Discrete-time sliding mode controller based on backstepping disturbance compensation for robust current control of PMSM drives

Author(s):  
Thieli S. Gabbi ◽  
Marcelo B. de Araujo ◽  
Lucas R. Rocha ◽  
Filipe P. Scalcon ◽  
Hilton A. Grun̈dling ◽  
...  
2020 ◽  
Vol 519 ◽  
pp. 183-199 ◽  
Author(s):  
Ramasamy Subramaniam ◽  
Dongran Song ◽  
Young Hoon Joo

1994 ◽  
Vol 23 (5) ◽  
pp. 371-374 ◽  
Author(s):  
C.Y. Chan

Author(s):  
Chidentree Treesatayapun

An adaptive discrete-time controller is developed for a class of practical plants when the mathematical model is unknown and the sampling time is nonconstant or unfixed. The data-driven model is established by the set of plant's input–output data under the pseudo-partial derivative (PPD) which represents the change of output with respect to the change of control effort. The multi-input fuzzy rule emulated network (MiFREN) is utilized to estimate PPD with an online-learning phase to tune all adjustable parameters of MiFREN with the convergence analysis. The proposed control law is developed by the discrete-time sliding mode control (DSMC), and the time-varying band is established according to the unfixed sampling time and unknown boundaries of disturbances and uncertainties. The prototype of direct current-motor current control with uncontrolled-sampling time is constructed to validate the performance of the proposed controller.


Author(s):  
Guilherme Vieira Hollweg ◽  
Paulo Jefferson Dias de Oliveira Evald ◽  
Deise Maria Cirolini Milbradt ◽  
Rodrigo Varella Tambara ◽  
Hilton Abilio Grundling

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