| Neural adaptive sliding mode speed tracking control of a DC motor |
| |
| 作者姓名： | 刘子龙 刘国忠 刘洁 |
| |
| 摘 要： | We propose a BPNN based adaptive sliding mode control scheme for speed tracking of a DC motor with unknown system nonlinearities. The input-output linearization technique is used to cancel the nonlinearities, and output of the BPNN is incorporated into the controller in the proposed scheme. It is shown that the rotor speed of a DC motor can follow any arbitrarily selected trajectories under variable load torque. Then the application of the approach is tested via some simulations.
|
Neural adaptive sliding mode speed tracking control of a DC motor |
| |
| Abstract: | We propose a BPNN based adaptive sliding mode control scheme for speed tracking of a DC motor with unknown system nonlinearities. The input-output linearization technique is used to cancel the nonlinearities, and output of the BPNN is incorporated into the controller in the proposed scheme. It is shown that the rotor speed of a DC motor can follow any arbitrarily selected trajectories under variable load torque. Then the application of the approach is tested via some simulations. |
| |
| Keywords: | DC motor neural identifier sliding mode |
| 本文献已被 万方数据 等数据库收录！ |
