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Research of the Inverter Control Strategy Based on the Ant Colony Algorithm and the Fuzzy Control Method

机译:基于蚁群算法和模糊控制方法的逆变器控制策略研究

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This paper proposes a hybrid control strategy of single-phase inverter, and it makes combination the fuzzy control technology and instantaneous feedback control technology of the current, and it solves the problem of load uncertainty and load model is difficult to established. Through ant colony optimization algorithm the problem that control parameters to solve the problem of the fuzzy control are depended on expert experience is solved. And on the basis of fuzzy voltage outer, the loop current inner loop is added, and through using current loop, it can effectively restrain the load disturbance, current limiting step in the current inner ring at the same time, thus it solve the inverter power supply for impact load adaptability. It not only can make the inverter power supply system output high quality steady-state voltage waveform, but also it can get fast dynamic response. Finally under the environment of Matlab simulation, the simulation results are demonstrated, the feasibility and effectiveness of the proposed compound control strategy are also verfied.
机译:本文提出了一种单相逆变器的混合控制策略,将电流的模糊控制技术和瞬时反馈控制技术相结合,解决了负荷不确定性和负荷模型难以建立的问题。通过蚁群优化算法,解决了模糊控制问题中的控制参数依赖专家经验的问题。并且在模糊电压外部的基础上,增加了环路电流内部环路,并通过使用电流环路,可以有效地抑制负载干扰,同时限制了电流内部环路中的限流步长,从而解决了逆变电源提供冲击载荷适应性。它不仅可以使逆变器电源系统输出高质量的稳态电压波形,而且可以获得快速的动态响应。最后在Matlab仿真环境下,对仿真结果进行了验证,验证了所提复合控制策略的可行性和有效性。

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