Neural adaptive sliding mode speed tracking control of a DC motor

2004Acta Scientiarum Naturalium Universitatis SunyatseniComputer Science被引 2

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 come simulations.

引用本文（GB/T 7714）

刘子龙, 刘国忠, 刘洁. Neural adaptive sliding mode speed tracking control of a DC motor[J]. Acta Scientiarum Naturalium Universitatis Sunyatseni, 2004.

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