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Designing a fuzzy sliding mode controller for a three-phase inverter via genetic algorithm

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Abstract

In a three-phase inverter, if the electricity consumers’ loads are not equal, balance will be disturbed and switching will be challenged. To overcome this problem, herein, a fuzzy sliding mode control is proposed to control the output voltages of a three-phase inverter. Control methods for commanding IGBTs have advantages over methods such as PWM and SVM as the effect of errors and uncertainties is neutralized by measuring the output error. Sliding mode control has long been used to control systems with uncertainty in modeling. This controller is robust because they provide sliding conditions by generating discontinuous control signals around the sliding surface. Despite these advantages, sliding mode control has its drawbacks. A popular method to solve these problems is fuzzy control, which promotes controller performance. In addition to paying attention to reducing the output error in inverters, changes in the state of switches should also be considered. In practice, the power loss increases and the inverter efficiency decreases, with increasing the disconnection and reconnection of IGBTs. In the present study, a multi-objective genetic algorithm is used so as to select the optimal control coefficients, in such a way that a compromise is made between the error and the number of times the keys are connected and disconnected.

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Authors and Affiliations

  1. Department of Mechanical Engineering, Tarbiat Modares University, Jalal AleAhmad Highway, Nasr Bridge, P.O. Box: 14115-111, Tehran, Iran

    Babak Taran

  2. Department of Electrical, University of Zanjan, Zanjan, Iran

    Hamed Mohajeri

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  1. Babak Taran
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  2. Hamed Mohajeri
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Correspondence to Babak Taran.

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Taran, B., Mohajeri, H. Designing a fuzzy sliding mode controller for a three-phase inverter via genetic algorithm. Int. J. Dynam. Control 11, 2452–2465 (2023). https://doi.org/10.1007/s40435-023-01143-3

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  • DOI: https://doi.org/10.1007/s40435-023-01143-3

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