Boris V. Pavlov

ASSOCIATIVE SEARCH MODELS IN INDUSTRIAL SYSTEMS

Abstract The paper presents process identification algorithms based on virtual models design using process data archives and knowledge bases. Associative search methods are used for identification algorithms development.

Algorithm to position an object moving in the low-frequency electromagnetic field

Consideration was given to the problem of relative positioning with the use of alternating magnetic field. The problem was shown to be solvable using a system of three magnetic dipoles emitting magnetic field at different frequencies. Ambiguity of its solution was discussed, and ways to resolve it were proposed. An algorithm for relative positioning based on the solution of this problem was proposed. Error equations of the positioning algorithm and the results of their analysis were presented. Some issues of practical application of this algorithm were discussed.

Development of Intelligent Identification Models and Their Applications to Predict the Submarine Dynamics by Use of Computer Simulation Complexes

Abstract A conception of constructing intelligent virtual analyzers as an implementation of the identification approach within control systems is presented, enabling one to develop and adjust prediction models in the most effective manner. Specifically, the paper presents an approach constructing identification models of a submarine by us the associative search applying the technological archives and knowledge base created by use of simulation complexes.

Fuzzy associative search procedure for process identification

Abstract The paper discusses smart soft sensor design methods for industrial processes. The approach proposed is based on virtual models and associative search techniques. Fuzzy model is applied in combination with production knowledgebase to compensate for the lack of lab data. Fuzzy specification of certain process variables is practiced.

Developing models and design methods for information management systems in space vehicles

We present a unified methodology, models, and design methods for optimal modular information control systems for a special class of objects, namely space vehicles. We develop methods and instruments for creating modular software and dataware for an onboard control unit on a space vehicle.

Associative Search Models in Power Grids

Abstract A technology for estimating the dynamics of power grids generating facilities participation in overall primary frequency regulation in contingencies is developed based on frequency and generating capacity time series. The paper discusses process identification algorithms based on virtual models design using process data archives and knowledge bases. Associative search methods are used for identification algorithms development.

Aeromagnetic Gradiometry and Its Application to Navigation

Modern methods of airborne magnetic field measurements are described. A stochastic algorithm to compensate the deviations between the indications of an aeromagnetometer and an aeromagnetic gradiometer is considered. An integration algorithm for the inertial and correlation-extremal navigation systems is briefly described. An advantage of using magnetic field gradient measurements as navigational data is justified. The performance of the integration algorithm is illustrated by numerical simulation.

On calibration of a navigation system equipped with a magnetic gradiometer

This paper shows how to calculate the magnetic field of an aircraft with the help of measurements taken by an on-board tensor magnetic gradiometer. We assume that the magnetic field of an aircraft obeys a simple linear model. The external magnetic field is modeled by Gauss-Markov processes. It is assumed that magnetic gradiometry measurements are collected during flight with significant angular maneuvers. Under these assumptions, our problem may be reformulated as a well-known linear estimation problem. After solution of the problem, one may execute the so-called compensation procedure, i.e., to filter out aircraft-dependent disturbances from on-board magnetic measurements. After such compensation, measurements of the on-board magnetic gradiometer may be used to correct INS errors.

Knowledge-based prediction in process control systems under limited measurement data

Abstract The paper offers identification algorithms enabling process parameters estimation under limited output samples and time-varying inputs. The algorithms are based on the associative search of analogs and wavelet-analysis of signals. The effectiveness of the techniques proposed is demonstrated with the example of product quality prediction in oil refining industry.

The models and structure of onboard measurements of three-dimensional physical fields

The airborne measurement systems of geophysical fields are considered. The applicability of such systems in navigation and geophysics is analyzed. The existing gravimetric, magnetometric and electromagnetic systems are briefly overviewed. The structure of the airborne measurement systems of geophysical fields and the associated mathematical models are discussed in detail. Finally, the issues of data processing are studied and the solution approaches to the ill-posed problems are described.