Fuzzy logic controller for Dc-Dc buck converter with constant power load
01 Nov 2017-pp 1175-1179
TL;DR: The fuzzy logic controller is design to ensure the stabilization of buck converter under change the constant power load and tight voltage regulation after transient response by choosing the proper duty cycle for each cycle.
Abstract: Load converter is the second stage of multiconverter electronic power system. Under tight control, the converter acts as constant power load (CPL). The CPL has innate incremental negative resistance properties (INR). The INR influence the power quality of system. In this paper, the proposed fuzzy logic controller aims to regulate the voltage of dc-dc buck converter which is feeding the CPL and the resistive load. The fuzzy logic controller is design to ensure the stabilization of buck converter under change the constant power load and tight voltage regulation after transient response by choosing the proper duty cycle for each cycle. The fuzzy logic controller is validated by simulation in MATLAB/Simulink.
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TL;DR: A systematic and simple approach to design an improved state feedback controller for the power buffer that can stabilize the dc MGs with multiple CPLs, and some hardware-in-the-loop real-time simulation results indicate the simplicity, validity, and better performance of the proposed approach.
Abstract: The dc microgrid (MG) system has several advantages over the ac one. Therefore, it recently became a preferred architecture in numerous industrial applications. Many loads in dc MGs are electronically regulated and they challenge the stability of the system due to their constant power load (CPL) behavior. This letter proposes a systematic and simple approach to design an improved state feedback controller for the power buffer that can stabilize the dc MGs with multiple CPLs. Based on the so-called sector nonlinearity approach, the nonlinear dc MG with several CPLs is exactly represented in a Takagi–Sugeno fuzzy model. Then, by employing the quadratic D-stability theory, the sufficient conditions to guarantee the stability and transient performance of the closed-loop system are obtained in terms of linear matrix inequalities (LMIs), such that the decay rate and oscillatory behavior of the closed-loop dc MG system are guaranteed to lie inside a predefined region. The LMI conditions can be numerically solved by utilizing the YALMIP toolbox in the MATLAB. Finally, to illustrate the merits and implementation validity of the proposed approach, some hardware-in-the-loop real-time simulation (RTS) results on a dc MG, which feeds two CPLs, are presented. In comparison with the state-of-the-art techniques, the RTS results indicate the simplicity, validity, and better performance of the proposed approach. According to the results, one can conclude that the proposed approach not only theoretically assures the stability but also guarantees the fast convergence and less oscillatory response of the dc MGs with multiple CPLs.
69 citations
Cites methods from "Fuzzy logic controller for Dc-Dc bu..."
...3) In comparisonwithMamdani fuzzy controller [26], the closed-loop stability and performance of the proposed approach are theoretically guaranteed by the quadratic D-stability theory....
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Journal Article•
TL;DR: An artificial intelligent technique based on fuzzy logic controller (FLC) to enhance the maximum power point tracking (MPPT) of PMSG-based wind turbine is presented.
Abstract: Permanent magnet synchronous generator (PMSG)-based wind turbine is considered as one of the promising technologies for generating electric power from wind energy. This paper presents an artificial intelligent technique based on fuzzy logic controller (FLC) to enhance the maximum power point tracking (MPPT) of PMSG-based wind turbine. The FLC method is compared with the conventional methods of MPPT to clarify the superior features of the proposed technique. The comparison between the MPPT methods have been accomplished based on the speed response and new evaluation where the overall system efficiency is considered. A complete model of PMSG with a back to back (BTB) converter along with the control system considering different MPPT techniques is conducted using MATLAB/Simulink O platform. To reveal the robustness and the feasibility of control system, the system is examined under different wind speed profiles. On the basis of the results, good tracking with high accuracy and lower oscillation rate are obtained after using FLC. Moreover, the overall system efficiency is enhanced compared with other MPPT schemes.
14 citations
Cites background from "Fuzzy logic controller for Dc-Dc bu..."
...The main advantage of the FLC is attributed to its capability to change the controller parameters very quickly in response to system dynamics without any estimated parameters [6-8]....
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TL;DR: This study proposed an alternative approach called the shift controller for the PVE to easily compute and maintain a fast transient response under various load conditions and shows that the proposed controller computes up to 18 times faster than the fuzzy logic controller.
Abstract: Photovoltaic (PV) emulator (PVE) is a non-linear power supply that produces a similar output to that of the PV module. It requires a closed-loop controller such as the proportional–integral (PI) and fuzzy logic controllers to operate properly. The PI controller has a low-computational burden and is not robust since the transient response varies under different load conditions. Although the fuzzy logic controller is robust, it requires high-computation capability. This study proposed an alternative approach called the shift controller for the PVE to easily compute and maintain a fast transient response under various load conditions. The performance of the proposed shift controller for the PVE is compared with the performance of the PVEs using the PI and fuzzy logic controllers, respectively. The controllers are simulated using MATLAB/Simulink and implemented using dSPACE ds1104 for experimental validation. The results show that the proposed shift controller computes up to 18 times faster than the fuzzy logic controller. The proposed controller also responds faster to load change than the PI controller.
12 citations
Journal Article•
TL;DR: A sliding mode control (SMC) strategy for solar charging of a high energy Li-Ion battery is presented and includes the PV reference voltage information in both the sliding surface, and in the equivalent control expression using the integral function.
