Title :
Induction motor control based on BP neural network and adaptive PID
Author :
Zhang Jing ; Wang Shi-chao ; Jiang Yan-yan ; Zhang Xiang
Author_Institution :
Sch. of Autom., Harbin Univ. of Sci. & Technol., Harbin, China
Abstract :
With the advantages of firmness, reliability, low price and high efficiency, induction motor has become a selected object for a lot of servo system. However, as Induction motor is a nonlinear control system with multi variable and strong coupling, its speed and torque are control often affected by the motor parameters and external disturbances. Therefore, the research on how to improve the robustness of induction motor control has important significance. This paper adopts BP neural network and adaptive PID control method to control induction motor and has achieved higher steady-state precision and fast follow control effect through the simulation.
Keywords :
adaptive control; backpropagation; induction motors; machine control; neurocontrollers; nonlinear control systems; robust control; servomechanisms; three-term control; torque control; velocity control; BP neural network; adaptive PID control; external disturbance; firmness; induction motor control; motor parameter; multivariable coupling; nonlinear control system; reliability; robustness; servo system; speed control; steady-state precision; strong coupling; torque control; Adaptive PID; BP neural network; Control; Induction motor;
Conference_Titel :
Computer Science and Network Technology (ICCSNT), 2012 2nd International Conference on
Conference_Location :
Changchun
Print_ISBN :
978-1-4673-2963-7
DOI :
10.1109/ICCSNT.2012.6526086