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T-S model based fuzzy logic controller for AGC system after deregulation

机译:放松后基于T-S模型的AGC系统模糊逻辑控制器

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A novel fuzzy logic controller based on T-S model is proposed for automatic generation control (AGC) system after deregulation. Since the AGC system is now exposed to sudden, larger changes introduced by deregulation policy, the nonlinearity must be concerned. In this paper, the generation rate constraint (GRC) is firstly constructed in T-S model to design the fuzzy logic controller, while the valve position limits on the governor are under consideration as well. Sufficient conditions for the asymptotic convergence of the whole system are provided in terms of linear matrix inequalities (LMI). The current control scheme is compared with conventional proportional and integral (PI) controller, and the comparison study indicates that the proposed fuzzy logic controller has better performance than the other while nonlinearity is concerned.
机译:提出了一种基于T-S模型的新型模糊逻辑控制器,用于自动调节后的自动发电控制系统。由于AGC系统现在面临放松管制政策带来的突然的,较大的变化,因此必须考虑非线性。本文首先在T-S模型中构建发电率约束(GRC),以设计模糊逻辑控制器,同时也考虑了调速器的阀位限制。就线性矩阵不等式(LMI)而言,提供了整个系统渐近收敛的充分条件。将电流控制方案与常规比例积分控制器进行比较,对比研究表明,在考虑非线性的前提下,所提出的模糊控制器具有更好的性能。

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