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  • Modeling and visualization of pipe bending trajectories using a MEMS sensor

    In this paper, we propose modeling and visualization of the pipe movement trajectories in a pipe bending machine. Mathematical equations for converting quaternion data to Euler angular data are presented. The paper uses the method of double integration on the acceleration data from the IMU-9250 MEMS sensor to obtain realistic speed and location. The program is implemented in the MATLAB environment for visualization of pipe trajectories in 3D representation.

    Keywords: the trajectory of the object, the device of inertial measurement, MEMS

  • Modelling and control for quadrocopter based on fuzzy logic controller

    Currently, the drone is used in many situations where a manned flight is considered difficult, too risky, or in some cases impossible. In recent years, drones (drones) have become very popular due to their ease of use and their versatility. The urgency of the task of synthesis of control systems for unmanned aerial vehicles is characterized by the complexity of their mathematical model and a large number of experimentally determined parameters. This article proposes a methodology for designing a model of a regulatory system with a fuzzy logical controller. The results of simulation of a system with a fuzzy logic controller are presented.

    Keywords: quadrotor, UAV, fuzzy-logical control, dynamics, roll, pitch, Yaw