A Complete Online Solution of Harmonic Elimination PWM Method Using Modified-Equilibrium Optimizer-Levenberg- Marquardt Algorithm
نویسندگان
چکیده
This paper proposes a novel online solution, i.e. Modified-Equilibrium Optimizer-Levenberg-Marquardt (M-EO-LM) algorithm, for the symmetric and asymmetric harmonic elimination pulse width modulation (HEPWM) methods of modular multilevel cascaded converters. A detailed comparison proposed M-EO-LM algorithm with nine state-of-the-art algorithms is also presented twenty-nine unimodal, multimodal composite benchmark test functions. has proven its effectiveness by outperforming these algorithms. EO first introduced solution HEPWM method. Its several depicts superiority; but it gets stuck in local minima. Modified-EO (M-EO) solves problem enhancing exploration ability, then attached to rapid calculus-based LM method form algorithm. initiates process solving equations angles ( $N=9$ notation="LaTeX">$0.78\leq M\leq 6.86$ ) offline only two iterations, depicting remarkable convergence ability. Solution are divided into groups, serving as search space between nearest level based on output voltage THD values provided report maximum number solvable complete solution. These notation="LaTeX">$N=8$ M< 5.18$ solved using Comparing computational times differential evolution-Newton Raphson proves behavior validated through simulation real-time experimental results.
منابع مشابه
A modified Levenberg–Marquardt algorithm for quasi-linear geostatistical inversing
The Quasi-Linear Geostatistical Approach is a method of inverse modeling to identify parameter fields, such as the hydraulic conductivity in heterogeneous aquifers, given observations of related quantities like hydraulic heads or arrival times of tracers. Derived in the Bayesian framework, it allows to rigorously quantify the uncertainty of the identified parameter field. Since inverse modeling...
متن کاملA Modified Levenberg-Marquardt Method for the Bidirectional Relay Channel
This paper presents an optimization approach for a system consisting of multiple bidirectional links over a two-way amplify-and-forward relay. It is desired to improve the fairness of the system. All user pairs exchange information over one relay station with multiple antennas. Due to the joint transmission to all users, the users are subject to mutual interference. A mitigation of the interfer...
متن کاملLevenberg Marquardt ( LM ) Algorithm 1 –
1 – Introduction Parameter estimation for function optimization is a well established problem in computing, as there are countless applications in practice. For this work, we will focus specifically in implementing a distributed and parallel implementation of the Levenberg Marquardt algorithm, which is a well established numerical solver for function approximation given a limited data set. Para...
متن کاملModified Levenberg-Marquardt Method for Neural Networks Training
In this paper a modification on Levenberg-Marquardt algorithm for MLP neural network learning is proposed. The proposed algorithm has good convergence. This method reduces the amount of oscillation in learning procedure. An example is given to show usefulness of this method. Finally a simulation verifies the results of proposed method. Keywords—Levenberg-Marquardt, modification, neural network,...
متن کاملAnalysis of Gamma-Ray Spectra Using Levenberg-Marquardt Method
Abstract—Levenberg-Marquardt method (LM) was proposed to be applied as a non-linear least-square fitting in the analysis of a natural gamma-ray spectrum that was taken by the Hp (Ge) detector. The Gaussian function that composed of three components, main Gaussian, a step background function and tailing function in the lowenergy side, has been suggested to describe each of the -ray lines mathem...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
ژورنال
عنوان ژورنال: IEEE Access
سال: 2023
ISSN: ['2169-3536']
DOI: https://doi.org/10.1109/access.2023.3274607