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Investigation on Fuzzy Logic-Based Self-Tuning Current Controller Applications in HVDC Links

机译:基于模糊逻辑的自整定电流控制器在高压直流输电线路中的应用研究

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This paper describes the effect of different defuzzification methods (DFMs) and membership functions (MFs) on the fuzzy logic-based self-tuning current controller applications in an HVDC link. The CIGRE HVDC Benchmark system and control features are modeled using the SimPowerSystem toolbox and the available blocks In the MATLAB/SIMULINK庐. The fuzzy logic-based self-tuning controller is designed using the fuzzy logic toolbox in the MATLAB庐. A comparative study is conducted between the fixed-gain controller and the fuzzy tuning controllers. This paper also presents the effect of the number of rules on the fuzzy logic-based self-tuning controller in an HVDC link. The results reveal that fuzzy tuned PI controller recovers the system from the faults faster than the traditional PI controller with fewer oscillations, and consecutively has less commutation failures.
机译:本文介绍了不同的解模糊方法(DFM)和隶属函数(MF)对HVDC链路中基于模糊逻辑的自调节电流控制器应用的影响。使用SimPowerSystem工具箱和MATLAB /SIMULINK®中的可用块对CIGRE HVDC Benchmark系统和控制功能进行了建模。基于模糊逻辑的自整定控制器是使用MATLAB®中的模糊逻辑工具箱设计的。在固定增益控制器和模糊调节控制器之间进行了比较研究。本文还介绍了规则数量对高压直流输电线路中基于模糊逻辑的自整定控制器的影响。结果表明,与传统的PI控制器相比,模糊调节的PI控制器从故障中恢复系统的速度更快,振荡更少,并且连续出现的换向故障也更少。

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