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Comparison of Sliding Mode Control and Fuzzy Logic control applied to Variable Speed Wind Energy Conversion Systems

机译:滑模控制与模糊逻辑控制在变速风能转换系统中的比较

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wind energy features prominently as a supplementary energy booster. It does not pollute and is inexhaustible. However, its high cost is a major constraint, especially on the less windy sites. The purpose of wind energy systems is to maximize energy efficiency, and extract maximum power from the wind speed. In This case, the MPPT control becomes important. To realize this control, strategy conventional Proportional and Integral (PI) controller is usually used. However, this strategy cannot achieve better performance. This paper proposes other control methods of a turbine which optimizes its production such as fuzzy logic, sliding mode control. These methods improve the quality and energy efficiency. The proposed Sliding Mode Control (SMC) strategy and the fuzzy controllers have presented attractive features such as robustness to parametric uncertainties of the turbine, simplicity of its design and good performances. The simulation result under MatlabSimulink has validated the performance of the proposed MPPT strategies.
机译:风能作为辅助能源的助推器而突出。它不会污染,并且取之不尽。但是,它的高成本是主要的限制因素,尤其是在风少的地方。风能系统的目的是使能效最大化,并从风速中获取最大功率。在这种情况下,MPPT控制变得很重要。为了实现这种控制,通常使用策略常规的比例和积分(PI)控制器。但是,此策略无法获得更好的性能。本文提出了优化其生产的涡轮机的其他控制方法,例如模糊逻辑,滑模控制。这些方法提高了质量和能源效率。所提出的滑模控制(SMC)策略和模糊控制器具有吸引人的功能,例如对涡轮机参数不确定性的鲁棒性,设计的简单性和良好的性能。 Matlab Simulink下的仿真结果验证了所提出的MPPT策略的性能。

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