Sami Irfan, Ullah Shafaat, Ullah Nasim, Ro Jong-Suk
School of Electrical and Electronics Engineering, Chung-Ang University, Dongjak-gu, Seoul, 06974, South Korea.
Department of Electrical and Computer Engineering ,COMSATS University Islamabad, Abbottabad Campus, Abbottabad 22060, Pakistan; Department of Electrical Engineering, University of Engineering and Technology, Peshawar, Bannu Campus, Bannu 28100, Pakistan.
ISA Trans. 2021 May;111:275-289. doi: 10.1016/j.isatra.2020.11.001. Epub 2020 Nov 3.
A high-performance control system is essential to transfer maximum power from wind power generation system (WPGS) to the utility grid. In this paper, a fuzzy fractional-order terminal sliding mode control (Fuzzy-FOSMC) is presented based on the boundary layer approach. This boundary layer approach leads to the trade-off between chattering elimination and control performances. Initially a fractional order terminal sliding mode control (FOTSMC) is designed in this paper. Then, the reaching control part of the FOTSMC is replaced by a fuzzy system that eliminates the chattering even in the presence of lumped parametric uncertainties. The fuzzy control part is designed such that:(a) it maintains the stability of the system by introducing a non-linear slope inside the thin boundary layer near the sliding surface, and (b) it eliminates the chattering by acting like a saturation function. A novel wind speed estimation technique is also proposed in this paper based on Gaussian process regression (GPR). The inputs to the GPR framework are selected as the wind turbine power and its rotational speed. The superior performance of the proposed wind speed estimation technique is verified using error comparison with pre-existing techniques. The stability of the proposed GPR-based Fuzzy-FOSMC control paradigm is ensured by using the Lyapunov stability theorem. The proposed paradigm is compared with benchmark sliding mode control (SMC) and FOTSMC strategies. The proposed Fuzzy-FOSMC performance in terms of chattering elimination and stability is validated under normal conditions and lumped parametric uncertainties using extensive simulations in Matlab/SIMULINK and processor in the loop based experimental workbench.
一个高性能的控制系统对于将风力发电系统（WPGS）的最大功率传输到公用电网至关重要。本文基于边界层方法提出了一种模糊分数阶终端滑模控制（Fuzzy-FOSMC）。这种边界层方法导致了在消除抖振和控制性能之间的权衡。本文首先设计了一种分数阶终端滑模控制（FOTSMC）。然后，用一个模糊系统取代FOTSMC的到达控制部分，该模糊系统即使在存在集总参数不确定性的情况下也能消除抖振。模糊控制部分的设计使得：（a）通过在滑模面附近的薄边界层内引入非线性斜率来维持系统的稳定性，以及（b）通过像饱和函数一样起作用来消除抖振。本文还基于高斯过程回归（GPR）提出了一种新颖的风速估计技术。GPR框架的输入被选为风力涡轮机功率及其转速。通过与现有技术进行误差比较，验证了所提出的风速估计技术的优越性能。利用李雅普诺夫稳定性定理确保了所提出的基于GPR的Fuzzy-FOSMC控制范式的稳定性。将所提出的范式与基准滑模控制（SMC）和FOTSMC策略进行了比较。在Matlab/SIMULINK中进行了广泛的仿真，并在基于处理器在环的实验工作台上，在正常条件和集总参数不确定性下，验证了所提出的Fuzzy-FOSMC在消除抖振和稳定性方面的性能。
