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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.

Coordinated design of PSS and TCSC based on Fuzzy controller using global signals

Ghasemi A., Shayeghi H.

Journal of Power Technologies

2018

Vol. 98, nr 1

106--120

This paper presents a modified chaotic gravitational search algorithm (CGSA) as a novel heuristic algorithm for coordinate design of fuzzy logic controller-based thyristor controlled series capacitor (FLC-TCSC) and power system stabilizers (PSSs) in multi-machine power system. The coordinate design of PSS and FLC-TCSC damping controllers is converted to a single optimization problem with the time-domain objective function which is solved by the proposed CGSA algorithm which has strong ability for finding the most optimistic results. By minimizing the employed fitness function in which oscillatory characteristics between areas are included, the interactions among the FLC-TCSC controller and PSS under transient conditions in the multi-machine power system are enhanced. The generator speed and the electrical power are chosen as global input signals. The system performance is assessed through the time multiplied absolute value of the error (ITAE), Eigenvalues and figure of demerit (FD) analysis performance indices. The robustness is tested by considering several operating conditions to establish the superior performance with the proposed controller over the other stabilizers.