摘要
建立了带钢纠偏电液伺服系统的数学模型,针对电液伺服系统存在参数不确定性、复杂非线性等特点,提出了自适应滑模控制方法,并利用神经网络的万能逼近特性进行参数逼近.通过Lyapunov稳定性分析,设计了参数自适应律和相应的控制器,通过Matlab对系统特性进行仿真分析.仿真结果表明,该控制算法能进行有效的参数估计,具有较好的跟踪响应和较强的鲁棒性,取得较满意的控制特性.
Mathematic model of electro-hydraulic servo system of deviation-correcting of strip is built.An adaptive sliding mode control strategy is proposed for electro-hydraulic servo system with uncertain parameters and complex nonlinearity.Parameter approximation is realized based on neutral network.Parameter adaptive law and corresponding controller are designed on the basis of analysis of Lyapunov stability.Simulation analysis of system performance is finished with Matlab.The simulation results show that control algorithm improves system control performance quality and has high tracking response,good robustness and engineering practicability.An effective parameter estimation is realized by the method.
作者
菅光霄
张新宇
王龙
姜宇
JIAN Guangxiao , ZHANG Xinyu , WANG Long, JIANG Yu(School of Mechanical Engineering and Automation, University of Science and Technology Liaoning, Anshan 114051, Liaoning, Chin)
出处
《中国工程机械学报》
北大核心
2017年第5期406-408,414,共4页
Chinese Journal of Construction Machinery
基金
辽宁科技大学大学生创新资助项目(201610146019)(DC2016140)
关键词
电液伺服系统
神经网络
自适应滑模控制
自适应律
electro-hydraulic servo system
neutral network
adaptive sliding mode control
adaptive law
