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- Title
Neural Network Adaptive Control for X-Y Position Platform with Uncertainty.
- Authors
Ye Xiaoping; Zhang Wenhui; Fang Yamin
- Abstract
An improvement neural network adaptive control strategy is put forward for X-Y position platform with uncertainty by the paper. Firstly, dynamics model of X-Y position platform is established. Then, RBF neural network with good learning ability is used to approach non-linear system. The early period control accuracy of the problem is considered by the paper, because good precision in the early period is difficult to be obtained by neural network controller, so PID controller is designed to compensate control. An improvement dynamic optimization adjustment algorithm of network weights is designed to speed up the learning speed. Simulation results show that the control method is more effective to improve the control precision and real-time and has a good application value.
- Subjects
ARTIFICIAL neural networks; ADAPTIVE control systems; MATHEMATICAL optimization; NONLINEAR analysis; PID controllers
- Publication
Telkomnika, 2014, Vol 12, Issue 1, p79
- ISSN
1693-6930
- Publication type
Article
- DOI
10.12928/TELKOMNIKA.v12i1.1509