PEMODELAN TRANSFORMASI DIRECT QUADRATUR (D-Q) PADA KENDALI KECEPATAN MOTOR INDUKSI 3 FASA DENGAN METODE VECTOR CONTROL

The application of the 3 phase induction motor is increasingly developing, this has led to research on speed regulation of 3 phase induction motors is also growing, because the use in industry and especially in hybrid vehicles is increasingly being developed. However, there are several disadvantages of an induction motor, one of which is the non-linear parameter characteristics, especially the rotor resistance, which varies in value for different operating conditions, so that it cannot maintain its speed constantly when a load changes. Therefore, to get constant speed and better system performance against load changes, a controller is needed. This study aims to implement the vector control method in the 3 phase induction motor speed control application in following the reference speed. In vector modeling, the 3 phase parameters (ia, ib and ic) will be transformed into direct quadrature (dq) parameters where in this parameter the setting of the field size and torque can be adjusted separately. In the implementation results, it can be seen that the use of vector control can be used as an approach in regulating the speed of an induction motor.

Cognitive Modeling of the Cyber Attack Vector Based on CAPEC Methods

Purpose: automation of complex attack vector modeling based on formalized CAPEC meta-pattern based on fuzzy cognitive maps. Methods: modeling a tool in the form of a graph with a further form of development in the form of a hierarchical fuzzy cognitive map for analysis using the potential level of detail and quantitative assessment of cybersecurity risks. Practical relevance: a scenario approach to modeling complex multistep targeted cyberattacks is proposed based on the draft Methodology for modeling security threats of the FSTEC of Russia and the base of meta- pattern for attacks CAPEC. The algorithm for “folding” a detailed fuzzy cognitive map of the attack vector is shown using the example of the threat of interception of control of an automated process control system of an oil company with an assessment of the probability of implementation, considering the severity level of exploited vulnerabilities. The main software modules of the system have been developed. Computational experiments were carried out to assess the effectiveness of its application. It is shown that as a result of analyzing the vector of cyberattacks in a fuzzy cognitive basis, an expert can rank possible scenarios of implementation, considering the vulnerabilities used, assess the level of danger of the implementation of each scenario separately and cyberattacks as a whole.