Sugeno模糊控制器与基于mamdani的pi型模糊逻辑推理模型的比较研究

N. Tri, Nguyen Ngoc Khoat
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引用次数: 0

摘要

基于模糊逻辑的控制方案由于其不需要精确的模型,只需依靠专家的经验等无可否认的优点,已被选择为PI和PID等传统调节器的完美替代品。从这些模糊逻辑结构中,值得注意的是,类pi的Mamdani和基于Sugeno的推理模型在学术研究中得到了广泛应用。本文着重对两者进行理论分析和比较。为了证明所提出的控制策略的适用性,文中还以某水电站在各种负荷变化情况下的速度控制为例进行了分析。这被认为是水电站运行和稳定最关键的控制策略之一。结果表明,在处理发电机转速控制问题时,采用类pi的Sugeno模糊控制器,在Matlab/Simulink软件中得到的仿真结果优于传统PID和基于Mamdani的模糊控制器
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Research on a Sugeno Fuzzy Logic Controller Compared to a Mamdani-Based PI-Type Fuzzy Logic Inference Model
Fuzzy logic – based control schemes have been selected as a perfect replacement for traditional regulators e.g. PI and PID due to their undeniable advantages such as no need of exact model and only depending upon expert’s experiences. It should be prominent in use from these fuzzy logic structures the PI-like Mamdani and Sugeno – based inference models have been widely used in academic studies. This paper focuses on creating a theoretical analysis and comparison for both of them. A typical case study regarding the speed control of a hydropower plant against various load changes is taken into consideration in order to demonstrate the applicability of the proposed control strategy. This is considered to be one of the most crucial control strategies for operation and stability of a hydropower plant. It was found that a lot of promising simulation results obtained by using Matlab/Simulink software when applying the PI-like Sugeno fuzzy logic controller are superior to those of the existing counterparts such as conventional PID and Mamdani – based one in dealing with the generator’s speed control problem presented in this study
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