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Control parameters optimization for PM DC motor in photovoltaic applications

机译:光伏应用中永磁直流电动机的控制参数优化

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Electric machines supplied by solar energy is increasingly attracting attention due to sustainability, clean and silence considerations. The efficiency of the machine drive is particularly important to reduce the overall system cost and maximize the energy utilization. Thus, this paper presents a modified and an optimized drive system control for a permanent magnet brushed (PMB) DC motor coupled with a mechanical pump for Photovoltaic (PV) water pumping applications. The proposed modification provides voltage protection and regulation for the motor to achieve the optimal performance with simple and low cost control implementation. The voltage regulation is control based avoiding the use of batteries and reducing cost. Also, a control parameters optimization is conducted to maximize the energy conversion efficiency for the whole system. The proposed optimization is based on genetic algorithm (GA) coupled with a Simulink Simpower simulation. Finally, the system is simulated and experimentally tested to validate the proposed drive.
机译:出于可持续性,清洁和静音方面的考虑,由太阳能提供的电机越来越受到关注。机器驱动器的效率对于降低总体系统成本和最大程度地提高能源利用率尤其重要。因此,本文提出了一种针对永磁有刷(PMB)直流电动机和机械泵的改进和优化的驱动系统控制,该电动机与用于光伏(PV)水泵应用的机械泵配合使用。提出的修改方案为电动机提供了电压保护和调节,以实现简单且低成本的控制实现最佳性能。电压调节是基于控制的,避免了使用电池并降低了成本。而且,进行控制参数优化以使整个系统的能量转换效率最大化。拟议的优化基于遗传算法(GA)和Simulink Simpower仿真。最后,对该系统进行了仿真和实验测试,以验证所提出的驱动器。

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