| Title |
Application of Neural Network Self Adaptative Control System for A.C. Servo Motor Speed Control |
| Authors |
Wal-Seo Park ; Sung-Su Lee ; Yong-Wook Kim ; Seok-Ju Yoo |
| Keywords |
Neural network ; A.C. servo motor Speed control ; Activation function ; Back propagation |
| Abstract |
Neural network is used in many fields of control systems currently. However, It is not easy to obtain input-output pattern when neural network is used for the system of a single feedback controller and it is difficult to get satisfied performance with neural network when load changes rapidly or disturbance is applied. To resolve these problems, this paper proposes a new mode to implement a neural network controller by installing a real object in place of activation function of Neural Network output node. As the Neural Network self adaptive control system is designed in simple structure neural network, input-output pattern problem is solved naturally and real time learning becomes possible through general back propagation algorithm The effect of the proposed Neural Network self adaptive control algorithm was verified in a test of controlling the speed of a AC. servo motor equipped with a high speed computing capable DSP (TMS320C32) on which the proposed algorithm was loaded. |