电气传动2019，Vol.49Issue(9)：35-40,6.DOI:10.19457/j.1001-2095.dqcd18805
基于模糊类神经网络的双轴伺服电机运动控制
Motion Control of Dual Axis Servo Motor Based on Fuzzy Neural Network
摘要
Abstract
To eliminate the relative velocity error of the synchronous motion for the dual axis linear servo motor, the fuzzy neural network controller was proposed to replace the traditional cross coupling controller of proportional-integral-differential. Firstly,the dual axis linear servo motor system was built. Then two fuzzy neural network speed controllers were used to provide the required control action,which kept synchronous motion and tracked speed command of a dual axis linear servo motor. The simulation shows that the relative speed error of the two motors is almost zero after 0.4 s and 0.5 s under unloaded and loaded condition by the proposed control method,respectively. In addition,the adaptable speed range is wide and the load interference is highly robust for the proposed method.关键词
模糊类神经网络/交叉耦合控制器/速度控制器/双轴线性伺服/同步运动控制/鲁棒性Key words
fuzzy neural network/cross coupling controller/speed controller/dual axis linear servo/synchronous motion control/robustness分类
信息技术与安全科学引用本文复制引用
马超,贾纯纯..基于模糊类神经网络的双轴伺服电机运动控制[J].电气传动,2019,49(9):35-40,6.基金项目
河南省教育厅自然科学研究项目(17A150040) （17A150040）
