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    Dynamic compensation observer-based sliding mode stabilizer design for wind turbine generator
    (2006-12-01)
    Ngamroo, Issarachai
    This paper focuses on a design of power system stabilizer based on a sliding mode control for dynamic stability enhancement of a wind turbine generator supplying an infinite bus. It is well known that the sliding mode controller is established by a feedback of all state variables. Thus, it is not easy to implement in practical systems. Moreover, the difficulty of switching gain setting in a hyperplane design is an inevitable problem. To circumvent these problems, the dynamic compensation observer technique is applied. The salient feature of this technique is that only output information of the system can be used as a feedback signal of a controller. In addition, this technique provides a systematic approach to design a switching hyperplane based on designer's specifications, a robustness against system parameter variations as well as various loading conditions, and an enhancement of system dynamic performance against disturbances. Simulation studies show that the effectiveness of the proposed controller is superior to that of the variable structure controller proposed in the previous work. It is not only able to damp power system oscillations due to random wind gust disturbances, but also very robust against various loading conditions and variations of system parameters.
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    An adaptive fuzzy logic controller by sliding mode control method for DC/DC converter
    (2005-12-01)
    Khaehintung, Noppadol
    ;
    Kunakorn, Anatawat
    ;
    Aorpimai, Manop
    ;
    Sirisuk, Phaophak
    This paper presents the design of an adaptive fuzzy logic controller for DC/DC buck converters. The proposed controller uses a sliding mode control mechanism to improve the performance of a conventional buck converter. Despite of the nonlinear behavior of the converter, the performance of the closed-loop control system can be considerably improved compared to the results gained from other previously proposed schemes, such as the adaptive fuzzy logic controller by back propagation algorithm. This claim is obviously shown by the simulation and experimental results both in regulating and tracking modes. © 2005 IEEE.
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