ANFIS based SHEPWM in Multilevel Inverter Using Generalized Hopfield Neural Network
Rs3,000.00
10000 in stock
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A 7-Level Inverter was designed and implemented using SHE-PWM technique. The switching instants for SHEPWM involves the solution of nonlinear algebraic transcendental equations. An energy function is formulated for this set of nonlinear algebraic transcendental equations describing the behavior of Generalized Hopfield Neural Network (GHNN) is obtained. The solution of an energy function is redrafted as an optimization problem, and it is solved by using GHNN. Though, in principle, the n number of harmonics can be eliminated using the presented methodology, this work tries for the case of the elimination of the 5th-, 7th-, 11th-, and 13th-order harmonics while retaining the desired fundamental in the output voltage for 7 level inverter. A MATLAB simulation carried out and the fast Fourier transform analysis of the simulated output voltage waveform confirms the effectiveness of the proposed method. An effectiveness of the proposed method is validated using MATLAB simulation.
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