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Fuzzy adaptive control of a series connected tow-motor six-phase driver system with seven-level single inverter supply

Bessaad Taieb, Taleb Rachid, Belboula Abdelkader

Przegląd Elektrotechniczny

2019

R. 95, nr 7

51--59

This paper presents a method of behaviour model control (BMC) combined with fuzzy logic and a seven-level six-phase inverter to achieve mainly a high performance and to increase the robustness of the vector control and to keep its performances despite the presence of perturbations (parameters variations, abrupt load variations, etc.) of a series-connected two motor six phase drive system with single inverter supply. The idea of the proposed control is to induce adding supplementary control inputs, which yield the process to follow the model. The best of feature of this control design is that it achieves the same performances as the Field Oriented Control without the need for heavy and expensive gain tuning. The effectiveness of the proposed behaviour model control in conjunction with the fuzzy logic is confirmed through the application of different load torques for wide speed range operation. Comparison between fuzzy behaviour model control, fuzzy logic controller (FLC) and conventional controller (PI) of the proposed two-motor drive is provided. The simulation results confirm also that, the validity and effectiveness of the control strategy proposed in both terms of performance and robustness (rotor inertia variations J1=5J1nominal) of the provision of such an adaptive control for electrical drives with the two machines of the system.

W artykule opisano wykorzstanie metody BMC (behaviour model control) wspartej logiką romytą w siedmiopoziomowym sześciofazowym przekształtniku w celu osiągnięcia dobrych parametrów I zwiększenia odpoeności w obecności zakłóceń. Osiągnioęto podobne parametry co w przypadku stosowania metody FOC (field oriented control) bez koniczności stosowania dopasowania wzmocnienia.

General adaptive observer-based fuzzy control of uncertain nonaffine systems

Boulkroune A., Tadjine M., M'Saad M., Farza M.

Archives of Control Sciences

2006

Vol. 16, no. 4

383-410

This paper focuses on the construction of an adaptive fuzzy output feedback control based on any adaptive fuzzy observer for a class of single-input-single-output SISO uncertain or ill-defined nonaffine nonlinear system. Indeed, the corrective term of the proposed observer involves a well defined design function which is shown to be satisfied by the commonly used high-gain based observers, namely for the usual high-gain observers and the sliding modes observers together with their implementable versions. The design of the underlying update law as well as the robust control term is based on an appropriate filtering of the output tracking error. This particularly allows to overcome yhe output observation error flitering or the necessity of the famous strictly positive real (SPR) condition.