Experimental Validation of a Fuzzy Adaptive Voltage Controller for Three-Phase PWM Inverter of a Standalone DG Unit

Dang, Dong Quang; Choi, Young-Sik; Choi, Han Ho; Jung, Jin‐Woo

doi:10.1109/tii.2015.2416981

Cited by 36 publications

(12 citation statements)

References 33 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…The controller will face two uncertainties, which are the intermittent character of the photovoltaic (PV) source as the DC voltage input due to various temperature and the solar irradiance and disturbances that mainly due to the load dynamics that are affected by connection and disconnection of the load(s). Point common coupling (PCC) connects or disconnects microgrid to the leading network, where the exchange power becomes possible [18]. This point also connects the grid to the load.…”

Section: Methodsmentioning

confidence: 99%

“…Proportional-integral (PI) control scheme is commonly used for voltage regulation in power systems, but it has difficulties with the sensitivity of the various values of the parameters and also with non-linearity of the system. Another approach using Fuzzy adaptive [18] presents its superiority by comparing to the proportionalderivate control scheme. The fuzzy logic approach is also proposed in [19] using fix DC source.…”

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

Fuzzy-IP Controller for Voltage Regulation in a Stand-Alone Microgrid System

Panjaitan

Sanjaya

Kurnianto

2018

IREACO

View full text Add to dashboard Cite

This paper presents a method that combines fuzzy inference system and Integral-Proportional named Fuzzy-IP controller to regulate an independent microgrid voltage with a distributed energy resource unit. The unit employed photovoltaic (PV) array with DC voltage converted to three-phase AC voltage. The control design was carried out through modeling and simulation using Matlab software environment. Transfer function with the 2×2 structure using system identification has estimated the non-linear plant model. Two controllers transformed the ab-c to the d-q axis coordinates of voltage to simplify linear control design. An oscillator is applied to set frequency according to the recommendation. The results show that the compensated casestudy system using Fuzzy-IP with disturbance tracked the setpoint excellently and it regulated the voltage properly including frequency control using internal oscillator. The paper presents performance superiority of the proposed method over PI control by comparing the transient response, the mean squared error, and the root mean squared error.

show abstract

Section: Methodsmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Fuzzy-IP Controller for Voltage Regulation in a Stand-Alone Microgrid System

Panjaitan

Sanjaya

Kurnianto

2018

IREACO

View full text Add to dashboard Cite

show abstract

“…Among several membership functions to define fuzzy sets, few commonly used are triangular, guassian and trapezoidal etc. In this work, triangular membership functions are used as they are more effective to achieve a better transient response [7].…”

Section: Fuzzy Logic Controllermentioning

confidence: 99%

Fuzzy Logic Controller for Three Phase PWM AC-DC Converter

2017

JEEEM

View full text Add to dashboard Cite

Abstract. This paper discusses control strategy for the voltage regulation of a three phase pulse width modulation (PWM) AC-DC converter. A fuzzy logic controller (FLC) is employed in the outer voltage loop. Fuzzy logic controllers are preferred over the conventional proportional integral (PI) controllers because they are based on linguistic description and do not require a prior mathematical model of the system. The objective of the presented control system is to regulate the output DC voltage during both transient and steady state period. Also the line currents drawn from the grid should be sinusoidal and in phase with respective phase voltages to achieve a low total harmonic distortion (THD) and unity power factor. PI and FLC based control systems are implemented for three phase PWM AC-DC converter in MATLAB/Simulink and dynamic performance of the system is tested. The results demonstrate that compared to the conventional PI, the FLC based system is more robust and has a much better dynamic response. The low value of THD and sinusoidal current response ensures the system avoids polluting the utility grid.

show abstract

“…That is, a control design usually forfeits its optimized performance to achieve the robustness [16]. In comparison with other advanced nonlinear control methods such as nonlinear optimal control [17], adaptive control [18], sliding-mode control [19], artificial intelligence-based control [20], and feedback linearization control [21], the prominent advantage of the finite-set (FS) MPC in power electronics is to achieve the optimality and complicated-constraints inclusion [2], [3], [14]. In general, the MPC offers a straightforward approach to optimize the control performance by directly solving the optimization problem derived from a model based prediction [22], [23].…”

Section: Introductionmentioning

confidence: 99%

Improved Model Predictive Control by Robust Prediction and Stability-Constrained Finite States for Three-Phase Inverters With an Output $LC$ Filter

2019

Self Cite

View full text Add to dashboard Cite

This paper proposes an improved model predictive control (MPC) scheme with a robust prediction and stability-constrained finite states for three-phase voltage source inverters (3φ-VSIs) with an LC filter. In this paper, the stability-constrained finite states are selected via the asymptotic stability conditions as a key factor to reduce the total harmonic distortions (THDs) and steady-state errors. Meanwhile, the Kalman filter-based observers improve the overall robustness against model mismatches and noises via a robust prediction. To select the stabilized finite states, the stability conditions are derived by the equivalent feedback-gains and constrained in the exhausting search of the proposed finite-set (FS) MPC. Unlike conventional FS-MPC methods, three control targets (i.e., robustness, stability, and optimality) are simultaneously achieved as the new contributions to remarkably enhance the voltage control performance of the 3φ-VSI, which are also the challenge of the conventional control methods. To verify the superiority of the proposed FS-MPC, comparative studies are conducted on a prototype three-wire 3φ-VSI system with a TI TMS320F28335 DSP under practical conditions (i.e., parameter mismatches, linear/nonlinear-load step-changes). The experimental results confirm that the performance of the proposed FS-MPC has been significantly improved in terms of lower THDs, smaller steady-state errors, faster dynamic response, and more robustness under critical system changes as compared with the conventional FS-MPC. INDEX TERMS Asymptotic stability, finite-set model predictive control (FS-MPC), outputLC filter, robust prediction, three-phase voltage source inverter (3φ-VSI).

show abstract

Experimental Validation of a Fuzzy Adaptive Voltage Controller for Three-Phase PWM Inverter of a Standalone DG Unit

Cited by 36 publications

References 33 publications

Fuzzy-IP Controller for Voltage Regulation in a Stand-Alone Microgrid System

Fuzzy-IP Controller for Voltage Regulation in a Stand-Alone Microgrid System

Fuzzy Logic Controller for Three Phase PWM AC-DC Converter

Improved Model Predictive Control by Robust Prediction and Stability-Constrained Finite States for Three-Phase Inverters With an Output $LC$ Filter

Contact Info

Product

Resources

About