标题：Particle swarm optimization tuned fuzzy terminal sliding mode control for UPS inverters
作者：Chang, En-Chih; Su, Zhiyi; Xu, Ziang; Wu, Rong-Ching
作者机构：[Chang, En-Chih; Xu, Ziang; Wu, Rong-Ching] I Shou Univ, Dept Elect Engn, Kaohsiung 84001, Taiwan.; [Su, Zhiyi] Shandong Univ, Sch Control Sci & Eng 更多
来源：JOURNAL OF INTELLIGENT & FUZZY SYSTEMS
关键词：Terminal sliding mode control (TSMC); finite system-state convergence; time; fuzzy logic (FL); particle swarm optimization (PSO); total; harmonic distortion (THD)
摘要：This paper proposes a particle swarm optimization algorithm tuned fuzzy terminal sliding mode control for the application 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.