Application of Neural Network Sliding Controller in Ac Servo Systems

摘要：

Some ac position servo system possesses abominable load properties, i.e. largely changing moment of inertia and moment of imbalance. It’s difficult for traditional PID controller to achieve the satisfying effects. In order to realize high speed and high precisive position control of the ac servo system, aiming at uncertainties in actual system, a neural network sliding controller is put forward, which takes the advantages of excellences such as rapid response and consistence for parameters variation and foreign disturbance, and takes advantage of online learning function of neural network to eliminate chattering in sliding control to enhance steady performance of system. Simulation results indicate this controller can restrain disturbance effectively, decrease sensitivity of system to parameters variation, improve dynamic performance and steady precision markedly, fulfill the goal of rapid tracking. It has practical application value.

作者: CHAI Huawei Ma Dawei LI Zhigang

作者单位: Nanjing University of Science and Technology, Nanjing 210094, China

会议类型: 国际会议

会议名称: 2007年IEEE灰色系统与智能服务国际会议(2007 IEEE International Conference on Grey Systems and Intelligent Services)

会议地点: 南京

会议语种:英文

在线出版日期: 2007-11-18（万方平台首次上网日期，不代表论文的发表时间）