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• W1922893359 abstract "This paper proposes a particle swarm optimization algorithm tuned fuzzy terminal sliding mode control for the appli- cation of UPS inverters. Though classic sliding mode control (SMC) is insensitive to system uncertainties, it possesses an infinite system-state convergence time. For high-accuracy tracking control, a terminal sliding mode control (TSMC) is developed to provide a finite system-state convergence time. However, difficult estimation occurs in TSMC, and incurs high UPS inverter voltage harmonics and slow dynamic response. To obtain high-quality UPS inverter output voltage, a fuzzy logic (FL) with a computationally simple and practically easy estimator is integrated into TSMC to resolve system uncertainties. Simultaneously, the particle swarm optimization (PSO) algorithm is applied to optimally tune the control gains of the TSMC with a fuzzy estimator. Results indicate that the presented combination of PSO, FL and TSMC yields a closed-loop UPS inverter with good performance under various loading conditions. Simulation and experimental results indicate that the proposed control can achieve low total harmonic distortion (THD) under nonlinear loading conditions and fast dynamic response under transient loading conditions." @default.
• W1922893359 created "2016-06-24" @default.
• W1922893359 creator A5010546672 @default.
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• W1922893359 date "2015-10-30" @default.
• W1922893359 modified "2023-09-25" @default.
• W1922893359 title "Particle swarm optimization tuned fuzzy terminal sliding mode control for UPS inverters" @default.
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• W1922893359 doi "https://doi.org/10.3233/ifs-151949" @default.
• W1922893359 hasPublicationYear "2015" @default.
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