Neural adaptive sliding mode speed tracking control of a DC motor

作     者：刘子龙 刘国忠 刘洁 

作者机构：DepartmentofControlScienceandEngineeringofHarbinInstituteofTechnologyHarbin150001P.R.China SchoolofComputerScienceandTechnologyofHarbinInstituteofTechnologyHarbin150001P.R.China NELAC.CoreofMeasureControlHarbin150060P.R.China 

出 版 物：《Journal of Systems Engineering and Electronics》 (系统工程与电子技术（英文版）)

年 卷 期：2004年第15卷第3期

页      面：304-308页

核心收录：

学科分类：080801[工学-电机与电器] 0808[工学-电气工程] 08[工学] 0835[工学-软件工程] 0802[工学-机械工程] 080201[工学-机械制造及其自动化] 

主　　题：DC motor neural identifier sliding mode. 

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.