首页|The research of PMSM RBF neural network PID parameters self-tuning in elevator
The research of PMSM RBF neural network PID parameters self-tuning in elevator
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NETL
To make the elevator operates more smoothly and obtain quicker response speed， the traditional PID algorithm of elevator traction machine speed system needs to be improved。 This paper adopts RBF neural network PID control algorithm to control the speed system of PMSM。 The simulation results verify that the dynamic performances of PMSM have been improved。 In addition， combined with the elevator speed curve， the simulation results verify that the RBF neural network PID control algorithm applied to the elevator with PMSM control system is feasible。
ElevatorPMSMRBF neural network
Tong-xu, Wang、Hong-yan, Ma
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School of Electrical and Information Engineering, Beijing University of Civil Engineering and Architecture, Beijing 100044
NETL
