Abstract
In this paper, the multilevel inverter (MLI) harmonic filter with modified modulation and advanced intelligent control scheme is described and implemented. The proposed scheme has three artificial intelligence-based controllers that are used for harmonic excerption, ripple reduction in dc capacitor voltage, and modulation, respectively. The artificial neural network (ANN) is applied for separating harmonic constituents from load, and fuzzy logic concept is utilized for dc capacitor voltage ripple minimization and current error adaptation for modulation. Further, the level-shifted multicarrier modulation is modified for balanced switching by rotating carriers for generating gate pulses for devices of inverter. The cascaded H-bridge topology of MLI is selected as filter due to its modular and compact structure. The instantaneous power theory is altered by using neural network for obtaining corrupted portion from load current and calculating reference values for compensation. The simulation model is developed by using MATLAB/SIMULINK, and hardware module is executed using dSPACE DS1103. The simulation performance is analyzed for various load conditions including transient states. The proposed topology performance is justified for its efficiency and viability through exhaustive simulation and experimentation. The total harmonic distortion in source current (THD i ), power factor, and voltage ripples is being used as evaluation criteria to quantify the results.
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Mahajan, V., Agarwal, P. & Gupta, H.O. Implementation of High-Voltage Multilevel Harmonic Filter Based on Rotated Carrier Modulation and Artificial Intelligence-Based Controllers. Arab J Sci Eng 39, 7127–7143 (2014). https://doi.org/10.1007/s13369-014-1280-7
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DOI: https://doi.org/10.1007/s13369-014-1280-7