Preprint Article Version 1 This version is not peer-reviewed

Using Recurrent Procedures in Adaptive control System for Identify the Model Parameters of the Moving Vessel on the Cross Slipway

Version 1 : Received: 4 November 2018 / Approved: 15 November 2018 / Online: 15 November 2018 (15:47:00 CET)

A peer-reviewed article of this Preprint also exists.

Rudakova, H.; Polyvoda, O.; Omelchuk, A. Using Recurrent Procedures in Adaptive Control System for Identify the Model Parameters of the Moving Vessel on the Cross Slipway. Data 2018, 3, 60. Rudakova, H.; Polyvoda, O.; Omelchuk, A. Using Recurrent Procedures in Adaptive Control System for Identify the Model Parameters of the Moving Vessel on the Cross Slipway. Data 2018, 3, 60.

Journal reference: Data 2018, 3, 60
DOI: 10.3390/data3040060

Abstract

The article analyzes the problems connected with ensuring the coordinated operation of slipway drives that arise during the launch of a ship. The dynamic model of load of the electric drive of the ship's cart is obtained taking into account the peculiarities of the construction of the ship-lifting complex, which allows to analyze the influence of external factors and random influences during the entire process of launching the ship. A linearized mathematical model of the dynamics of a complex vessel movement in the process of descent in the space of states is developed, which allows to identify the mode of operation of the multi-drive system, taking into account its structure. The analysis of efficiency of application of recurrent methods of identification (stochastic approximation and least squares) of the parameters of the linearized model in the space of states is carried out. A decision support system has been developed in the automated system of operational control by the module for estimating the situation and the control synthesis to ensure a coherent motion of a complex ship-carts object in a two-phase environment.

Subject Areas

slipway; adaptive control system; the method of least squares; procedure periodic; parameter estimation; large-sized object; a recurrent algorithm; the identification procedure

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