Identification and tracking problems in qualimetry inspections in distributed control systems of drilling platforms

Abstract

The authors consider an issue of reliable and efficient performance of offshore drilling platforms. It was found that one of the reasons for degrading the factors under review was poor quality of the electric energy generated by a local power-constrained plant when operating for heavy energy converters as well as imperfection of the actuating system controlling quality factors. In order to develop new methods or upgrade known ones and ways of improving quality of performance of the systems under examination, it is required to solve the qualimetry problems. In its turn, this requires solving the problem of identification of the structure of this system and on-line monitoring of changes in its parameters and signals.The modern drilling platform's electric power systems are characterized by the presence in its composition of a great number of the load that has a negative impact on the supplying network of the alternating current, generating into it highest harmonic components of currents and voltages. A great deal of drilling platform's automation systems apply the line currents and voltages to form the reference signal.It is known that filter-compensating devices are the most efficient means to increase the quality of electric energy in the autonomous power supply systems at the moment. Their efficiency in higher harmonic suppression and compensation of their volt-ampere reactive may be provided only with the high accuracy of the calculation of parameters in the target harmonics of the line currents and voltages. And as harmonic composition periodically varies depending on the regime of operation and the composition of load of the electric power station, the settings of filtering devices should be changed constantly, that can be done by means of identification and on-line monitoring processes.The authors have proposed a candidate solution for such a problem through the example of identification and synthesis of the system of measuring system performance indicators required to appraise the electric power quality in this system and, as consequence, performance quality.Index Terms-Control systems, drilling platforms, electric power quality, identification and tracking.

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“…Setting the interval of updating the weight of the synapse allows one to monitor and change the frequency of weight updates. The mathematical LIF model has only one differential equation [1][2][3][4][5][6][7][8][9][10]:…”

“…A neuron of the spiking neural network, as well as a system of connections of spiking neurons-spiking neural networks (NS) were selected as the object of the research for the purpose of this paper. The reasons are as follows [6][7][8][9][10][11]…”

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