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  • Author: Zdzisław Gosiewski x
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Open access

Zdzisław Gosiewski and Andrzej Koszewnik

The influence of the piezoelements placement on the active vibration damping of smart truss

Vibrations control in truss structures reaches a great practical interest, mainly in modern structures of huge space vehicles and aircrafts. Two demands essences are required in design of such structures. The first is the excellent dynamic behavior, in order to guarantee the stability of the structure and high precision pointing. The second is the necessity to obtain light structures, in order to reduce the cost. However, these two requirements are often contradictory, because light structures have low degrees of internal damping, which hinders the accuracy requirements.

These difficulties can be overcome by applying recently developed advanced materials, as for instance piezoelectric materials. Several researchers have proved that piezoelectric material can effectively counteract the vibrations. Appropriate assurance active damping of these vibrations can be achieved by optimal location of the piezo elements in the structure.

Open access

Sławomir Romaniuk and Zdzisław Gosiewski

Abstract

This paper presents Kalman filter design which has been programmed and evaluated in dedicated STM32 platform. The main aim of the work performed was to achieve proper estimation of attitude and position signals which could be further used in unmanned aeri-al vehicle autopilots. Inertial measurement unit and GPS receiver have been used as measurement devices in order to achieve needed raw sensor data. Results of Kalman filter estimation were recorded for signals measurements and compared with raw data. Position actualization frequency was increased from 1 Hz which is characteristic to GPS receivers, to values close to 50 Hz. Furthermore it is shown how Kalman filter deals with GPS accuracy decreases and magnetometer measurement noise.

Open access

Jakub Cieśluk and Zdzisław Gosiewski

Abstract

The investigations of systems which allow to avoid obstacles by the unmanned aerial vehicles (UAV) are presented in the paper. The systems are designed to enable the full autonomous UAV flight in unknown, dynamic environment. Presented solutions enable to real-time control of the image brightness, without significantly disturbing the objectivity of the vision system. Single board ADSP-BF537 computer with built-in CMOS camera was used in the experimental studies. The final stage of the task is to perform fully autonomous missions of flying object with the real obstacles on its trajectory.

Open access

Konrad K. Kwaśniewski and Zdzisław Gosiewski

Abstract

Nowadays many public and private institutions begin space studies projects. Among many problems to solve there is a planet exploration. Now rovers are controlled directly from the Earth, e.g. Opportunity. Missions must be planned on the Earth using simulators. Much better will be when the mission planner could set the target area and work to do and the rover will perform it independently. The solution is to make it autonomous. Without need of external path planning the rover can cover a much longer distance. To make autonomous rovers real it is necessary to implement a target leaded obstacle avoidance algorithm. Solutions based on graph algorithms use a lot of computing power. The others use intelligent methods such as neural networks or fuzzy logic but their efficiency in a very complex environment is quite low. This work presents an obstacle avoidance algorithm which uses the genetic path finding algorithm. The actual version is based on the 2D map which is built by the robot and the 2nd degree B-spline is used for the path model. The performance in the most cases is high using only one processor thread. The GA can be also easily multithreaded. Another feature of the algorithm is that, due to the GA random nature, the chosen path can differ each time on the same map. The paper shows the results of the simulation tests. The maps have the various complexity levels. On every map one hundred tests were carried out. The algorithm brought the robot to the target successfully in the majority of runs.

Open access

Maciej Słowik, Daniel Ołdziej and Zdzisław Gosiewski

Abstract

In the paper the implementation process of commercial flight and navigational controller in own aircraft is shown. The process of autopilot integration were performed for the fixed-wing type of unmanned aerial vehicle designed in high-wing and pull configuration of the drive. The above equipment were integrated and proper software control algorithms were chosen. The correctness of chosen hardware and software solution were verified in ground tests and experimental flights. The PID controllers for longitude and latitude controller channels were selected. The proper deflections of control surfaces and stabilization of roll, pitch and yaw angles were tested. In the next stage operation of telecommunication link and flight stabilization were verified. In the last part of investigations the preliminary control gains and configuration parameters for roll angle control loop were chosen. This enable better behavior of UAV during turns. Also it affected other modes of flight such as loiter (circle around designated point) and auto mode where the plane executed a pre-programmed mission.

Open access

Sławomir Romaniuk, Zdzisław Gosiewski and Leszek Ambroziak

Abstract

In the paper implementation of a ground control station for UAV flight simulator is shown. The ground control station software is in cooperation with flight simulator, displaying various aircraft flight parameters. The software is programmed in C++ language and utilizes the windows forms for implementing graphical content. One of the main aims of the design of the application was to simplify the interface, simultaneously maintaining the functionality and the eligibility. A mission can be planned and monitored using the implemented map control supported by waypoint list.

Open access

Jakub Cieśluk, Zdzisław Gosiewski, Leszek Ambroziak and Sławomir Romaniuk

Abstract

The investigations of the system which allow to avoid obstacles by the unmanned aerial vehicles (UAV) are presented in the paper. The system is designed to enable the full autonomous UAV flight in an unknown environment. As an information source about obstacles digital camera was used. Developed algorithm uses the existing relations between the imaging system and the parameters read from the UAV autopilot. Synthesis of the proposed obstacle avoidance control law was oriented for computational simplicity. Presented algorithm was checked during simulation studies and in-flight tests.