Technical topics include biological systems, vehicle dynamics and control, adaptive control, consensus control, cooperative control, control of communication networks, control of networked systems, control of distributed parameter systems, decentralized control, delay systems, discrete-event systems, fault detection, fault-tolerant systems, flexible structures, flight control, formation flying, fuzzy systems, hybrid systems, system identification, iterative learning control, model predictive control, linear parameter-varying systems, linear matrix inequalities, machine learning, manufacturing systems, robotics, multi-agent systems, neural networks, nonlinear control, observers, optimal control, optimization, path planning, navigation, robust control, sensor fusion, sliding mode control, stochastic systems, switched systems, uncertain systems, game theory.

  • 2018 Annual American Control Conference (ACC)

    Technical topics include biological systems, vehicle dynamics and control, adaptive control, consensus control, cooperative control, control of communication networks, control of networked systems, control of distributed parameter systems, decentralized control, delay systems, discrete-event systems, fault detection, fault-tolerant systems, flexible structures, flight control, formation flying, fuzzy systems, hybrid systems, system identification, iterative learning control, model predictive control, linear parameter-varying systems, linear matrix inequalities, machine learning, manufacturing systems, robotics, multi-agent systems, neural networks, nonlinear control, observers, optimal control, optimization, path planning, navigation, robust control, sensor fusion, sliding mode control, stochastic systems, switched systems, uncertain systems, game theory.

  • 2017 American Control Conference (ACC)

    Technical topics include biological systems, vehicle dynamics and control, adaptive control, consensus control, cooperative control, control of communication networks, control of networked systems, control of distributed parameter systems, decentralized control, delay systems, discrete-event systems, fault detection, fault-tolerant systems, flexible structures, flight control, formation flying, fuzzy systems, hybrid systems, system identification, iterative learning control, model predictive control, linear parameter-varying systems, linear matrix inequalities, machine learning, manufacturing systems, robotics, multi-agent systems, neural networks, nonlinear control, observers, optimal control, optimization, path planning, navigation, robust control, sensor fusion, sliding mode control, stochastic systems, switched systems, uncertain systems, game theory.

  • 2016 American Control Conference (ACC)

    Control systems theory and practice. Conference topics include biological systems, vehicle dynamics and control, consensus control, cooperative control, control of communication networks, control of networked systems, control of distributed parameter systems, decentralized control, delay systems, discrete-event systems, fault detection, fault-tolerant systems, flexible structures, flight control, formation flying, fuzzy systems, hybrid systems, system identification, iterative learning control, model predictive control, linear parameter-varying systems, linear matrix inequalities, machine learning, manufacturing systems, robotics, multi-agent systems, neural networks, nonlinear control, observers, optimal control, optimization, path planning, navigation, robust control, sensor fusion, sliding mode control, stochastic systems, switched systems, uncertain systems, game theory.

  • 2015 American Control Conference (ACC)

    control theory, technology, and practice

  • 2014 American Control Conference - ACC 2014

    All areas of the theory and practice of automatic control, including but not limited to network control systems, model predictive control, systems analysis in biology and medicine, hybrid and switched systems, aerospace systems, power and energy systems and control of nano- and micro-systems.

  • 2013 American Control Conference (ACC)

    Control systems theory and practice. Conference themes on sustainability, societal challenges for control, smart healthcare systems. Conference topics include biological systems, vehicle dynamics and control, consensus control, cooperative control, control of communication networks, control of networked systems, control of distributed parameter systems, decentralized control, delay systems, discrete-event systems, fault detection, fault-tolerant systems, flexible structures, flight control, formation flying, fuzzy systems, hybrid systems, system identification, iterative learning control, model predictive control, linear parameter-varying systems, linear matrix inequalities, machine learning, manufacturing systems, robotics, multi-agent systems, neural networks, nonlinear control, observers, optimal control, optimization, path planning, navigation, robust control, sensor fusion, sliding mode control, stochastic systems, switched systems, uncertain systems, game theory.

  • 2012 American Control Conference - ACC 2012

    All areas of control engineering and science.

  • 2011 American Control Conference - ACC 2011

    ACC provides a forum for bringing industry and academia together to discuss the latest developments in the area of Automatic Control Systems, from new control theories, to the advances in sensors and actuator technologies, and to new applications areas for automation.

  • 2010 American Control Conference - ACC 2010

    Theory and practice of automatic control

  • 2009 American Control Conference - ACC 2009

    The 2009 ACC technical program will cover new developments related to theory, application, and education in control science and engineering. In addition to regular technical sessions the program will also feature interactive and tutorial sessions and preconference workshops.

