Fuzzy PID Controller for Accurate Power Sharing in DC Microgrid

Nguyen, Duy‐Long; Lee, Hong‐Hee

doi:10.1007/978-3-030-26969-2_7

Cited by 3 publications

(2 citation statements)

References 16 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Different linear control methods for renewable-based DC microgrids are presented in the literature to stabilize the DC bus voltage. However, linear controllers have their limitations and cannot deal with the uncertainties present in the system [19][20][21][22]. A two-step energy management system and proportional-integral-derivative (PID) control for DC microgrid are proposed in [20].…”

Section: Introductionmentioning

confidence: 99%

“…The controller is simple and easy to implement but has some limitations such as slow reaching time, a small operating region, and an inability to handle nonlinearities that exist in the framework. A fuzzy-PID controller for wind and PV-based DC microgrid is discussed in [22]. Fuzzy logic is a model-free control technique and simple to implement, but since it depends mostly on human insight and expertise, it cannot recognize machine learning and neural networks.…”

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

Hybrid Control of the DC Microgrid Using Deep Neural Networks and Global Terminal Sliding Mode Control with the Exponential Reaching Law

Sharaf,

Armghan,

Ali

et al. 2023

Sensors

View full text Add to dashboard Cite

The direct current (DC) microgrid is one of the key research areas for our advancement toward carbon-free energy production. In this paper, a two-step controller is designed for the DC microgrid using a combination of the deep neural network (DNN) and exponential reaching law-based global terminal sliding mode control (ERL-GTSMC). The DC microgrid under consideration involves multiple renewable sources (wind, PV) and an energy storage unit (ESU) connected to a 700 V DC bus and a 4–12 kW residential load. The proposed control method eliminates the chattering phenomenon and offers quick reaching time by utilizing the exponential reaching law (ERL). In the two-step control configuration, first, DNNs are used to find maximum power point tracking (MPPT) reference values, and then ERL-based GTSMC is utilized to track the reference values. The real dynamics of energy sources and the DC bus are mathematically modeled, which increases the system’s complexity. Through the use of Lyapunov stability criteria, the stability of the control system is examined. The effectiveness of the suggested hybrid control algorithm has been examined using MATLAB simulations. The proposed framework has been compared to traditional sliding mode control and terminal sliding mode control to showcase its superiority and robustness. Experimental tests based on the hardware-in-the-loop (HIL) setup are then conducted using 32-bit TMS320F28379D microcontrollers. Both MATLAB and HIL results show strong performance under a range of environmental circumstances and system uncertainties.

show abstract