基于RBF神经网络的非线性反步积分滑模MPPT控制  

Nonlinear Backstepping Integral Sliding Mode MPPT Control Based on RBF Neural Network

作　　者：任志玲[1] 毛奕栋 REN Zhiling;MAO Yidong(Faculty of Electrical and Control Engineering,Liaoning Technical University,Huludao 125105)

机构地区：[1]辽宁工程技术大学电气与控制工程学院,葫芦岛125105

出　　处：《电气工程学报》2025年第1期361-368,共8页Journal of Electrical Engineering

基　　金：辽宁省教育厅科研(LJKZ0332);辽宁省高等学校国(境)外培养(2019GJWZD002)资助项目。

摘　　要：针对最大功率点跟踪(Maximum power point tracking, MPPT)算法中传统滑模控制存在收敛速度慢、抖振显著等不足,提出一种基于RBF神经网络的光伏系统非线性反步积分滑模(Nonlinear backstepping integral sliding mode control, NBISMC)最大功率点跟踪策略。首先,采用RBF神经网络对各种气象条件下的光伏电池输出电压进行预测;其次,设计非线性积分滑模面以改善传统滑模控制存在稳态误差及超调量大的问题;最后,设计新型指数趋近律,在加快收敛速度的同时有效削弱了系统高频抖振;通过Lyapunov函数分析非线性反步积分滑模控制的可达性与稳定性,并在静态、动态和遮光条件下进行仿真试验。仿真试验结果表明,在温度和光照强度发生变化的工况下,相比于传统滑模控制,基于RBF神经网络的非线性反步积分滑模控制能在各种气象条件下快速、准确地跟踪光伏系统最大功率点,具有较强的鲁棒性。Since the drawbacks of conventional sliding mode control in maximin power point tracking(MPPT),such as slow convergence speed and remarkable chattering,a nonlinear backstepping integral sliding mode MPPT control of PV system based on RBF neural network is proposed.Firstly,RBF neural network is used to predict the output voltage of photovoltaic cells under various conditions.Secondly,a nonlinear integral sliding mode surface is designed to improve the steady-state error and the problems of large overshoot.Finally,a new exponential approach law is designed to accelerate the convergence speed while effectively weakening the high-frequency chattering of the system.The reachability and stability of the nonlinear backstepping integral sliding mode control are analyzed by Lyapunov functions,the simulation experiments are conducted under static,dynamic and shading conditions.The simulation test results show that under the working conditions where the temperature and irradiation change,the nonlinear backstepping integral sliding mode control based on RBF neural network can track the maximum power point of the photovoltaic system quickly and accurately under various meteorological conditions compared with the traditional sliding mode control,and has strong robustness.

关 键 词：最大功率点跟踪 非线性积分滑模 新型指数趋近律 抖振 

分 类 号：TP273[自动化与计算机技术—检测技术与自动化装置]