Abstract: Lithium-Ion (Li-Ion) batteries have been widely used in Electric vehicle (EV) and several other applications for their lightness and high performance. However, they imply a strict charging procedure. When a photovoltaic (PV) energy source is used, the charging task becomes more sensitive and necessitates a robust control strategy. In fact, the photovoltaic generator (PVG) is a highly nonlinear current source and depends on climatic variations. In this paper, a sliding mode control (SMC) strategy for solar charging of a high energy Li-Ion battery is presented. The control scheme is based on a cascaded control of a Current Fed (CF) synchronous buck converter powered with a PVG. It allows both Maximum Power Point tracking (MPPT) and output voltage or current regulation of the converter. The regulation is principally done by using the (PV) voltage as a control parameter. A charging algorithm providing the suitable PV reference voltage to the SM controller was proposed. Study and stability analysis of the proposed SMC were also included. The main feature of the proposed SMC is to include the PV reference voltage information in both the sliding surface, and in the equivalent control expression using the integral function. The validity of the control strategy was demonstrated through simulations under different radiation levels in both MPPT and constant current-constant voltage (CC-CV) charging modes.
10 citations
Cites background from "Fuzzy logic controller for Dc-Dc bu..."
...In literature, several control types for DC-DC converters have been studied [10]....
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01 Oct 2018
TL;DR: The purposed controller is validated by simulation in MATLAB/Simulink for a motor driver under speed and voltage source variations and results prove that the controller makes the motor speed matching with its reference speed as well as constant and stable of DC-link voltage.
Abstract: The stabilization of the DC-link supplying 3phase inverter which drives Brushless DC motor based on Fuzzy-PI controller in the microgrid is presented. This work is included the study of a mathematical model for each inverter and motor. In addition, the stabilization analysis of motor driver based on Fuzzy-PI controller. The purposed controller is validated by simulation in MATLAB/Simulink for a motor driver under speed and voltage source variations. The simulation results prove that the controller makes the motor speed matching with its reference speed as well as constant and stable of DC-link voltage.
9 citations
Cites background from "Fuzzy logic controller for Dc-Dc bu..."
...The output signal is control function to regulate speed or keep it at constant value [14-16]....
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References
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TL;DR: Sliding-mode and feedback linearization techniques along with large-signal phase plane analysis are presented as methods to analyze, control, and stabilize automotive converters/systems operating with CPLs.
Abstract: Power electronic converters and electric motor drives are being put into use at an increasingly rapid rate in advanced automobiles. However, the new advanced automotive electrical systems employ multivoltage level hybrid ac and dc as well as electromechanical systems that have unique characteristics, dynamics, and stability problems that are not well understood due to the nonlinearity and time dependency of converters and because of their constant power characteristics. The purpose of this paper is to present an assessment of the negative impedance instability concept of the constant power loads (CPLs) in automotive power systems. The main focus of this paper is to analyze and propose design criteria of controllers for automotive converters/systems operating with CPLs. The proposed method is to devise a new comprehensive approach to the applications of power electronic converters and motor drives in advanced automotive systems. Sliding-mode and feedback linearization techniques along with large-signal phase plane analysis are presented as methods to analyze, control, and stabilize automotive converters/systems with CPLs
813 citations
TL;DR: The implementation of novel active-damping techniques on dc/dc converters has been shown and the proposed active- damping method is used to overcome the negative impedance instability problem caused by the CPLs.
Abstract: Multi-converter power electronic systems exist in land, sea, air, and space vehicles. In these systems, load converters exhibit constant power load (CPL) behavior for the feeder converters and tend to destabilize the system. In this paper, the implementation of novel active-damping techniques on dc/dc converters has been shown. Moreover, the proposed active-damping method is used to overcome the negative impedance instability problem caused by the CPLs. The effectiveness of the new proposed approach has been verified by PSpice simulations and experimental results.
422 citations
TL;DR: In this article, the authors presented a survey regarding published papers on why the microgrid is required, and what the components and control systems are which constitute the actual microgrid studies, and proposed a standard microgrid for better power quality and optimizing energy generation.
284 citations
TL;DR: The proposed fuzzy control scheme is evaluated by computer simulations as well as experimental measurements of the closed-loop performance of simple DC/DC power converters in respect of load regulation and line regulation.
Abstract: The design of a fuzzy logic controller for DC/DC power converters is described in this paper. A brief review of fuzzy logic and its application to control is first given. Then, the derivation of a fuzzy control algorithm for regulating DC/DC power converters is described in detail. The proposed fuzzy control scheme is evaluated by computer simulations as well as experimental measurements of the closed-loop performance of simple DC/DC power converters in respect of load regulation and line regulation.
272 citations
TL;DR: In this paper, a slidingmode duty-ratio controller (SMDC) is proposed for dc/dc buck converters with constant power loads, which is able to stabilize the dc power systems over the entire operating range in the presence of significant variations in the load power and input voltage.
Abstract: Incorporating a medium-voltage dc (MVDC) integrated power system is a goal for future surface combatants and submarines. In an MVDC shipboard power system, dc/dc converters are commonly employed to supply constant power to electric loads. These constant power loads have a characteristic of negative incremental impedance, which may cause system instability during disturbances if the system is not properly controlled. This paper proposes a sliding-mode duty-ratio controller (SMDC) for dc/dc buck converters with constant power loads. The proposed SMDC is able to stabilize the dc power systems over the entire operating range in the presence of significant variations in the load power and input voltage. The proposed SMDC is validated by both simulation studies in MATLAB/Simulink and experiments for stabilizing a dc/dc buck converter with constant power loads. Simulation studies for an MVDC shipboard power system with constant power loads for different operating conditions with significant variations in the load power and supply voltage are also provided to further demonstrate the effectiveness of the proposed SMDC.
225 citations