Кафедра "Комп'ютерна інженерія та програмування"

Постійне посилання колекціїhttps://repository.kpi.kharkov.ua/handle/KhPI-Press/1095

Офіційний сайт кафедри https://web.kpi.kharkov.ua/cep

Від 26 листопада 2021 року кафедра має назву – "Комп’ютерна інженерія та програмування"; попередні назви – “Обчислювальна техніка та програмування”, “Електронні обчислювальні машини”, первісна назва – кафедра “Математичні та лічильно-вирішальні прилади та пристрої”.

Кафедра “Математичні та лічильно-вирішальні прилади та пристрої” заснована 1 вересня 1961 року. Організатором та її першим завідувачем був професор Віктор Георгійович Васильєв.

Кафедра входить до складу Навчально-наукового інституту комп'ютерних наук та інформаційних технологій Національного технічного університету "Харківський політехнічний інститут". Перший випуск – 24 інженери, підготовлених кафедрою, відбувся в 1964 році. З тих пір кафедрою підготовлено понад 4 тисячі фахівців, зокрема близько 500 для 50 країн світу.

У складі науково-педагогічного колективу кафедри працюють: 11 докторів технічних наук, 21 кандидат технічних наук, 1 – економічних, 1 – фізико-математичних, 1 – педагогічних, 1 доктор філософії; 9 співробітників мають звання професора, 14 – доцента, 2 – старшого наукового співробітника.

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  • Ескіз
    Документ
    Study of influence of quadrocopter design and settings on quality of its work during monitoring of ground objects
    (Національний технічний університет "Харківський політехнічний інститут", 2021) Maidanyk, Oleksandr; Meleshko, Yelyzaveta; Shymko, Serhii
    The subject of the article is methods of reducing quadcopter magnetometer crosstalk by changing the design and settings of the copter to improve the quality of its work during the monitoring of ground objects. The relevance of the development is determined by the need to increase the physical safety of quadcopters when monitoring ground facilities in various industries because the magnetometer is the most noise-sensitive sensor, and its failure leads to the fall and loss of the drone. The purpose of the article is to determine the optimal design and settings of the quadcopter in terms of its physical safety and quality of work during monitoring of ground facilities in various industries. The research task is to check whether it is possible to protect the magnetometer placed inside the drone body from the power cables crosstalk by grounding, shielding and changing the initial settings of the copter, namely by changing the value of the startup power factor of the motors. Research methods are as follows: theory of automatic control, methods of optimal control and hardware design methods. Conclusions. The role of the drone magnetometer in the monitoring of ground objects has been studied. The study has shown that copters at monitoring ground objects must be equipped with a magnetometer and GPS. The magnetometer is the most sensitive to interference of all sensors. If it does not work properly, the entire drone navigation system stops working. We have carried out experimental studies of the influence of quadcopter design and settings on the quality of its magnetometer work, and hence on work of the copter as a whole. In this paper it is proposed to place a magnetometer inside the body of the drone that will increase its physical safety and simplify the design of the drone, but at the same time it will increase the coupling from the power cables of motors, so it is necessary to choose effective methods of protection. It has been tested whether it is possible to protect the magnetometer from interference from power cables when placing it inside the drone body by grounding, shielding and changing the initial settings of the copter, namely by changing the value of the startup power factor of the motors. The results of the experiments showed that to protect against the interference for magnetometer placed inside the drone body, it is necessary to combine shielding of the magnetometer and decreasing of the startup power factor of the motors.
  • Ескіз
    Документ
    Increase the aviation efficiency of UAVs using artificial neural networks
    (NTU "KhPI", 2017) Kurdi, Saadi T.; Reja, Ahmed Hameed; Al-Ashmati, Akram Fathi Hussein
    Purpose. It is known that the flight of the UAV is conducted by sensors that transmit the performance of the UAV and on the basis of this information is controlled on the UAV and give themthe orders which are necessary to perform the task of flying UAV and normal these faults occur during the flight of unmanned air vehicle (UAV), according to the concepts of aviation is a very critical situation that affects the completion of the mission.These faults are mainly due to failure in the sensors,which canbe divided into. Flight Situation is about the flying situation of the aircraft, such as heading, altitude, airspeed, and vertical speed and angle of attack sensors. And Flight Control Situation, this is about the flight control surfaces such as (rudder, aileron, and elevator deflection), pitch attitude, and roll attitude sensors.This paper presents an effective technique to ensure that the sensors can operate with high efficiency. Methods. Two different approaches are used in this work.The first approach is Neural Network (NN) based tool for the modeling, simulation and analysis of aircraft (SFDIA), sensorsfailure, detection, and identification and accommodation problem.The second approachis Neural Network trained with the (EMRAN) algorithm swhich is a set of conditions that decide how the (EMRAN) structure should be adapted to better suit the training data. Results. The results from the modeling process and analysis of aircraft sensors showed that the neural network based tool (SFDIA) and the (EMRAN) algorithms are able to show high-resolution results in the behavior of sensors and hence in the (UAV) behavior. Conclusions. The capabilities of (SFDIA) are a consequence of the extensive modularity of the whole simulation tool. It allows an easy change of unmanned air vehicle (UAV), dynamics and feedback control law as well as Neural Network (NN) estimators and (SFDIA) scheme.
  • Ескіз
    Документ
    The numerical estimation method of a task success of UAV reconnaissance flight in mountainous battle condition
    (NTU "KhPI", 2017) Bayramov, Azad Agalar oğlu; Hashimov, Elshan Giyas oğlu
    The numerical estimation of performance of battle task in mountainous region by using Unmanned Aerial Vehicles (UAV) reconnaissance flight is very important for theatre-of-war planning of battle operations. In paper, the numerical estimation method of a task support success of UAV reconnaissance flight in mountainous battle conditionhas been offered and considered. This method is based on the probabilistic approach. The battle support (security) is activities complex realized for the purpose of creation of the favorable conditions for successful battle activities and enemy impact degradation for any conditions. The battle support includes reconnaissance, electronic warfare, tactical camouflage, engineering support, radiation-chemical and biological protection, aiming control and astrogeodetic support, hydro-meteorological support, protection. The minimum of permissible safety height of UAV flight by using geoinformation system (GIS) technology has been determined. Only the UAV tactic reconnaissance flight is considered in paper. For solution of this task, the various input parameters have been took into account: security events set of the troops, security events set of UAV reconnaissance flights, set of the UAV performance characteristics, set of UAV operating conditions, set of mountainous landscape characteristics. The calculations have been carried out for the specific conditions of one of the mountainous broken ground region of the Azerbaijan Republic.