自整定模糊控制器在风力发电机组中的应用  

Application of self-adjusting fuzzy controller for wind turbine

作　　者：姚兴佳[1] 张雅楠[1] 郭庆鼎[1] 

机构地区：[1]沈阳工业大学风能技术研究所,辽宁沈阳110023

出　　处：《可再生能源》2009年第6期16-19,共4页Renewable Energy Resources

摘　　要：风力发电机组参数的时变性、非线性,输入风速的随机性,造成输出电能质量较差。为改善系统输出功率的动态性能和稳态性能,运用自整定模糊控制器与二元函数的分片双二次Lagrange插值算法相结合的控制算法,并详细分析了该算法实现过程的时效性和控制性能。自整定用指数形式的修正函数来表示,根据控制对象的具体情况和要求,用计算机键盘对该函数中的参数进行调试,参数确定后形成以偏差为自变量的修正函数。运用SIMULINK的仿真结果表明,自整定模糊控制器和Lagrange插值法相结合的控制算法在风力发电机组中的应用,显著地改善了系统的控制品质和稳态性能。The wind turbine has characteristics that its parameters are time-variation and nonlinear, while wind speed is transient. A control algorithm combining the self-adjusting fuzzy controller and the slicing binary function Lagrange interpolating algorithm was discussed. The algorithm is proposed to improve the power-output quality of the wind turbine. The realization process and control characteristics are discussed and analyzed in detail. The self-adjusting function is an index function. According to concrete situation and requests, the parameters in the self-adjusting function can be adjusted through the computer keyboard. The burst double Lagrange algorithm is adopted to ensure the time effectiveness of the control system. Simulation that the control quality and steady-state quality are greatly improved.

关 键 词：风力机 模糊控制器 Lagrange插值法 SIMULINK 

分 类 号：TM571[电气工程—电器] TK89[动力工程及工程热物理—流体机械及工程]