感应电机驱动太阳能光伏水泵系统的分散T-S模糊控制

Z. B. Safia, M. Allouch, M. Chaabane
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引用次数: 3

摘要

本文提出了一种分散的高木Sugeno (T-S)控制方案,该方案由光伏发电机(PVG)通过DC-DC升压变换器、DC-AC逆变器、感应电机耦合到离心泵供电。本文提出了一种用于最大功率点跟踪的T-S模糊控制器,用于可变太阳辐照和环境温度下的DC-DC升压变换器控制。采用基于观测器的T-S模糊控制器对IM进行控制,以保证其面向场的控制性能。根据MPP条件下提供的最佳PV功率,计算并传递最佳转速以控制IM,从而使所提出的PV抽水系统在最佳条件下运行,从而使每天的抽水量最大化。最后,给出了考虑各种气候条件变化的暂态和稳态运行的仿真结果,验证了所设计的分散控制器的有效性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Decentralized T-S Fuzzy Control for Solar PV Powered Water Pumping System Driving by Induction Motor
This paper presents a decentralized Takagi Sugeno (T-S) control scheme for a PV powered water pumping system, which is composed of a photovoltaic generator (PVG) supplying via a DC-DC boost converter, a DC-AC inverter, an Induction Motor coupled to a centrifugal pump. A T-S fuzzy controller is developed for MPPT (Maximum Power Point Tracking) to control the DC-DC boost converter, under variable solar irradiation and ambient temperature. An observer-based T-S fuzzy controller is dedicated to control the IM to guarantee the field-oriented control performances. From the optimal PV power provided in the MPP conditions, the optimal speed is calculated and delivered to control the IM, so that the proposed PV pumping system operates in optimal conditions and thus, maximizes the quantity of water pumped daily. Finally, simulation results are presented for both transient and steady state operation while taking into account all changes in climatic conditions, in order to validate the efficiency of the developed decentralized controller.
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