Elman Dynamic Neural Network Control for Direct-Drive Feed System in Advanced CNC Machine Tools
Permanent Magnet Linear Synchronous Motors (PMLSM) are gaining increasing interest as direct-drive actuator for CNC machine tools. However, the servo control system of PMLSM is multi-variable, non-linear and strong-coupled and sensitizes to various force disturbances. For high speed and high precision to CNC machine tools, Elman dynamic Neural Network(NN) is introduced and the compound controller of Proportional(P) controller and Elman NN is proposed based on on-line training. Elman NN is trained by P controller at the beginning of control process. Then, speed loop of PMLSM servo system is controlled by Elman NN. The work process of proposed compound controller is exposed and dynamic characteristic of Elman NN is proved. The simulation results show that the proposed control scheme not only has strong robustness to uncertainties of the linear servo system, but also has good tracking precision and disturbance rejection abilities.
permanent magnet linear synchronous motors Elman neural network CNC machine tools
ZUO Jian-min PAN Chao WANG Mu-lan SU Wei
School of Mechanical Engineering Jiangsu University Zhenjiang,China Jiangsu Key Laboratory of Advanced Numerical Control Technology Nanjing Institute of Technology Nanj
国际会议
长春
英文
307-310
2010-08-24（万方平台首次上网日期，不代表论文的发表时间）