Temat: gains adaptation - Prolib Integro

Skocz do pozycji: 1.

Tytuł:: Fuzzy adaptation in a state space controller applied for a two-mass system
Autorzy:: Żychlewicz, M.
Kamiński, M.
Tematy:: fuzzy gain scheduling
state space controller
gains adaptation
two-mass drive; Pokaż więcej
Wydawca:: Politechnika Wrocławska. Oficyna Wydawnicza Politechniki Wrocławskiej
Powiązania:: https://bibliotekanauki.pl/articles/1193391.pdf Link otwiera się w nowym oknie
Opis:: Application of a state space controller for two-mass system has been examined. However, the classical version of the controller was modified in order to improve properties of the whole system. For this purpose fuzzy model was implemented as an adaptation element for the parameters. The theoretical description of the control structure, numerical tests and experimental results (using dSPACE1103 card) have been presented.
Dostawca treści:: Biblioteka Nauki

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Skocz do pozycji: 2.

Tytuł:: High-performance induction motor drive based on adaptive super-twisting sliding mode control approach
Autorzy:: Farhi, Salah Eddine
Sakri, Djamel
Goléa, Noureddine
Tematy:: barrier function
chattering
gains adaptation
induction motor drive
sliding mode control
super twisting; Pokaż więcej
Wydawca:: Polska Akademia Nauk. Czytelnia Czasopism PAN
Powiązania:: https://bibliotekanauki.pl/articles/2042783.pdf Link otwiera się w nowym oknie
Opis:: This paper proposes two high-order sliding mode algorithms to achieve highperformance control of induction motor drive. In the first approach, the super-twisting algorithm (STA) is used to reduce the chattering effect and to improve control accuracy. The second approach combines the super-twisting algorithm with a quasi-barrier function technique. While the super-twisting algorithm (STA) aims at the chattering reduction, the Barrier super-twisting algorithm (BSTA) aims to eliminate this phenomenon by providing continuous output control signals. The BSTA is designed to prevent the STA gain from being over-estimated by making these gains to decrease and increase according to system’s uncertainties. Stability and finite-time convergence are guaranteed using Lyapunov’s theory. In addition, the two controlled variables, rotor speed, and rotor flux modulus are estimated based on the second-order sliding mode (SOSM) observer. Finally, simulations are carried out to compare the performance and robustness of two control algorithms without adding the equivalent control. Tests are achieved under external load torque, varying reference speed, and parameter variations.
Dostawca treści:: Biblioteka Nauki

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