摘要
针对变速变桨风力发电系统(WTGS)的非线性动态模型,采用Takagi-Sugneo(T-S)模糊建模理论处理其非线性,以得到高精度的线性形式控制设计模型.首先,提取代表WTGS变工况特性的外部参量作为变化参数,并理论抽象出一类仿射非线性参数变化(ANPV)模型,给出其齐次线性T-S模糊线性化步骤并得到线性参数变化(LPV)T-S模糊模型.然后,将上述方法应用于WTGS非线性动态模型的T-S模糊线性化.最后,针对WTGS的LPV T-S模糊模型对其非线性特性的逼近性能进行仿真验证.结果表明:通过改变T-S模糊模型前提变量输入空间的划分精度,可以有效调节LPV T-S模糊模型对WTGS非线性特性的逼近性能.
For the nonlinear dynamic model of wind turbine generation system （WTGS） with variable-speed variable-pitch （VSVP） techniques, the Takagi-Sugeno （T-S） fuzzy modeling theory was adopted to deal with its nonlinearity to obtain the control design model with high accuracy in linear form. Firstly, the ex- ternal variables representing the variable condition characteristics of WTGS were extracted as the varying parameters and a class of affine nonlinear parameter varying （ANPV） model was abstracted theoretically. Subsequently, a kind of homogeneous linear Takagi-Sugeno （T-S） fuzzy modeling procedure was applied on ANPV model and the linear parameter varying （LPV） T-S fuzzy model was obtained. Then, the nonlinear dynamic model of WTGS can be dealt with using above T-S fuzzy linearization approaches. Finally, simulations were conducted to demonstrate the approximation performance of the LPV T-S fuzzy model about the nonlinearity of WTGS. Results show that the approximation accuracy of LPV T-S fuzzy model to the nonlinearity of WTGS can be efficiently adjusted by changing the input space partitioning of the premise variables.
出处
《动力工程学报》
CAS
CSCD
北大核心
2015年第8期632-638,共7页
Journal of Chinese Society of Power Engineering
基金
国家自然科学基金重点资助项目(51036002)
中央高校基本科研业务费专项资金资助项目(13XS14)
智能电网中大规模新能源电力安全高效利用基础研究(2012CB215203)
关键词
风力发电
非线性过程
LPV系统
增益调度控制
wind power generation
nonlinear process
LPV system
gain scheduling control
