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Parallel distribution compensation PID based on Takagi-Sugeno fuzzy model applied on egyptian load frequency control

机译:基于Takagi-Sugeno模糊模型的平行分配补偿PID应用于埃及负载频率控制

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This paper presents a new technique for a Takagi-Sugeno (TS) fuzzy parallels distribution compensation-PID'S (TSF-PDC-PID'S) to improve the performance of Egyptian load frequency control (ELFC). In this technique, the inputs to a TS Fuzzy model are the parameters of the change of operating points. The TS Fuzzy model can definite the suitable PID control for a certain operating point. The parameters of PID'S controllers are obtained by ant colony optimization (ACO) technique in each operating point based on an effective cost function. The system controlled by the proposed TSF-PDC-PID’S is investigated under different types of disturbances, uncertainty and parameters variations. The simulation results ensure that the TSF-PDC-PID'S can update the suitable PID controller at several operating points so, it has a good dynamic response under many types of disturbances compared to fixed Optimal PID controller.
机译:本文介绍了Takagi-Sugeno(TS)模糊平板分配补偿PID(TSF-PDC-PID)的新技术,以提高埃及负载频率控制(ELFC)的性能。在该技术中,TS模糊模型的输入是操作点变化的参数。 TS模糊模型可以确定适用于某个操作点的PID控制。 PID控制器的参数是通过基于有效成本函数的每个操作点中的蚁群优化(ACO)技术获得。由所提出的TSF-PDC-PID控制的系统在不同类型的干扰,不确定性和参数变化下进行研究。仿真结果确保TSF-PDC-PID可以在多个操作点更新合适的PID控制器,因此,与固定的最优PID控制器相比,它在许多类型的干扰下具有良好的动态响应。

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