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Publications (2)0 Total impact

  • M. Moradi, S. Abhari, F. Dehghan
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    ABSTRACT: In this paper, an adaptive fuzzy sliding mode control is designed to control the axis position of DC motor. Position and velocity of shaft are used for controlling performance. lyapunov equation is used to show stability of closed loop system. In fuzzy part, Takagi-Sugeno model is employed to produce input signal. To consider the efficiency of the controller, the proposed controller is compared with other methods. Numerical results show ability of controller to produce smooth input signal that results the position of shaft tracks the reference signal with minimum error.
    Advanced Computer Control (ICACC), 2011 3rd International Conference on; 02/2011
  • M. Moradi, A. Ahmadi, S. Abhari
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    ABSTRACT: This paper proposes the position control of DC motor. Two methods are used for position control, LQR method and feedback linearization. We show that these methods without load torque are stable, but, when load is added to the motor's shaft, LQR and feedback linearization can not make efficient input signal for reference tracking in output. To solve this problem, we combined these methods and will show by using combined method, the position of shaft tracks reference in presence of large torque. For validation of new controller, we compared response with LQR and feedback linearization. Simulation results show stable response of new method.
    Advanced Computer Control (ICACC), 2010 2nd International Conference on; 04/2010