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

Volume

2

fYear

2009

fDate

14-16 Aug. 2009

Firstpage

35

Lastpage

37

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;

fLanguage

English

Publisher

ieee

Conference_Titel

Natural Computation, 2009. ICNC '09. Fifth International Conference on

Conference_Location

Tianjin

Print_ISBN

978-0-7695-3736-8

Type

conf

DOI

10.1109/ICNC.2009.417

Filename

5364128