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These set of programs are written to design a robust power system stabilizer for minimizing the effects of low frequency oscillations in electric power systems. A complete nonlinear model of the power system represented by a single machine connected
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摘要:为了减少先验知识对统一潮流控制器中模糊规则的设计和电力系统参数的变化对统一潮流控制器性能的影响, 文中采用模糊神经网络来设计统一潮流控制器-Abstract: In order to reduce a priori knowledge of the unified power flow controller in the fuzzy rules in the design and power system parameters on the unified power flow contr
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智能控制;BP神经网络算法;PID控制器MATLAB 仿真-Intelligent Control BP neural network algorithm MATLAB simulation, the PID controller
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This paper proposes a new MPPT controller. The proposed
MPPT controller is based on genetic algorithm (GA) optimized
artificial neural network (ANN). For the simulation purpose an
improved model of SPV is used. The MPPT is simulated and
studi
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The paper deals with a controller design for the nonlinear processes using genetic
algorithm and neural model. The aim was to improve the control performance using
genetic algorithm for optimal PID controller tuning. The plant model has been
id
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