Title :
DC motor control based on artificial neural network and adaptive PI
Author :
Pengpraderm, S. ; Ruangsinchaiwanich, S.
Author_Institution :
Dept. of Electr. & Comput. Eng., Rajamangala Univ. of Technol. Lanna Tak, Lanna Tak, Thailand
Abstract :
This research proposes an adaptive PI controller for controlling DC motor. The feed-forward neural network is selected to cooperate with PI controller for improving motor control while the motor is operated in compressed load. The results showed that the proposed control method can potentially improve control performances, such as reduce ripple and overshoot.
Keywords :
DC motors; PI control; adaptive control; feedforward neural nets; machine control; DC motor control; adaptive PI controller; artificial neural network; compressed load; feed-forward neural network; Adaptive systems; Artificial neural networks; DC motors; Force; Training; Transfer functions; PI controller; adaptive PI controlle; artificial neural network; r DC motor;
Conference_Titel :
Electrical Machines and Systems (ICEMS), 2014 17th International Conference on
Conference_Location :
Hangzhou
DOI :
10.1109/ICEMS.2014.7013957
