Browsing by Author "Khayyer, Pardis"

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    Optimum Adaptive Piecewise Linearization: An Estimation Approach in Wind Power
    (IEEE, 2016-06) Vaezi, Masoud; Khayyer, Pardis; Izadian, Afshin; Electrical and Computer Engineering, School of Engineering and Technology
    This paper introduces an effective piecewise linearization technique to obtain an estimation of nonlinear models when their input-output domains include multidimensional operating points. The algorithm of a forward adaptive approach is introduced to identify the effective operating points for model linearization and adjust their domains for the maximum coverage and the minimum model linearization error. The technique obtains a minimum number of linearized models and the continuity of their domains. The algorithm also yields global minimum model linearization error. The introduced algorithm is formulated for a wind power transfer system for a 2-D set of input domains. The linearization error can be arbitrarily minimized in exchange for a higher number of models. The results demonstrate a significant improvement in the linearization of nonlinear models.
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    Sliding Mode Extremum Seeking Control for Maximum Power Point Tracking in Wind System
    (IEEE, 2016-02) Shen, Dan; Khayyer, Pardis; Izadian, Afshin; Department of Engineering Technology, School of Engineering and Technology
    This paper proposes a sliding mode extremum seeking control (SM-ESC) for maximum power point tracking (MPPT) in variable speed wind energy conversion system, which includes the permanent magnet synchronous generator (PMSG), the uncontrolled rectifier, boost converter, battery and the DC constant power load (CPL). The presented MPPT control method integrates the theory of sliding mode control and the extremum seeking control. It refrains from some disadvantages in traditional wind MPPT methods, such as detecting the gradient of output power vs. rotor speed, longer transient response, high frequency noise and larger oscillations of output power. The specific working principle and adaptive step size setting of the MPPT controller are also analyzed based on the SM-ESC algorithm. Numerical simulation results demonstrate accurate operation and robustness of the MPPT algorithm in each operating condition.