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#6 2019


Industrial Automation Companies

On the symbiosis of science and practice. To the 80th anniversary of V.A. Trapeznikov Institute of Control Sciences, Russian Academy of Sciences.


Menn A.A.  Computer engineering and programming in the researches of the Institute of Control Sciences, RAS

Several significant computer engineering and programming cases stemming from the researches of Institute of Control Sciences are reviewed. Key points of history which have determined the successes and failures of both the Institute and the whole country in a critical area of national economy are described.

Keywords: computer engineering, software, analog-digital systems, system programming, hybrid computers.

Chadeev V.M.  Process identification and control systems with identifier

The paper lists key results from system identification theory obtained in the Institute of Control Sciences including the recent works in the construction of the probability density of small sample-based parameter estimates. The experience accumulated in the development and application of adaptive control systems with identifier (ASI) is reviewed including the know-how and important details critical for ensuring system operability. Model quality evaluation and project pre-audit procedures for ASI are included.

Keywords: identification of control plants, adaptive identification algorithms, probability density of least squares estimators, large-scale process plants, predictive models, prediction error, dynamic plants, predictive control, model uncertainty measure.

Itskovich E.L., Aristova N.I.  Modern process sensors: new domestic solutions

The state of the art and development trends of sensors for process plants are analyzed. The results of the researches done by domestic developers in the field of new sensors and transducers are overviewed.

Keywords: sensors, transducers, process plants, wireless communication, diagnosis, new physical measurement techniques.

Applied Science Works

Veresnikov G.S., Pankova L.A., Pronina V.A., Bashkirov I.G.  Procedure, methods, and models for aerodynamic aircraft predesigning under parametric uncertainty

Procedure, methods, models and software are developed for solving multi-objective optimization tasks at early stages of aircraft design under input and design parameters with epistemic and aleatory uncertainties. Their application will result in design time and cost reduction coupled with higher informativity of predesigning stage for new generation aircrafts. An example is included with the calculation of aircraft weight parameters and the optimal parameters of a propulsion unit meeting the requirements for supersonic cruising flight range and priority performance requirements for subsonic flight speeds.

Keywords: predesigning, aircraft, uncertainty theory, statistical modeling, genetic algorithm.

Samotylova S.A., Torgashov A.Yu.  Developing a quality estimator for MTBE process based on an insufficient learning sample

The paper discusses the development of a quality estimator (QE) for an MTBE plant in the cases when the learning sample either is small or does not comprise the whole of quality range because of process plant non-stationarity as well as the difficulty and high cost of retrieving more information. To overcome the challenge, the paper offers an algorithm for supplementing the original learning sample by means of a first principles model of an MTBE distillation column under the unknown Murphree tray efficiency value. The resulting QE enables 40% improvement of product quality prediction.

Keywords: predictive modeling, quality estimator, distillation column, supplemented learning sample.

Yakovis L.M.  Alternative approaches to continuous process control

The paper analyzes and compares two approaches to the dynamic process optimization: advanced process control and traditional two-level control with standard base-level controllers. Both approaches are examined with example of an inertial object with dead time: a model that is often used to describe continuous processes.

Keywords: continuous process, two-level control, APC, standard base-level controller, optimization.

Tolok A.V., Tolok N.B., Batuev E.R.  Voxel modeling of the control of prototype manufacturing with additive technologies

The paper discusses the principles of controlling the parameters of a functional voxel model during the manufacturing of a part prototype using additive technologies. A way to build a functional voxel model based on the mapping of local geometry features is considered. An approach is offered to supporting structures modeling, which employs gradient motion in the space of functional voxel models based on the solidification principle.

Keywords: additive technologies, R-function, voxel, functional voxel method, gradient local search algorithm, supporting structures, support.

Antonova G.M.  IMFUS-L1 network simulator

The paper presents a software suite developed in the Institute of Control Sciences RAS in collaboration with Defense Ministry's institutes as a network simulator for evaluating the characteristics of distributed data acquisition and processing systems. The product can be also used for students training.

Keywords: network simulator, training system, data communications networks, networking equipment.

Journal's Club

Boguslavsky L.B., Dozortsev V.M., Menn A.A., Sorkin L.R., Shestakov N.V.  From the Institute of Control Sciences of the 1970s-80s towards the innovative business: transition challenges

The employees of the Institute of Control Sciences of the 1970s-80s who had attained significant results in science-intensive businesses share their experience and analyze the reasons for building their further careers outside the Institute. They discuss the variants of advanced technologies development in Russia and the causes of insufficient demand for domestic science results in real economy.

Keywords: Institute of Control Sciences RAS, science-intensive solutions, closing technologies.

Адрес редакции: 117997, Москва, Профсоюзная ул., д. 65, оф. 360
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E-mail: info@avtprom.ru или avtprom@ipu.ru

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