Adaptive Control of a DC Motor Using Neural Network Sliding Mode Control
نویسنده
چکیده
In this paper, an Adaptive Neural Network Sliding Mode Controller (ANNSMC) design approach is proposed. Sliding mode control method is studied for controlling DC motor because of its robustness against model uncertainties and external disturbances, and also its ability in controlling nonlinear and MIMO systems. The main drawback of SMC is a phenomenon, the so-called chattering, which can excite unmodeled dynamics and maybe harm the plan, and sliding mode control cant adapt on desired position against external load torque. Different approaches are used to abate these drawbacks such as adaptive neural network and boundary layers. So the chattering is avoided and response of system is improved against external load torque here. Presented simulations results confirm the above claims and demonstrate the performance improvement in this case.
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