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• Adaptive Backstepping Controller of PMLSM

  1-6.

  Maamar Yahiaoui

  I. Kh. Bousserhane

  Y. Saidi

  M. Serraoui

  Views:

  252

  In this paper, a nonlinear adaptive speed controller for permanent magnet linear synchronous motors based on a newly developed adaptive recursive Backstepping control approach for a permanent magnet synchronous motor drive is discussed and analyzed. The Backstepping technique provides a systematic method to address this type of problem. It combines the notion of Lyapunov function and a controller procedure recursively.  The adaptive Backstepping control approach is utilized to obtain the robustness for mismatched parameter uncertainties. The overall stability of the system is shown using Lyapunov stability theorem. The simulation results clearly show that the proposed scheme can track the speed reference.

• Opportunities of Computer-aided Building Energy Consumption Design

  1-5.

  Emese Sarvajcz-Bánóczy

  Péter Tamás Szemes

  Views:

  62

  Nowadays a significant part of energy is consumed in buildings. In order to reduce the energy consumption different retrofit technologies are applied. As every building and every energy consumer is different the same modernization technic can not be used for all buildings. This paper shows a computer aided opportunity which is able to simulate different modernization technic for the same building in order to the best opportunity can be selected. The paper highlights the advantages of computeraided building design and the opportunities of optimization techniques in a new under design building case. This paper also contains examples in order to introduce this modelling method.

• 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:

  644

  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.