FPGA based on-line Artificial Neural Network Selective Harmonic Elimination PWM technique

2015 ◽  
Vol 68 ◽  
pp. 33-43 ◽  
Author(s):  
Amar Guellal ◽  
Cherif Larbes ◽  
Douadi Bendib ◽  
Linda Hassaine ◽  
Ali Malek
Keyword(s):  
Neural Network ◽  
Artificial Neural Network ◽  
Harmonic Elimination ◽  
Selective Harmonic Elimination ◽  
On Line ◽  
Artificial Neural

scholarly journals Enhance the accuracy of control algorithm for multilevel inverter based on artificial neural network

2020 ◽  
Vol 20 (3) ◽  
pp. 1148
Author(s):  
Mohammed Rasheed ◽  
Moataz M. A. Alakkad ◽  
Rosli Omar ◽  
Marizan Sulaiman ◽  
Wahidah Abd Halim
Keyword(s):  
Neural Network ◽  
Artificial Neural Network ◽  
Real Time ◽  
Optimization Technique ◽  
Harmonic Distortion ◽  
Multilevel Inverter ◽  
Multilevel Inverters ◽  
Harmonic Elimination ◽  
Selective Harmonic Elimination ◽  
Artificial Neural

<p>In converters or multilevel inverters it is very important to ensure that the output of the<br />multilevel inverters waveforms in term of the voltage or current of the waveforms is<br />smooth and without distortion. The artificial neural network (ANN) technique to<br />obtaining proper switching angles sequences for a uniform step asymmetrical modified<br />multilevel inverter by eliminating specified higher-order harmonics while maintaining<br />the required fundamental voltage and current waveform. However, through this paper a<br />modified CHB-MLI are proposed using artificial intelligence optimization technique<br />based on modulation Selective Harmonic Elimination (SHE-PWM). A most powerful<br />modulation technique that used to minimize a harmonic contants during the outout<br />waveform of multilevel inverter is a SHE-PWM method. The proposed a five-level<br />Modified Cascaded H-Bridge Multilevel Inverter (M-CHBMI) with ANN controller to<br />improve the output voltage and current performance and achieve a lower Total<br />Harmonic Distortion (THD). The main aims of this paper cover design, modeling,<br />prediction for real-time generation of optimal switching angles in a single-phase<br />topology of modified five level CHB-MLI. due to the heavy cost of computation to<br />solving transcendental nonlinear equations with specified number, a real-time<br />application of Selective Harmonic Elimination-Pulse Width Modulation (SHE-PWM)<br />technique is limited. SHE equations known as a transcendental nonlinear equation that<br />contain trigonometric functions. The prototype of a 5-level inverter in Digital Signal<br />Processing (DSP) TMS320F2812 reveals that the proposed method is highly efficient<br />for harmonic reduction in modified multilevel inverter.</p>

Artificial Neural Network and the Taguchi Method Application for Robust Wheatstone Bridge Design

1994 ◽  
Author(s):  
Jung-eui Hong ◽  
Cihan H. Dagli ◽  
Kenneth M. Ragsdell
Keyword(s):  
Neural Network ◽  
Artificial Neural Network ◽  
Wheatstone Bridge ◽  
Parameter Design ◽  
System Response ◽  
Measurement Circuit ◽  
Wide Range ◽  
Reduce Measurement Error ◽  
On Line ◽  
Artificial Neural

Abstract The primary function of the Wheatstone bridge is to measure an unknown resistance. The elements of this well-known measurement circuit will take on different values depending upon the range and accuracy required for a particular application. The Taguchi approach to parameter design is used to select values for the measurement circuit elements so as to reduce measurement error. Next we introduce the use of an artificial neural network to extrapolate limited experimental results to predict system response over a wide range of applications. This approach can be employed for on-line quality control of the manufacture of such device.

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