神经网络滑模鲁棒控制器及其应用
THE NEURAL NETWORKS SLIDING MODE ROBUST CONTROLLER AND ITS APPLICATION
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摘要: 从提高系统的鲁棒性出发,提出一种基于神经网络的滑模面和滑模控制器,在证明滑模条件成立的基础上,采用了快速优化学习算法对其进行参数训练.经在永磁同步电动机调速系统中应用,表明本文提出的设计方法可满足系统要求.Abstract: This article proposes a sliding mode surface and a sliding mode controller based on the neural network concept to promote the robustness of systems.Parameter training is done with a fast optimizing algorithm after the reliability of sliding mode condition is tested.The application of this design in the permanent magnet synchronous motor speed regulator shows that it can meet the demands of the systems.