基于T-S模糊控制器的光伏阵列最大功率点跟踪控制
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摘要
针对光伏发电系统的非线性、强耦合、不确定特性,采用一种基于T-S模糊模型的光伏发电系统局部线性建模方法,并根据建立的局部线性模型,采用并行分布补偿(PDC)控制策略设计了光伏局部线性子系统的T-S模糊控制器增益。通过局部线性子系统的加权求和得到全局非线性系统的T-S模糊模型和模糊控制器增益。基于MATLAB/SIMULINK建立了系统动态仿真模型,仿真结果表明所设计的T-S模糊控制器用于光伏最大功率点跟踪具有可行性,同时保证了系统最大功率点跟踪具有足够的稳态精度与跟踪速度。
Due to the nonlinear,strong coupling and uncertain characteristics of PV system,this paper establishes a local linear model for PV system based on T-S fuzzy model. According to the established local linear model,the T-S fuzzy controller gain of PV local linear subsystem is designed by using the parallel distributed compensation( PDC) control strategy. The T-S fuzzy model and fuzzy controller gain of the whole nonlinear system are obtained by the weighted sum of the local linear subsystem. The system dynamic simulation model based on MATLAB/SIMULINK is established. The simulation results show that the designed T-S fuzzy controller is feasible for PV maximum power point tracking. Its steady-state accuracy and tracking speed are enough to ensure the maximum power point tracking of the system.
Due to the nonlinear,strong coupling and uncertain characteristics of PV system,this paper establishes a local linear model for PV system based on T-S fuzzy model. According to the established local linear model,the T-S fuzzy controller gain of PV local linear subsystem is designed by using the parallel distributed compensation( PDC) control strategy. The T-S fuzzy model and fuzzy controller gain of the whole nonlinear system are obtained by the weighted sum of the local linear subsystem. The system dynamic simulation model based on MATLAB/SIMULINK is established. The simulation results show that the designed T-S fuzzy controller is feasible for PV maximum power point tracking. Its steady-state accuracy and tracking speed are enough to ensure the maximum power point tracking of the system.
引文
[1]肖建,赵涛. T-S模糊控制综述与展望[J].西南交通大学学报,2016,51(3):462-474.
[2]张顺.基于二型模糊模型的光伏系统MPPT控制[D].锦州:辽宁工业大学,2017.
[3]李若铭.基于T-S模糊模型的防空导弹控制系统设计[D].哈尔滨:哈尔滨工业大学,2016.
[4]A. Kumar,A. S. Vempati,L. Behera. T-S fuzzy model based Maximum Power Point Tracking control of photovoltaic system[C]. 2013 IEEE International Conference on Fuzzy Systems(FUZZ-IEEE),Hyderabad:2013:1-8.
[5]廖倩芳. II型T-S模糊建模与控制[D].上海:上海交通大学,2009.
[6]C. S. Chiu. T-S Fuzzy Maximum Power Point Tracking Control of Solar Power Generation Systems[J]. IEEE Transactions on Energy Conversion,2010,25(4):1123-1132.
[7]杨凤梅.连续时间T-S模糊系统的动态输出反馈控制器设计[D].南昌:南昌航空大学,2016.
[8]L. K. Letting,J. L. Munda,A. Hamam. Particle swarm optimized T-S fuzzy logic controller for maximum power point tracking in a photovoltaic system[C]. 2010 Conference Proceedings IPEC,Singapore:2010:89-94.
[9]M. Rakhshan,N. Vafamand,M. H. Khooban et al. Maximum Power Point Tracking Control of Photovoltaic Systems:A Polynomial Fuzzy Model-Based Approach[J]. IEEE Journal of Emerging and Selected Topics in Power Electronics,2018,6(1):292-299.
[10]赵涛.区间二型T-S模糊系统反馈控制研究[D].成都:西南交通大学,2015.
[11]A. Altamimi,Z. A. Khan. A DC-DC buck converter with maximum power point tracking implementation for photovoltaic module application[C]. 2017 IEEE Conference on Energy Conversion(CENCON),Kuala Lumpur:2017:305-310.
[12]张彪.基于T-S模型的区间二型随机模糊系统的分析和设计[D].杭州:杭州电子科技大学,2014.
[13]郭长兴.基于改进型的Boost电路光伏系统最大功率点跟踪研究[D].镇江:江苏科技大学,2017.
