Friction Compensation Control of Electromechanical Actuator Based on Neural Network Adaptive Sliding Mode

In this paper, a radial basis neural network adaptive sliding mode controller (RBF−NN ASMC) for nonlinear electromechanical actuator systems is proposed. The radial basis function neural network (RBF−NN) control algorithm is used to compensate for the friction disturbance torque in the electromechan...

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Detalles Bibliográficos
Autores principales: Ruan, Wei, Dong, Quanlin, Zhang, Xiaoyue, Li, Zhibing
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2021
Materias:
Communication
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7926805/
https://www.ncbi.nlm.nih.gov/pubmed/33671572
http://dx.doi.org/10.3390/s21041508

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7926805/
https://www.ncbi.nlm.nih.gov/pubmed/33671572
http://dx.doi.org/10.3390/s21041508

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