Title :
Application of NN-PID Control in Linear Elevator
Author :
Yu, Hiayan ; Zhang, Xin ; Hu, Qing
Author_Institution :
Sch. of Inf. & Sci. Eng., Shenyang Univ. of Technol., Shenyang, China
Abstract :
The attraction of neural networks is that they are best suited to solving the problems that are the most difficult to solve by traditional computational methods. BP neural network is widely used in many fields. In this paper, analysed the control requirements of servo control system, combined control characteristics of neural network and PID based on mathematical model of permanent magnet linear synchronous motor, a control system of permanent magnet linear synchronous motor for hoisting system are designed. The results of simulation showed that the control system with external disturbance and Parameter change was effective.
Keywords :
backpropagation; control systems; lifts; linear synchronous motors; neural nets; permanent magnet motors; servomechanisms; three-term control; BP neural network; NN-PID control; hoisting system; linear elevator; mathematical model; permanent magnet linear synchronous motor; servo control system; Computer networks; Control system analysis; Control system synthesis; Elevators; Magnetic analysis; Mathematical model; Neural networks; Servosystems; Synchronous motors; Three-term control; PID; linear elevator; neural network;
Conference_Titel :
Natural Computation, 2009. ICNC '09. Fifth International Conference on
Conference_Location :
Tianjin
Print_ISBN :
978-0-7695-3736-8
DOI :
10.1109/ICNC.2009.417
