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New approach of intelligent technique to Optimize Maximum power point tracking with PID controller by using the algorithm of fuzzy inference system

机译:用模糊推理系统算法优化PID控制器最大功率点跟踪的智能技术的新方法

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in this paper, new approach for maximum power point tracking MPPT with Proportional-Integral-Derivate PID controller is proposed to optimize the system. However, the main problem of classical MPPT is that the MPPT needs always to adjust voltage and current to obtained maximum output power which causes high steady state error and low response with oscillation fro photovoltaic system. Therefore, to improve the system performance, PID controller with fuzzy inference system FIS is proposed to minimize the steady state error and to decrease the rising time with no oscillation for current and voltage for whole system. The simulation results demonstrate that the system of MPPT based on FIS-PID is more effective and more accuracy with high efficiency as compared with traditional MPPT for photovoltaic system.
机译:在本文中,提出了具有比例积分衍生PID控制器的最大功率点跟踪MPPT的新方法来优化系统。 然而,经典MPPT的主要问题是MPPT需要始终需要调节电压和电流以获得最大输出功率,这导致高稳态误差和具有振荡光伏系统的低响应。 因此,为了提高系统性能,提出了具有模糊推理系统FIS的PID控制器,以最小化稳态误差,并降低升高时间,对于整个系统的电流和电压没有振荡。 模拟结果表明,与FIS-PID的MPPT系统更有效,更准确,与光伏系统的传统MPPT相比,高效率。

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