Comparison of PI and PID Controlled Bidirectional DC-DC Converter Systems

Ramya, K.; Jegathesan, V.

doi:10.11591/ijpeds.v7.i1.pp56-65

Cited by 10 publications

(7 citation statements)

References 29 publications

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“…The work reported in References 5 and 6 propose a PI controller used in hybrid vehicle to recover the regenerative braking energy to charge the battery and to keep the voltage bus of electric vehicle constant. Similarly, the work reported in Reference 7 present a comparison of responses of the PI and the PID controlled bidirectional DC‐DC converter systems. Another solution also based on PI controller applied in electric vehicles based sliding surface formed by the inductor current error was reported in Reference 6.…”

Section: Introductionmentioning

confidence: 91%

“…The bidirectional converter is controlled to regulate the DC_Bus voltage within safe limits and simultaneously impose a given energy flow between the battery and the DC_Bus 1 . Many papers focused on regulating of the DC_Bus voltage by the control of bidirectional converter 5‐14 . The PID controllers are the most common used methods for the control of engineering application, which are processes the error signal into input signal by the aid of proportional factor (P), integrative action (I), and differential action (D).…”

Section: Introductionmentioning

confidence: 99%

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Intelligent controller based energy management for stand‐alone power system using artificial neural network

Boujoudar

Azeroual

Moussaoui

et al. 2020

Int Trans Electr Energ Syst

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Summary Standalone Power Systems (SPS), formerly known as Micro Power Systems, is an off‐grid electricity system for locations that are not fitted with an electricity generation. Typical SPS include one or more renewable electricity sources, energy storage, and regulation. In this paper, supervision of hybrid Photovoltaic system and battery storage is presented. The power balance of the hybrid system is made on an intelligent supervisor based on Artificial Neural Network Controller (ANNC). The main purpose of this paper is the control of DC/DC Bidirectional Converter (DBC), which connect the Li‐ion battery with the DC_Bus of Stand‐alone Power Systems (SPS). Based on the use of artificial neural network controller, which are effective tools for highly nonlinear system. The proposed technique does not require a pre‐defined model of power DBC only depend on power and voltage system data. Simulation for stand‐alone systems performed at Matlab Simulink. The comparison with PID controller for the result obtained of DC_Bus voltage, and power demanded, demonstrate the robustness, and satisfactory performance of the proposed control strategy.

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Section: Introductionmentioning

confidence: 91%

Section: Introductionmentioning

confidence: 99%

Intelligent controller based energy management for stand‐alone power system using artificial neural network

Boujoudar

Azeroual

Moussaoui

et al. 2020

Int Trans Electr Energ Syst

View full text Add to dashboard Cite

show abstract

“…The authors of [21] propose employing a PI controller in a hybrid vehicle to recover regenerative braking energy while charging the battery and keeping the electric vehicle's voltage bus constant. A comparison of the responses of PI and PID-controlled bidirectional DC-DC converter systems is also included in [22]. The PID controller must automatically regulate power disruption or load variation effects, as shown in the example in [23].…”

Section: Proportional-integral-derivative (Pid) Techniquementioning

confidence: 99%

Energy Management and Voltage Control in Microgrids Using Artificial Neural Networks, PID, and Fuzzy Logic Controllers

et al. 2022

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Microgrids, comprising distributed generation, energy storage systems, and loads, have recently piqued users’ interest as a potentially viable renewable energy solution for combating climate change. According to the upstream electricity grid conditions, microgrid can operate in grid-connected and islanded modes. Energy storage systems play a critical role in maintaining the frequency and voltage stability of an islanded microgrid. As a result, several energy management systems techniques have been proposed. This paper introduces a microgrid system, an overview of local control in a microgrid, and an efficient EMS for effective microgrid operations using three smart controllers for optimal microgrid stability. We designed a microgrid consisting of renewable sources, Li-ion batteries, the main grid as a backup system, and AC/DC loads. The proposed system control was based on supplying loads as efficiently as possible using renewable energy sources and monitoring the battery’s state of charge. The simulation results using MATLAB Simulink demonstrate the performance of the three proposed microgrid stability strategies (PID, artificial neural network, and fuzzy logic). The comparison results confirmed the viability and effectiveness of the proposed technique for energy management in a microgrid which is based on fuzzy logic controllers.

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“…To solve this problem, the PID controller is proposed [68]. The PID working paradigm is described in [69,70]. Although there was variation in the input voltage, the output voltage remained the same because the converter output voltage was correlated with the appropriate set of values, and a triggered signal was sent to a switch for the required output voltage.…”

Section: Proportional-integral-derivative Controlmentioning

confidence: 99%

Analysis of the Dual Active Bridge-Based DC-DC Converter Topologies, High-Frequency Transformer, and Control Techniques

et al. 2022

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A power conversion system needs high efficiency for modern-day applications. A DC–DC isolated bidirectional dual active bridge-based converter promises high efficiency and reliability. There are several converter topologies available in the market claiming to be the best of their type, so it is essential to choose from them based on the best possible result for operation in a variety of applications. As a result, this article examines the characteristics, functionality, and benefits of dual active bridge-based DC–DC converter topologies and the other members of the family, as well as their limits and future advances. A high-frequency transformer is also an important device that is popular due to high leakage inductance in dual active bridge (DAB) converters. Therefore, a detailed review is presented, and after critical analysis, minimized leakage inductance in the toroidal transformer is obtained using the ANSYS Maxwell platform. Furthermore, this work includes a comprehensive examination of the control approaches for DAB converters, which is important for selecting the most appropriate technique for a certain application. The outcome of ANSYS Maxwell is integrated with a DAB-based boost inverter in the MATLAB/Simulink environment, and the results are validated with the help of an experimental prototype.

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Comparison of PI and PID Controlled Bidirectional DC-DC Converter Systems

Cited by 10 publications

References 29 publications

Intelligent controller based energy management for stand‐alone power system using artificial neural network

Intelligent controller based energy management for stand‐alone power system using artificial neural network

Energy Management and Voltage Control in Microgrids Using Artificial Neural Networks, PID, and Fuzzy Logic Controllers

Analysis of the Dual Active Bridge-Based DC-DC Converter Topologies, High-Frequency Transformer, and Control Techniques

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