基于模糊神经网络的滑模控制算法

Algorithm of Sliding Mode Control Based on Fuzzy Neural Network

提出了一种基于模糊神经网络的积分滑模控制算法。该算法利用模糊神经网络系统来代替传统的等效控制项,消除了其对数学模型的依赖;切换控制项则采用积分型变切换增益,有效地削弱系统抖振。该算法以永磁同步电机伺服系统为对象进行仿真研究。仿真结果表明,该方法控制精度高,鲁棒性强,有效提高了系统的控制性能。

A fuzzy neural network equivalent controller independent of th integral sliding mode control approach was proposed . Aimed to make the e object＇ s accurate mathematic model, the equivalent controller was substituted by fuzzy neural network systems . In order to reduce chattering, variable controller adoptes a integral variable gain. It was used to control the position servo system of The PMSM. The simulation results show that the method has well tracking performance and robustness.