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Self-learning PID Control for X-Y NC Position Table with Uncertainty Base on Neural Network

Journal from gdlhub / 2016-11-12 06:14:40
Oleh : Hu Xiaoping, Wang Chao, Zhang Wenhui, Ma Jing, Telkomnika
Dibuat : 2014-06-01, dengan 1 file

Keyword : RBF neural network；Self-learning control；X-Y NC position table；PID control
Url : http://journal.uad.ac.id/index.php/TELKOMNIKA/article/view/73

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.

Deskripsi Alternatif :

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.

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