Dimitar Dichev

Prof. Dr. Dimitar Dichev


Research Focus & Metrics

Academic Career Length

13Years (2014-Present)

(Calculated once Scilit publication data is synced: current year − year of first publication + 1)

Representative Publications

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18 November 2021
Verified
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OKOleksandr Kupriyanov
Oleksandr Kupriyanov
RTRoman Trishch
Roman Trishch
DDDimitar Dichev
Dimitar Dichev
TBTetiana Bondarenko
Tetiana Bondarenko

1 August 2014 in Measurement Science Review
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Journal Article
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DDDimitar Dichev
Dimitar Dichev
HKH. Koev
H. Koev
TBT. Bakalova
T. Bakalova
Petr LoudaPetr Louda
Petr Louda
The present paper considers a new model for the formation of the dynamic error inertial component. It is very effective in the analysis and synthesis of measuring instruments positioned on moving objects and measuring their movement parameters. The block diagram developed within this paper is used as a basis for defining the mathematical model. The block diagram is based on the set-theoretic description of the measuring system, its input and output quantities and the process of dynamic error formation. The model reflects the specific nature of the formation of the dynamic error inertial component. In addition, the model submits to the logical interrelation and sequence of the physical processes that form it. The effectiveness, usefulness and advantages of the model proposed are rooted in the wide range of possibilities it provides in relation to the analysis and synthesis of those measuring instruments, the formulation of algorithms and optimization criteria, as well as the development of new intelligent measuring systems with improved accuracy characteristics in dynamic mode.


1 December 2016 in Metrology and Measurement Systems
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Journal Article
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DDDimitar Dichev
Dimitar Dichev
HKHristofor Koev
Hristofor Koev
TBTotka Bakalova
Totka Bakalova
Petr LoudaPetr Louda
Petr Louda
The paper considers an algorithm for increasing the accuracy of measuring systems operating on moving objects. The algorithm is based on the Kalman filter. It aims to provide a high measurement accuracy for the whole range of change of the measured quantity and the interference effects, as well as to eliminate the influence of a number of interference sources, each of which is of secondary importance but their total impact can cause a considerable distortion of the measuring signal. The algorithm is intended for gyro-free measuring systems. It is based on a model of the moving object dynamics. The mathematical model is developed in such a way that it enables to automatically adjust the algorithm parameters depending on the current state of measurement conditions. This makes possible to develop low-cost measuring systems with a high dynamic accuracy. The presented experimental results prove effectiveness of the proposed algorithm in terms of the dynamic accuracy of measuring systems of that type.

9 August 2024 in Sensors
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Journal Article
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DDDimitar Dichev
Dimitar Dichev
DDDimitar Diakov
Dimitar Diakov
DDDimitar I. Diakov
Dimitar I. Diakov
S. ValkovS. Valkov
S. Valkov
Maria OrmanovaMaria Ormanova
Maria Ormanova
OKOleksandr Kupriyanov
Oleksandr Kupriyanov
This paper presents a new method for correction of dynamic errors occurring when measuring flat surfaces in the presence of mechanical effects. Mechanical effects cause inertial forces and moments that affect the moving components of measuring instruments, thereby causing dynamic errors. The study proposes a mathematical model, on the basis of which algorithms for correction of dynamic errors can be developed. The basic concept of the model is based on determining the optimal estimate in the current coordinate point on the basis of the theoretical model of the measured surface and the information from the measurement that contains errors caused by internal and external factors. Based on this model, an algorithm for real-time data processing has been developed. The algorithm works in “predictor-corrector” mode at each step of which the best estimate is obtained. The estimate is based on minimizing the variance of a random component in which the main values are formed from the accumulated statistical data of the error of the model and the measurement error. This paper presents the results of experimental studies, carried out with simulations of mechanical effects in four modes. The results confirm the high efficiency of the algorithm for high-accuracy measurement of flat surfaces in the presence of mechanical effects.

1 February 2015 in Measurement Science Review
Verified
Journal Article
Open access
DDDimitar Dichev
Dimitar Dichev
HKHristofor Koev
Hristofor Koev
TBTotka Bakalova
Totka Bakalova
Petr LoudaPetr Louda
Petr Louda