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• Aspects Regarding Fly Control of Quadcopter

  1-5.

  Endrowednes Kuantama

  Ioan Tarca

  Radu Tarca

  Dan Craciun

  Views:

  198

  Quadcopter is one of Unmanned Aerial Vehicle (UAV) which has two pairs of identical fixed pitched rotor propellers. It can fly autonomously based on pre-programmed flight or manually controlled by a remote, and every movement achieved by varying the speed of each rotor independently. The orientation of quadcopter axes relative to a reference line and its direction of motion are known as attitude. Fly control factors are affected by attitude determination which can be calculated from 3 possible angles using combined measurement. Gyroscope and accelerometer are primary sensors to control quadcopter attitude, but magnetometer sensor and GPS also used to enhance the stability during flight. This paper will focus on details of function and mathematical formula of every factor regarding fly control and comparative data of 2 types of orientation sensor used in this system.

• PID Controller Tuning Optimization with Genetic Algorithms for a Quadcopter

  1-7.

  Komal Khuwaja

  Noor-u-Zaman Lighari

  Ioan Constantin Tarca

  Radu Catalin Tarca

  Views:

  768

  This paper is focused on the dynamic of mathematical modeling, stability, nonlinear gain control by using Genetic algorithm, utilizing MATLAB tool of a quadcopter. Previously many researchers have been work on several linear controllers such as LQ method; sliding mode and classical PID are used to stabilize the Linear Model. Quadcopter has a nonlinear dynamics and unstable system. In order to maintain their stability, we use nonlinear gain controllers; classical PID controller provides linear gain controller rather than nonlinear gain controller; here we are using modified PID control to improve stability and accuracy. The stability is the state of being resistant to any change. The task is to maintain the quadcopter stability by improving the performance of a PID controller in
  term of time domain specification. The goal of PID controller design is to determine a set of gains: Kp, Ki, and Kd, so as to improve the transient response and steady state response of a system as: by reducing the overshoot; by shortening the settling time; by decrease the rise time of the system. Modified PID is the combination of classical PID in addition to Genetic Algorithm. Genetic algorithm consists of three steps: selection, crossover, and mutation. By using Genetic algorithm we correct the behavior of quadcopter.

• Augmented Reality in Error Troubleshooting Inside Flexible Manufacturing Cells

  1-3.

  Lehel Csokmai

  Radu Tarca

  Moldovan Ovidiu

  Views:

  86

  A new type of software framework for error troubleshooting in flexible manufacturing systems using a frame marker device. Our framework system meant to resolve the failures originated from the human-machine interface and to generate self-training from previous experience.

• Hard Iron Distortion Compensation for 3 Axis Magnetometer

  1-4.

  Cornea George Mihai

  Nilgesz Arnold

  Birouas Ionut Flaviu

  Tarca Radu

  Views:

  105

  This paper presents the way how the hard iron effect could be compensated and a way to implement it on a small power device such as a microcontroller. Because of the magnetized materials that can stay near a magnetometer sensor and because of the very small magnetic field of the Earth, before the use of the measured values from a magnetometer to determine the heading (angle with the N direction) of the sensor a compensation is needed.

• Determination of the Calibration Equation for FBG Temperature Sensors

  1-6

  Ovidiu Gheorghe Moldovan

  Alin Octavian Moldovan

  Radu Catalin Tarca

  Dan Craciun

  Views:

  197

  This paper presents a brief introduction to FBG sensor technology and its applications. Then the procedure for determining the sensor calibration equations is presented. These equations are determined for each individual sensor and are necessary to perform the trans-oceanographic measurement of the FBG sensor's wavelength variation in the measured parameter.