Szerző szerinti böngészés "Tarca, Radu Catalin"

Megjelenítve 1 - 3 (Összesen 3)
  • Nincs kép
    TételSzabadon hozzáférhető
    Determination of the Calibration Equation for FBG Temperature Sensors
    (2021-12-30) Moldovan, Ovidiu Gheorghe; Moldovan, Alin Octavian; Tarca, Radu Catalin; Craciun, Dan
    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.
  • Nincs kép
    TételSzabadon hozzáférhető
    PID Controller Tuning Optimization with Genetic Algorithms for a Quadcopter
    (2018-04-20) Khuwaja, Komal; Lighari, Noor-u-Zaman; Tarca, Ioan Constantin; Tarca, Radu Catalin
    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.
  • Nincs kép
    TételSzabadon hozzáférhető
    PID Controller Tuning Optimization with Genetic Algorithms for a Quadcopter
    (DUPress, 2018-04-06) Khuwaja, Komal; Tarca, Ioan Constantin; Lighari, Noor-u-Zaman; Tarca, Radu Catalin
    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.