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- Title
Self-learning PID Control for X-Y NC Position Table with Uncertainty Base on Neural Network.
- Authors
Hu Xiaoping; Wang Chao; Zhang Wenhui; Ma Jing
- Abstract
An adaptive radical basis function (RBF) neural network PID control scheme for X-Y position table is proposed by the paper. Firstly, X-Y position table model is established, controller based on neutral network is used to learn adaptive and compensate uncertainty model of X-Y position table, neutral network is used to study model. PID neural network controller base on augmented variable method is designed. PID controller is used as assistant direction error controller, neural network parameters base on stochastic gradient algorithm can be adjust adaptive on line. The simulation results show that the presented controller has important engineering value.
- Subjects
PID controllers; ARTIFICIAL neural networks; DYNAMIC models; COMPUTER simulation; STOCHASTIC analysis
- Publication
Telkomnika, 2014, Vol 12, Issue 2, p343
- ISSN
1693-6930
- Publication type
Article
- DOI
10.12928/TELKOMNIKA.v12i2.2112