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基于ANFIS的交流永磁直线伺服系统智能滑模变结构控制

Intelligent Sliding-mode Variable-structure Control Based on ANFIS for an AC PM Linear Servo-system
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摘要 针对交流永磁直线伺服系统,提出一种基于自适应神经模糊推理系统 ANFIS 的智能滑模变结构控制方案。将 ANFIS 引入到传统滑模变结构控制中,以有效削弱滑模控制固有的抖振,消除永磁直线同步电动机的端部效应。仿真和实验结果表明:基于 ANFIS 的智能滑模变结构控制方法简单,有良好的动态性能,较好的鲁棒性。 A method of intelligent sliding-mode variable structure control (SMVSC) based on the ANFIS (adaptive neurctl-fuzzy inference system)for the AC permanent-magnetic linear servo-system is presented. The ANFIS is applied to the traditional SMVSC for making the inherent buffeting of sliding-mode control weakened effectively and hence the end effect of a PMLSM (permanent-mag- netic linear synchronous motor) can be eliminated. The simulation and experimental results show that the intelligent SMVSC based on ANFIS is a simple method for AC linear servo system with good dynamic performance and robustness.
出处 《矿山机械》 北大核心 2008年第6期56-59,共4页 Mining & Processing Equipment
关键词 永磁直线同步电动机 神经网络 模糊控制 ANFIS 滑模变结构控制 PMLSM, Neural network Fuzzy control ANFIS Sliding-mode variable-structurecontrol (SMVSC)
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