Estimation of bulky object motion parameters by means of the least squares method

Authors

  • G. V. Rudakova Kherson National Technical University
  • O. V. Polyvoda Kherson National Technical University
  • A. A. Omelchuk Kherson National Technical University

DOI:

https://doi.org/10.18372/1990-5548.49.11240

Keywords:

Adaptive control system, least squares method, operational control, parameters estimation, slipway, ship lifting complex, process of moving the vessel

Abstract

The article is dedicated to research of identification procedure efficiency of model parameterand a selection of optimal coefficients values that emerge during the launching and lifting ships. Solvingthe problems of operational control optimization of such shipbuilding equipment as a slipway ispresented

Author Biographies

G. V. Rudakova, Kherson National Technical University

Doctor of Engineering. Professor. Head of the Technical Cybernetics Department

O. V. Polyvoda, Kherson National Technical University

Candidate of Engineering. Associate Professor.Engineering Cybernetics Department

A. A. Omelchuk, Kherson National Technical University

Candidate of Engineering. Assistant. Engineering Cybernetics Department

References

A. A. Omelchuk, Yu. A. Lebedenko, and G. V. Rudakova, “Problems of coordination control complex electromechanical system”. Scientific works national university of food technologies. 2013, no. 49, pp. 19–23. (in Ukrainian)

A. A. Omelchuk, “Computer control ship raising complex type slip”. Problems of information technologes. 2015, no. 01(017), pp. 181–186. (in Ukrainian)

A. A. Omelchuk, “Optimization of operational control of the shipbuilding complex slipway-type.” Ph.D dissertation. Dept. Automation of Control Processes, Kherson National Technical University, 2015, 182 p. (in Ukrainian)

A. A. Omelchuk, G. V. Rudakova, and O. V. Polivoda, “Optimal control of the ship's motion at the cross slipway”. Odes'kyi Politechnichnyi Universytet. Pratsi. 2015, no. 3(47), pp. 75–84.

D. P. Kim, Automatic control. Theory Nonlinear and Multivariable System. Seol: Harnol, 2000, 558 p.

P. Eykhoff, System identification: parameter and state estimation. Chichester, England: Wiley, 1974, 555 p.

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Issue

Vol. 3 No. 49 (2016)

Section

AUTOMATIC CONTROL SYSTEMS

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