Using Recurrent Procedures in Adaptive Control System for Identify the Model Parameters of the Moving Vessel on the Cross Slipway
Hanna Rudakova,
Oksana Polyvoda and
Anton Omelchuk
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Hanna Rudakova: Engineering Cybernetics Department, Kherson National Technical University, Kherson 73008, Ukraine
Oksana Polyvoda: Engineering Cybernetics Department, Kherson National Technical University, Kherson 73008, Ukraine
Anton Omelchuk: Engineering Cybernetics Department, Kherson National Technical University, Kherson 73008, Ukraine
Data, 2018, vol. 3, issue 4, 1-21
Abstract:
The article analyses 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 us to analyse 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 us to identify the mode of operation of the multi-drive system, taking into account its structure. The analysis of application efficiency of recurrent methods for identification (stochastic approximation and least squares) of the linearized model parameters 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.
Keywords: the slipway; the adaptive control system; the least squares method; the periodic procedure; the parameters estimation; a large-sized object; a recurrent algorithm; the identification procedure (search for similar items in EconPapers)
JEL-codes: C8 C80 C81 C82 C83 (search for similar items in EconPapers)
Date: 2018
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Persistent link: https://EconPapers.repec.org/RePEc:gam:jdataj:v:3:y:2018:i:4:p:60-:d:188745
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