Harmonic Elimination in Uniform Step Nine-Level Inverter Using Differential Evolution: Experimental Validation

This study presents the application of differential evolution algorithm to compute optimal switching angles for a single-phase nine-level inverter to improve the output voltage quality. The topology of the proposed inverter in this article is a simple cascade converter composed of two H-bridge cells with non-equal DC voltage sources in order to generate multiple voltage levels. Selective harmonic elimination pulse width modulation strategy is used to improve the generated AC output voltage waveform. The differential evolution optimization algorithm is used to solve non-linear transcendental equations necessary for the (SHPWM). Computational results obtained from computer simulations presented a good agreement with the theoretical predictions. A laboratory prototype based on STM32F407 microcontroller was built in order to validate the simulation results. The experimental results show the effectiveness of the proposed modulation method.

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Differential Evolution Algorithm with Triangular Adaptive Control Parameter for SHEPWM Switching Pattern Optimization

International Journal of Power Electronics and Drive Systems (IJPEDS) ◽

10.11591/ijpeds.v8.i3.pp1381-1388 ◽

2017 ◽

Vol 8 (3) ◽

pp. 1381

Author(s):

Ismail Yusuf ◽

Ayong Hiendro ◽

F. Trias Pontia Wigyarianto ◽

Kho Hie Khwee

Keyword(s):

Adaptive Control ◽

Differential Evolution ◽

Control Parameter ◽

Pulse Width Modulation ◽

Differential Evolution Algorithm ◽

De Algorithm ◽

Harmonic Elimination ◽

Switching Patterns ◽

Convergence Process ◽

Speed Up

Differential evolution (DE) algorithm has been applied as a powerful tool to find optimum switching angles for selective harmonic elimination pulse width modulation (SHEPWM) inverters. However, the DE’s performace is very dependent on its control parameters. Conventional DE generally uses either trial and error mechanism or tuning technique to determine appropriate values of the control paramaters. The disadvantage of this process is that it is very time comsuming. In this paper, an adaptive control parameter is proposed in order to speed up the DE algorithm in optimizing SHEPWM switching angles precisely. The proposed adaptive control parameter is proven to enhance the convergence process of the DE algorithm without requiring initial guesses. The results for both negative and positive modulation index (<em>M</em>) also indicate that the proposed adaptive DE is superior to the conventional DE in generating SHEPWM switching patterns

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Tunnel Engineering Seepage Parameters Intelligent Back Analysis Based on FEM and Differential Evolution Algorithm

The Open Civil Engineering Journal ◽

10.2174/1874149501610010641 ◽

2016 ◽

Vol 10 (1) ◽

pp. 641-652 ◽

Cited By ~ 1

Author(s):

C.J. Ma ◽

A.N. Jiang ◽

Q. Wang

Keyword(s):

Differential Evolution ◽

Continuous Medium ◽

Water Pressure ◽

Differential Evolution Algorithm ◽

Back Analysis ◽

Finite Element Models ◽

Seepage Analysis ◽

C Language ◽

Evolution Algorithm ◽

Good Agreement

To determine the seepage parameters of surrounding rock during excavation of tunnels, a program of groundwater seepage (SEEP) was developed. Then finite element models are established in SEEP with the consideration of seepage equations for continuous medium, and the correctness was verified by the comparison of FLAC3D. Moreover, seepage back analysis program (SBAP) was developed in C++ language by combining differential evolution algorithm (DE) and SEEP, and the measured values of water pressure and flow were used as input data, SBAP was applied to predict the horizontal and vertical hydraulic conductivities of the different stratum. The hydraulic conductivities predicted were inputted to SEEP, the computed values of water pressure and flow calculated by SEEP are in good agreement with the measured values. SBAP shows the faster convergence speed and precise feedback results. This program provides a means for engineers and researchers to determine seepage parameters in the seepage analysis of similar tunnel projects.

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Differential Evolution Algorithm Used for Parameters Reconstruction of Fiber Gratings

Advanced Materials Research ◽

10.4028/www.scientific.net/amr.422.87 ◽

2011 ◽

Vol 422 ◽

pp. 87-90

Author(s):

Xiao Yan Wen ◽

Yu Qian ◽

Nie Fei

Keyword(s):

Differential Evolution ◽

Differential Evolution Algorithm ◽

Structure Parameters ◽

Reflection Spectra ◽

Fiber Gratings ◽

Numerical Examples ◽

Reverse Problem ◽

De Algorithm ◽

Evolution Algorithm ◽

Good Agreement

Differential Evolution (DE) algorithm has been used to solve the reverse problem of fiber gratings, namely, reconstructing the structure parameters of uniform and chirped fiber gratings from the target reflection spectra. The reconstructed parameters and corresponding spectra are in good agreement with the target ones. Numerical examples demonstrate the highly efficiency and accuracy of DE algorithm in solving the reverse problem of fiber Gratings.

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