Department of Electrical and Computer Engineering, COMSATS University Islamabad, Abbottabad Campus, Abbottabad, Pakistan.
Department of Electrical and Computer Engineering, COMSATS University Islamabad, Islamabad, Pakistan.
PLoS One. 2021 Apr 8;16(4):e0249705. doi: 10.1371/journal.pone.0249705. eCollection 2021.
The energy demand in the world has increased rapidly in the last few decades. This demand is arising the need for alternative energy resources. Solar energy is the most eminent energy resource which is completely free from pollution and fuel. However, the problem occurs when it comes to efficiency under different atmospheric conditions such as varying temperature and solar irradiance. To achieve its maximum efficiency, an algorithm of maximum power point tracking (MPPT) is needed to fetch maximum power from the photovoltaic (PV) system. In this article, a nonlinear backstepping terminal sliding mode control (BTSMC) is proposed for maximum power extraction. The system is finite-time stable and its stability is validated through the Lyapunov function. A DC-DC buck-boost converter is used to deliver PV power to the load. For the proposed controller, reference voltages are generated by a radial basis function neural network (RBF NN). The proposed controller performance is tested using the MATLAB/Simulink tool. Furthermore, the controller performance is compared with the perturb and observe (P&O) MPPT algorithm, Proportional Integral Derivative (PID) controller and backstepping MPPT nonlinear controller. The results validate that the proposed controller offers better tracking and fast convergence in finite time under rapidly varying conditions of the environment.
在过去的几十年中，世界能源需求迅速增长。这种需求引发了对替代能源资源的需求。太阳能是最突出的能源资源，完全无污染且无燃料。然而，当涉及到不同大气条件下（如温度和太阳辐照度变化）的效率时，就会出现问题。为了实现其最大效率，需要最大功率点跟踪（MPPT）算法从光伏（PV）系统中获取最大功率。本文提出了一种用于最大功率提取的非线性反步终端滑模控制（BTSMC）。该系统是有限时间稳定的，并通过李雅普诺夫函数验证了其稳定性。直流-直流降压-升压转换器用于将光伏功率输送到负载。对于所提出的控制器，参考电压由径向基函数神经网络（RBF NN）生成。使用 MATLAB/Simulink 工具测试了所提出的控制器性能。此外，将控制器性能与扰动量和观测器（P&O）MPPT 算法、比例积分微分（PID）控制器和反步 MPPT 非线性控制器进行了比较。结果验证了在环境快速变化的条件下，所提出的控制器在有限时间内提供更好的跟踪和快速收敛。
