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Intelligent voltage controller based on ufzzy logic for DC-DC boost converter

Darmansyah Darmansyah, Robandi Imam

Przegląd Elektrotechniczny

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2022

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R. 98, nr 9

36--39

EN

One of the photovoltaic (PV) applications is as a renewable energy source. The photovoltaic (PV) output voltage becomes the voltage source for the DC-DC boost converter. To adjust the DC-DC boost converter's output voltage, the control system needs to adjust the output voltage of the DC-DC boost converter applied by the PV. The voltage generated by the DC-DC boost converter follows the needs of the electrical equipment or load. The control system on the DC-DC converter uses a Proportional Integral (PI) Controller and a Fuzzy Logic (FL). The PI controller and FLC can control the output voltage of the DC-DC converter. This PI controller is compared with FL to obtain the appropriate output voltage for the dc-dc boost converter. The output of this PI and FLC controller system is the duty cycle used to control the DC-DC boost converter's performance. The PI controller system is tuned by autotuning and FL to obtain control parameters of a DC-DC boost converter with a 12 V PV voltage source and a 24 V output voltage. The results of the PI controller constants obtained are: kp = 1.8, ki = 0.9, maximum overshoot voltage (Mp) = 39 V (62.25%), rise time = 1.0 seconds, settling time = 5.0 seconds, transient state = 5.0 seconds, and steady-state error of 8.4%. The simulation results of the FL controller constants were obtained: 4.2% steady-state error and a settling time of 1.5 seconds, with a 4.2% steady-state error. The results of the control output voltage DC-DC boost converter fed by PV showed FL was better than the PI controller.

PL

Jednym z zastosowan fotowoltaicznych (PV) jest odnawialne zrodlo energii. Napiecie wyjsciowe fotowoltaiki (PV) staje sie zrodlem napiecia dla prztwomicy podwyzszajacej DC-DC. Abywyregulowac napicie wyjsciowe przetromicy podwyzszajacej DC-DC, system sterowania musi wyregulowac napieciewyjściowe przetwornicy podwyższającej DC-DC, system sterowania musi wyregulować napięcie wyjściowe przetwornicy podwyższającej DC-DC stosowanej przez PV. Napięcie generowane przez przetwornicę podwyższającą DC-DC odpowiada potrzebom sprzętu elektrycznego lub obciążenia. System sterowania w przetworniku DC-DC wykorzystuje sterownik proporcjonalno-całkujący (PI) i logikę rozmytą (FL). Kontroler PI i FLC mogą sterować napięciem wyjściowym przetwornika DC-DC. Ten regulator PI jest porównywany z FL w celu uzyskania odpowiedniego napięcia wyjściowego dla przetwornicy podwyższającej DC-DC. Wyjściem tego systemu kontrolera PI i FL jest cykl pracy używany do sterowania wydajnością przetwornicy DC-DC boost. System regulatora PI jest dostrajany przez autotuning i FL w celu uzyskania parametrów kontrolnych przetwornicy podwyższającej napięcie DC-DC ze źródłem napięcia PV 12 V ki napięciem wyjściowym 24 V. Otrzymane wyniki stałych regulatora PI to: kp = 1,8, ki = 0,9, maksymalne napięcie przeregulowania (Mp) = 39 V (62,25%), czas narastania = 1,0 s, czas ustalania = 5,0 s, stan przejściowy = 5,0 s, błąd stanu ustalonego 8,4%. Uzyskano wyniki symulacji stałych regulatora FLC: błąd stanu ustalonego 4,2% i czas ustalania 1,5 sekundy z błędem stanu ustalonego 4,2%. FL był lepszy od kontrolera PI.

2

Design of decoupled pi controllers for two-input two-output networked control systems with intrinsic and network-induced time delays

Mohamed-Vall Ould Mohamed

Acta Mechanica et Automatica

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2021

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Vol. 15, no. 4

201--208

EN

Proportional integral controller design for two-input two-output (TITO) networked control systems (NCSs) with intrinsic and network-induced time delays is studied in this paper. The TITO NCS consists of two delayed sub-systems coupled in a 1-1/2-2 pairing mode. In order to simplify the controller design, a decoupling method is first applied to obtain a decoupled system. Then, the controllers are designed based on the transfer function matrix of the obtained decoupled system and using the boundary locus method for determining the stability region and the well-known Mikhailov criterion for the stability test. A comparative analysis of the designed controllers and other controllers proposed in previous literature works is thereafter carried out. To demonstrate the validity and efficacy of the proposed method and to show that it achieves better results than other methods proposed in earlier literature works, the implementation in simulation of Wood–Berry distillation column model (methanol–water separation), a well-known benchmark for TITO systems, is carried out.

3

Design of Network Traffic Congestion Controller with PI AQM Based on ITAE Index

Fajri Misbahul, Ramli Kalamullah

International Journal of Electronics and Telecommunications

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2020

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Vol. 66, No. 4

715--721

EN

Establishing the proper values of controller parameters is the most important thing to design in active queue management (AQM) for achieving excellent performance in handling network congestion. For example, the first well known AQM, the random early detection (RED) method, has a lack of proper parameter values to perform under most the network conditions. This paper applies a Nelder-Mead simplex method based on the integral of time-weighted absolute error (ITAE) for a proportional integral (PI) controller using active queue management (AQM). A TCP flow and PI AQM system were analyzed with a control theory approach. A numerical optimization algorithm based on the ITAE index was run with Matlab/Simulink tools to find the controller parameters with PI tuned by Hollot (PI) as initial parameter input. Compared with PI and PI tuned by Ustebay (PIU) via experimental simulation in Network Simulator Version 2 (NS2) in five scenario network conditions, our proposed method was more robust. It provided stable performance to handle congestion in a dynamic network.

4

Modeling and Lyapunov-designed based on Adaptive Gain Sliding Mode Control for wind turbines

Kerrouche K. D. E., Mezouar A., Boumediene L., Van Den Bossche A.

Journal of Power Technologies

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2016

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Vol. 96, nr 2

124--136

EN

In this paper, modeling and the Lyapunov-designed control approach are studied for the Wind Energy Conversion Systems (WECS). The objective of this study is to ensure the maximum energy production of a WECS while reducing the mechanical stress on the shafts (turbine and generator). Furthermore, the proposed control strategy aims to optimize the wind energy captured by the wind turbine operating under rating wind speed, using an Adaptive Gain Sliding Mode Control (AG-SMC). The adaptation for the sliding gain and the torque estimation are carried out using the sliding surface as an improved solution that handles the conventional sliding mode control. Furthermore, the resultant WECS control policy is relatively simple, meaning the online computational cost and time are considerably reduced. Time-domain simulation studies are performed to discuss the effectiveness of the proposed control strategy.