  • 2008 American Control Conference - ACC 2008

  • 2007 American Control Conference - ACC 2007

  • 2006 American Control Conference - ACC 2006 (Silver Anniversary)

  • 2005 American Control Conference - ACC 2005

  • 2004 American Control Conference - ACC 2004

  • 2003 American Control Conference - ACC 2003

  • 2002 American Control Conference - ACC 2002

  • 2001 American Control Conference - ACC 2001

  • 2000 American Control Conference - ACC 2000

  • 1999 American Control Conference - ACC '99

  • 1998 American Control Conference - ACC '98

  • 1997 American Control Conference - ACC '97

  • 1996 13th Triennial World Congress of the International Federation of Automatic Control (IFAC)


IECON 2020 - 46th Annual Conference of the IEEE Industrial Electronics Society

IECON is focusing on industrial and manufacturing theory and applications of electronics, controls, communications, instrumentation and computational intelligence.


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Periodicals related to Distillation equipment

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Automatic Control, IEEE Transactions on

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 ...


Control Systems Magazine, IEEE

The magazine covers theory, analysis, design (computer-aided design), and practical implementation of circuits, and the application of circuit theoretic techniques to systems and to signal processing. Content is written for the spectrum of activities from basic scientific theory to industrial applications.


Control Systems Technology, IEEE Transactions on

Serves as a compendium for papers on the technological advances in control engineering and as an archival publication which will bridge the gap between theory and practice. Papers will highlight the latest knowledge, exploratory developments, and practical applications in all aspects of the technology needed to implement control systems from analysis and design through simulation and hardware.


Evolutionary Computation, IEEE Transactions on

Papers on application, design, and theory of evolutionary computation, with emphasis given to engineering systems and scientific applications. Evolutionary optimization, machine learning, intelligent systems design, image processing and machine vision, pattern recognition, evolutionary neurocomputing, evolutionary fuzzy systems, applications in biomedicine and biochemistry, robotics and control, mathematical modelling, civil, chemical, aeronautical, and industrial engineering applications.


Industrial Electronics, IEEE Transactions on

Theory and applications of industrial electronics and control instrumentation science and engineering, including microprocessor control systems, high-power controls, process control, programmable controllers, numerical and program control systems, flow meters, and identification systems.


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Most published Xplore authors for Distillation equipment

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Xplore Articles related to Distillation equipment

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Neural model predictive control of nonlinear chemical processes

Proceedings of 8th IEEE International Symposium on Intelligent Control, 1993

There are two different neural network dynamic modeling approaches. A comparison of the two modeling approaches in terms of their model predictive control (MPC) performance is given. Two chemical processes, a polymer reactor and a distillation column, are studied.<<ETX>>


An indirect approach to closed-loop identification of Wiener models

Proceedings of the 1999 American Control Conference (Cat. No. 99CH36251), 1999

A Wiener model is a nonlinear block oriented model with a linear time- invariant block followed by a static nonlinear block. This paper presents a method to identify Wiener models with a general disturbance configuration in closed-loop using the indirect approach. The method is applied to data generated by a nonlinear simulation model of high purity distillation column.


An investigation into the dynamics of the distillation column, search for A wave effects

IEEE Proceedings on Southeastcon, 1990

Partial differential equations for describing the dynamic behavior of the compositions within the rectifying and stripping sections of a distillation column are derived. Both liquid and vapor capacitances in each cell of the rectifier and stripper are considered. Some conceptual difficulties which exist in establishing the equivalence of the two forms of the column (i.e., the single-cell capacitance and twin-cell ...


Feedforward quality control through inventory manipulation in periodically perturbed mixed accumulators

Proceedings. ICCON IEEE International Conference on Control and Applications, 1989

None


Design of feedforward-feedback controller for reactive distillation column having inverse response

2018 Indian Control Conference (ICC), 2018

Inverse response occurs due to the two opposing processes working at the same time. This inverse response can occur because of a step change either in a load variable or a manipulated variable. In this paper inverse response due to a load variable is considered for a reactive distillation column carrying an esterification reaction. A feedforward-feedback controller is designed to ...


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Educational Resources on Distillation equipment

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IEEE-USA E-Books

  • Neural model predictive control of nonlinear chemical processes

    There are two different neural network dynamic modeling approaches. A comparison of the two modeling approaches in terms of their model predictive control (MPC) performance is given. Two chemical processes, a polymer reactor and a distillation column, are studied.<<ETX>>

  • An indirect approach to closed-loop identification of Wiener models

    A Wiener model is a nonlinear block oriented model with a linear time- invariant block followed by a static nonlinear block. This paper presents a method to identify Wiener models with a general disturbance configuration in closed-loop using the indirect approach. The method is applied to data generated by a nonlinear simulation model of high purity distillation column.

