In nonlinear control systems when we have a non-constant parameters, conventional control laws may be insufficient because they are not robust especially when the requirement on accuracy and other characteristics dynamic systems are strict. We must use control laws insensitive against to parameter variations, disturbance and nonlinearities. For this purpose, several tools are proposed in the literature, which is quoted a hybrid fuzzy logic and variable structure control (Fl_VSC). This per presents an application of the fuzzy logic scheme to control the speed of PMSM by taking account of the presence of interturn short circuit fault. We were interested in the sliding mode control (SMC) of the PMSM using controller’s fuzzy logic controller (FLC) and Adaptive fuzzy logic controller (AFLC). The combination of these two theories has given great performance with fast dynamic response without overshoot. As it has a very robust control, insensitive against to parameters variation and external disturbances. Simulation results confirm the choice of hybrid controllers compared with the conventional controllers and grants a robust performance and precise response to the reference model regardless of load disturbance, stator faults and PMSM parameter uncertainties.
Hybrid Control Using Adaptive Fuzzy Sliding Mode for Diagnosis of Stator Fault in PMSM
30.06.2016
doi:10.3311/PPtr.8242
Periodica Polytechnica Transportation Engineering; Vol 44 No 3 (2016); 172-180 ; 1587-3811 ; 0303-7800
Aufsatz (Zeitschrift)
Elektronische Ressource
Englisch
DDC: | 629 |
Sliding Mode Hybrid Control of PMSM for Electric Vehicle
Springer Verlag | 2023
|Longitudinal brake control of hybrid electric bus using adaptive fuzzy sliding mode control
Kraftfahrwesen | 2012
|Adaptive Robust Control: Adaptive Fuzzy Sliding Mode Control Technique
Springer Verlag | 2021
|