Comparative study of Zeta converter and Boost converter Using PI controller

Haq, Zia Ul; Ali, Aashir

doi:10.1109/iceeie52663.2021.9616826

Cited by 2 publications

(4 citation statements)

References 12 publications

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“…International Journal of Intelligent Engineering and Systems, Vol. 15 converter controller. From the simulation results it is found that the ELM can mimic the actual parameter of conventional PI.…”

Section: Conflicts Of Interestmentioning

confidence: 99%

“…International Journal of Intelligent Engineering and Systems, Vol. 15 The application of DC converter as electric vehicle drivetrains is reported in [12]. From the simulation results it is noticeable that DC converter is essential tools in the electric vehicle.…”

Section: Introductionmentioning

confidence: 99%

“…The design the switching mechanism optimally, the controller of the switching is essential. PI controller is common controller that usually used as the converter controller [15]. However, PI controller is out of date as now a lot of disturbance and non-linearity is affected in electric vehicle.…”

Section: Introductionmentioning

confidence: 99%

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Adaptive Controller of Bidirectional DC-DC Converter Based on Extreme Learning Machine for Electric Vehicle

2022

IJIES

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This paper proposed a novel adaptive controller of a non-isolated bidirectional coupled inductor DC converter based on an extreme learning machine (ELM) for electric vehicles. MATLAB and SIMULINK are used as the software platform to simulate the proposed method. Different operating conditions are considered to show the efficacy of the extreme learning machine. From the simulation results, it is found that by designing the controller based on an extreme learning machine the controller can automatically adjust the value depending on the operating conditions (motor moving forward, backward, and regenerative braking). In addition, the performance of the motor with DC converter based on ELM is compared with DC converter based on grey wolf optimization and based on conventional PI controller. This is indicated by the overshoot and the settling time is much better when using controller based on an extreme learning machine (overshoot 221.6 and settling time 3.8 second).

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Section: Conflicts Of Interestmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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Adaptive Controller of Bidirectional DC-DC Converter Based on Extreme Learning Machine for Electric Vehicle

2022

IJIES

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“…In 2022, Ertekin et al [8], a proportional-integral (PI) controller was used as the voltage output of the boost converter, in addition it is showing that its utilization caused the optimal operation of the booster's [9] also indicated the comparative analysis between the zeta and boost converters using a PI controller. In this condition, both converters had a better response with the addition of the control system.…”

Section: Introductionmentioning

confidence: 99%

Intelligent voltage controller based on firefly algorithm for DC-DC boost converter

Darmansyah

Robandi

2022

IJEECS

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DC-DC boost converter is one of the important tools of photovoltaic (PV) power plant. DC-DC boost converter can be used to adjust the voltage output of photovoltaic before going to the inverter. In addition, DC-DC boost converter can be used as additional devices to make the PV plant operated in maximum power point condition. To get the optimal voltage adjusment, an appropriate controller is essential. Generally, PI controller is commonly used to control the switching procedure of the boost converter. However, with uncertainty of the source (uncertainty of the PV output), PI controller is out off dated. Hence designing PI controller based on the metaheuristic algorithm such as firefly algorithm is essential. This paper is proposed an intelligent voltage controller for DC-DC boost converter based on firefly algorithm (FA). From the simulation results it is noticeable that the PI based on FA could provide better control signal (indicated by the fastest settling time of the boost converter).

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Comparative study of Zeta converter and Boost converter Using PI controller

Cited by 2 publications

References 12 publications

Adaptive Controller of Bidirectional DC-DC Converter Based on Extreme Learning Machine for Electric Vehicle

Adaptive Controller of Bidirectional DC-DC Converter Based on Extreme Learning Machine for Electric Vehicle

Intelligent voltage controller based on firefly algorithm for DC-DC boost converter

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