  • An investigation into the dynamics of the distillation column, search for A wave effects

    Partial differential equations for describing the dynamic behavior of the compositions within the rectifying and stripping sections of a distillation column are derived. Both liquid and vapor capacitances in each cell of the rectifier and stripper are considered. Some conceptual difficulties which exist in establishing the equivalence of the two forms of the column (i.e., the single-cell capacitance and twin-cell capacitance models) are explored. It is shown that the column with small vapor capacitance compares well with previously published work. Near-first-order behavior is a feature common to these findings. A nonminimum-phase effect is noticed for the column with larger vapor capacitance.<<ETX>>

  • Feedforward quality control through inventory manipulation in periodically perturbed mixed accumulators

    None

  • Design of feedforward-feedback controller for reactive distillation column having inverse response

    Inverse response occurs due to the two opposing processes working at the same time. This inverse response can occur because of a step change either in a load variable or a manipulated variable. In this paper inverse response due to a load variable is considered for a reactive distillation column carrying an esterification reaction. A feedforward-feedback controller is designed to eliminate the effect of inverse response in the process. The results showed a decrease in sluggishness and integral errors while using a feedforward- feedback controller instead of a feedback controller in the closed loop.

  • Analysis and nonlinear control of an ethyl acetate reactive distillation column

    In this work, we study a reactive distillation column for the production of ethyl acetate. Initially we propose a configuration that involves feeding the two reactants in different trays and allows obtaining higher conversion and purity than the conventional configuration that involves feeding in a single tray. A nonlinear controller is then designed to control the product purity in this new configuration with good set-point tracking and disturbance rejection properties, and its performance is compared with that of a linear proportional-integral (PI) controller.

  • Design PID controller for TITO process based on least square optimization tuning method

    In this paper, a new auto tuning least square optimization tuning technique is presented to design Wood and Berry (WB) distillation column. It has Two Inputs and Two Outputs (TITO) binary distillation column. Design of TITO systems with decentralized, centralized, decouplers (compensators) and optimization tuning methods are not guaranteed to achieve desired output response. By adopting least square optimization tuning, it acts like an auto tuning control strategy. Hence, best performance characteristics of the system can be obtained. Here, WB TITO system is designed with full centralized structure and its PID values are evaluated from the MATLAB simulation program. Performance of the closed loop system is compared with Real Coded Genetic algorithm (RGA) and Covariance Matrix Adaption Evolution Strategy (CMAES). Best simulation results and performance indices values are obtained in least square optimization tuning method.

  • System identification of ethane-ethylene distillation process using linear and Nonlinear ARX approaches

    This paper present a comparison study toward process modeling and identification using linear ARX and Nonlinear ARX (NARX) approaches in an attempt to capture the dynamics of a continuous distillation column derived from simulated data of ethane and ethylene separation process obtained in DaIsy database. Each of the resultant modeling were compared and tested to understand which method perform better for the given sets of data using established model verification method. Result shows NARX modeling approach was found to be superior to the linear ARX approach in defining the studied process.

  • SIS series simulator and its application in petro-chemical plant operations training

    Distillation column is the most common and very important unit in petro- chemical plant. This paper completes a 4-component and 119-plate ethene-ethane distillation column training simulator based on the microcomputers, realizes multi-component, multi-tray complex distillation process real-time simulation. In the paper, the hardware and the software of the SIS training simulator system were described. The simplified model of the column was also discussed. A real-time simulation method for simulating large, complex and long-time computation system was proposed. The training simulator finished in this paper included the basic operations, emergency procedures, startup, shutdown and other training courses of the distillation process. This paper reviews the functions, objectives and constitution of the simulator.

  • Internal Model Control of Coupled Distillation Columns

    Experimental studies in the control of coupled distillation columns have seen performed to satisfy two objectives: 1. To provide an experimental test of previously developed operability and resiliency measures for multivariable systems. 2. To demonstrate the design of Internal Model Control (IMC) controllers for such systems and make comparisons on the basis of performance and ease of tuning with conventional algorithms like PID controllers. To attain these goals, two pilot plant distillation columns were arranged in a coupled configuration and step tests were used to identify input-output relationships. Systems with different levels of operability and resilience were selected and corresponding IMC controllers were designed and tested. The experimental results show clearly that the operability analysis is sufficient to distinguish extremes, but for fine distinctions, a knowledge of desired output changes, disturbances and model uncertainties must be included in the decision process. In addition a method to combine the sometimes contradictory resilience criteria needs to be defined. IMC is shown to be simple to implement, easy to tune, and to produce superior control performance.



Standards related to Distillation equipment

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