Description: 针对遗传算法的特点，提出一种用模糊控制的方法来调整交叉概率和变异概率的改进模糊遗传算法及其算法结构，并 将其应用于神经模糊控制器的综合优化设计。-For the characteristics of genetic algorithm, a method using fuzzy control to adjust the crossover probability and mutation probability of improving the fuzzy genetic algorithm and its algorithm structure, and applies a comprehensive neuro-fuzzy controller optimized. Platform: |
Size: 239616 |
Author:陆见 |
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Description: 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 controller performance, the paper design of fuzzy neural networks to a unified power flow controller Platform: |
Size: 256000 |
Author:唐传胜 |
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Description: A looper tension control system is common to many rolling processes.Con ventional tension controllers for mill actuation systems
are based on a rolling model.The y therefore cannot deal effectively with unmodeled dynamics and large parameter variations that can
lead to scrap runs and machinery damage.In this paper, this problem is tackled by designing a fuzzy controller that possesses different
tuning schemes for both off-line and on-line tuning of fuzzy control elements.It is shown that the proposed methods outperform
conventional control techniques.Fi nally, the effects of various design options are discussed and some practical remarks are made Platform: |
Size: 533504 |
Author:Diamant |
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Description: 利用matlab将PSO算法用来优化神经模糊网络控制器，并对比PID控制器和模糊控制器的性能结果。-Matlab PSO algorithm is used to optimize the neuro-fuzzy network controller, and compare the performance results of the PID controller and fuzzy controller. Platform: |
Size: 94208 |
Author:李飞 |
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Description: Power electronics plays an important role in controlling
the grid-connected renewable energy sources. This paper
presents a novel adaptive neuro-fuzzy control approach for
the renewable interfacing inverter. The main objective is to
achieve smooth bidirectional power flow and nonlinear unbalanced
load compensation simultaneously, where the conventional
proportional-integral controller may fail due to the rapid change
in the dynamics of the highly nonlinear system. The combined
capability of neuro-fuzzy controller in handling the uncertainties
and learning from the processes is proved to be advantageous
while controlling the inverter under fluctuating operating conditions.
The inverter is actively controlled to compensate the harmonics,
reactive power, and the current imbalance of a three-phase
four-wire (3P4W) nonlinear load with generated renewable power
injection into the grid simultaneously. Platform: |
Size: 20480 |
Author:hareesh |
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Description: This is a BS Final Year Project of electrical engineering which is about Design of a Neuro Fuzzy Logic Controller for Speed Control of a DC Motor in MATLAB. Platform: |
Size: 1217536 |
Author:Tanoli Khan |
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Description: In this paper, the application of Adaptive Neuro Fuzzy System (ANFIS) controller is used formitigating the
various Load Frequency Control (LFC) issues in a two area hydrothermal power system under deregulated
environment is highlighted. To improve the LFC performance, combination of Super Conducting Magnetic
Energy Source (SMES) and Thyristor Controlled Phase Shifters (TCPS) are included in its control area. The Platform: |
Size: 1084416 |
Author:Gomaa Haroun |
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Description: In this paper, the application of Adaptive Neuro Fuzzy System (ANFIS) controller is used formitigating the
various Load Frequency Control (LFC) issues in a two area hydrothermal power system under deregulated
environment is highlighted. To improve the LFC performance, combination of Super Conducting Magnetic
Energy Source (SMES) and Thyristor Controlled Phase Shifters (TCPS) are included in its control area. The Platform: |
Size: 1084416 |
Author:Gomaa Haroun |
Hits:
Description: In this paper, the application of Adaptive Neuro Fuzzy System (ANFIS) controller is used formitigating the
various Load Frequency Control (LFC) issues in a two area hydrothermal power system under deregulated
environment is highlighted. To improve the LFC performance, combination of Super Conducting Magnetic
Energy Source (SMES) and Thyristor Controlled Phase Shifters (TCPS) are included in its control area. The Platform: |
Size: 1084416 |
Author:Gomaa Haroun |
Hits:
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