摘要
为消除电动机的混沌现象。提出了一种控制混沌运动的方法．利用微粒群优化和神经网络相结合的方法对电梯永磁同步电动机进行混沌控制。通过Matlab仿真。表明混沌现象得到良好的控制，提高了电梯运行的稳定性。
In order to eliminate the chaos of the motor, a method of controlling chaos is proposed, which is based on the combination of particle swarm optimization and neural network to control permanent magnet synchronous motor of elevator. Through Matlab simulation, the result shows that chaotic phenomenon can be well controlled, the operation stability of the elevator is improved.
出处
《中国电梯》
2015年第19期21-22,26,共3页
China Elevator
关键词
电梯
永磁同步电动机
混沌运动
控制方法
神经网络
微粒群优化
elevator
permanent magnet synchronous motor
chaotic motion
control method
neural network
particle swarm optimization
