【摘要】 针对电网中链式静态同步补偿器(STATCOM)系统的非线性特性和不确定性,提出了一种基于高增益自适应观测器的链式STATCOM反步控制方法.针对STATCOM的输出电流值的估计,设计了一种基于神经网络高增益观测器,通过引入径向基函数(RBF)神经网络,对模型参数变化进行估计,通过反馈设计,对系统进行线性化处理,利用反步法实现电压控制器设计.结合李雅普诺夫的渐近稳定性理论,获得链式STATCOM输出无功电流的控制.仿真和实验结果进一步验证了控制方法的正确性和有效性.更多还原

【Abstract】 Aiming at the nonlinearity and uncertainty of the cascaded static synchronous compensator(STATCOM) system in power grid,a cascaded STATCOM backstepping control method was proposed based on a high gain adaptive observer.In order to estimate the output current value of STATCOM,an adaptive observer was designed based on neural network.The uncertain disturbance was estimated by introducing radial basis function(RBF) neural network.Through feedback design,the system was linearized.The back-stepping method was used to design the voltage controller.Based on Lyapunov’s asymptotic stability theory,the output reactive current control of cascaded STATCOM was obtained. The simulation and experimental results further verify the correctness and effectiveness of the proposed control method.更多还原