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Neural adaptive sliding mode speed tracking control of a DC motor 被引量:1
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作者 刘子龙 刘国忠 刘洁 《Journal of Systems Engineering and Electronics》 SCIE EI CSCD 2004年第3期304-308,共5页
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 outp... 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. 展开更多
关键词 DC motor neural identifier sliding mode.
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