[14]D. F. Zaions,A. J. Balbino,C. L. Baratieri et al. Comparative analysis of buck and boost converters applied to different maximum power point tracking techniques for photovoltaic systems[C]. 2017 Brazilian Power Electronics Conference(COBEP),Juiz de Fora:2017:1-6.
[15]刘文涛.光伏发电系统最大功率点跟踪算法研究[D].合肥:安徽理工大学,2017.
[16]冷淼.光伏发电系统及其MPPT控制策略的研究[D].长春:长春工业大学,2017.
[17]周东宝.光伏发电系统改进型变步长MPPT控制研究[D].广州:华南理工大学,2016.
[18]李志刚,吴楠.二级倒立摆的T-S模糊控制器设计[J].华北理工大学学报(自然科学版),2017,39(4):82-87.
[19]李医民,杜一君.区间Type-2 T-S间接自适应模糊控制[J].控制理论与应用,2011,28(11):1558-1568.
[20]张晓倩,宋晓茹.基于T-S模糊控制器的网络控制系统仿真研究[J].计算技术与自动化,2017,36(2):37-40.
[2]张顺.基于二型模糊模型的光伏系统MPPT控制[D].锦州:辽宁工业大学,2017.
[3]李若铭.基于T-S模糊模型的防空导弹控制系统设计[D].哈尔滨:哈尔滨工业大学,2016.
[4]A. Kumar,A. S. Vempati,L. Behera. T-S fuzzy model based Maximum Power Point Tracking control of photovoltaic system[C]. 2013 IEEE International Conference on Fuzzy Systems(FUZZ-IEEE),Hyderabad:2013:1-8.
[5]廖倩芳. II型T-S模糊建模与控制[D].上海:上海交通大学,2009.
[6]C. S. Chiu. T-S Fuzzy Maximum Power Point Tracking Control of Solar Power Generation Systems[J]. IEEE Transactions on Energy Conversion,2010,25(4):1123-1132.
[7]杨凤梅.连续时间T-S模糊系统的动态输出反馈控制器设计[D].南昌:南昌航空大学,2016.
[8]L. K. Letting,J. L. Munda,A. Hamam. Particle swarm optimized T-S fuzzy logic controller for maximum power point tracking in a photovoltaic system[C]. 2010 Conference Proceedings IPEC,Singapore:2010:89-94.
[9]M. Rakhshan,N. Vafamand,M. H. Khooban et al. Maximum Power Point Tracking Control of Photovoltaic Systems:A Polynomial Fuzzy Model-Based Approach[J]. IEEE Journal of Emerging and Selected Topics in Power Electronics,2018,6(1):292-299.
[10]赵涛.区间二型T-S模糊系统反馈控制研究[D].成都:西南交通大学,2015.
[11]A. Altamimi,Z. A. Khan. A DC-DC buck converter with maximum power point tracking implementation for photovoltaic module application[C]. 2017 IEEE Conference on Energy Conversion(CENCON),Kuala Lumpur:2017:305-310.
[12]张彪.基于T-S模型的区间二型随机模糊系统的分析和设计[D].杭州:杭州电子科技大学,2014.
[13]郭长兴.基于改进型的Boost电路光伏系统最大功率点跟踪研究[D].镇江:江苏科技大学,2017.
[14]D. F. Zaions,A. J. Balbino,C. L. Baratieri et al. Comparative analysis of buck and boost converters applied to different maximum power point tracking techniques for photovoltaic systems[C]. 2017 Brazilian Power Electronics Conference(COBEP),Juiz de Fora:2017:1-6.
[15]刘文涛.光伏发电系统最大功率点跟踪算法研究[D].合肥:安徽理工大学,2017.
[16]冷淼.光伏发电系统及其MPPT控制策略的研究[D].长春:长春工业大学,2017.
[17]周东宝.光伏发电系统改进型变步长MPPT控制研究[D].广州:华南理工大学,2016.
[18]李志刚,吴楠.二级倒立摆的T-S模糊控制器设计[J].华北理工大学学报(自然科学版),2017,39(4):82-87.
[19]李医民,杜一君.区间Type-2 T-S间接自适应模糊控制[J].控制理论与应用,2011,28(11):1558-1568.
[20]张晓倩,宋晓茹.基于T-S模糊控制器的网络控制系统仿真研究[J].计算技术与自动化,2017,36(2):37-40.