Neutral point potential balance of three-level inverter based on parameters self-tuning fuzzy logic control strategy

2010 ◽  
Author(s):  
Enli Du ◽  
Ligao He ◽  
Xu Li ◽  
Yanlin Ma
Keyword(s):  
Fuzzy Logic ◽  
Control Strategy ◽  
Fuzzy Logic Control ◽  
Neutral Point ◽  
Logic Control ◽  
Point Potential ◽  
Self Tuning

Neutral Point Potential Balance of Dual Three-Level Converter Based on Fuzzy Logic Control Strategy

2014 ◽  
Vol 644-650 ◽  
pp. 3788-3792
Author(s):  
Xiao Lin Zhang ◽  
Jing Bo Shi
Keyword(s):  
Fuzzy Logic ◽  
Fuzzy Logic Control ◽  
Neutral Point ◽  
Logic Control ◽  
Point Potential ◽  
The Status ◽  
Four Quadrant ◽  
Balance Factor ◽  
Level Converter ◽  
The Relationship

In dual three-level converter system, the rectifier and inverter have unified problems of the neutral point potential imbalance.This paper analyzed the reasons of imbalance of neutral point potential in detail and summarized the relationship between vector status and four-quadrant status of three-level converters.Then a method based on fuzzy logic control (FLC) is proposed,which could be automatically adjust the balance factor.Combined the balance factor with the status of the converter the duration of positive and negative small vectors action could be obtained.Finally the balance of the neutral point potential is achieved.This method could be generally used on rectifier and inverter.At last, the simulation was done on both inverter and rectifier side.The results verified the feasibility of the proposed method.

Optimized Fuzzy Logic Control Strategy for Parallel Hybrid Electric Vehicle Based on Genetic Algorithm

2013 ◽  
Vol 274 ◽  
pp. 345-349 ◽  
Author(s):  
Mei Lan Zhou ◽  
Deng Ke Lu ◽  
Wei Min Li ◽  
Hui Feng Xu
Keyword(s):  
Genetic Algorithm ◽  
Fuzzy Logic ◽  
Electric Vehicle ◽  
Control Strategy ◽  
Fuzzy Logic Control ◽  
Hybrid Electric Vehicle ◽  
Fuzzy Rule ◽  
Rule Base ◽  
Membership Functions ◽  
Logic Control

For PHEV energy management, in this paper the author proposed an EMS is that based on the optimization of fuzzy logic control strategy. Because the membership functions of FLC and fuzzy rule base were obtained by the experience of experts or by designers through the experiment analysis, they could not make the FLC get the optimization results. Therefore, the author used genetic algorithm to optimize the membership functions of the FLC to further improve the vehicle performance. Finally, simulated and analyzed by using the electric vehicle software ADVISOR, the results indicated that the proposed strategy could easily control the engine and motor, ensured the balance between battery charge and discharge and as compared with electric assist control strategy, fuel consumption and exhaust emissions have also been reduced to less than 43.84%.

A Fuzzy Logic Control Strategy for Buck PFC Converter Based 4- Switch VSI Fed BLDC Motor Drive

2016 ◽  
Vol 6 (4) ◽  
pp. 1470 ◽  
Author(s):  
V. Ramesh ◽  
Y. Kusuma Latha
Keyword(s):  
Fuzzy Logic ◽  
Control Strategy ◽  
Fuzzy Logic Control ◽  
Step Change ◽  
Brushless Dc Motor ◽  
Motor Drive ◽  
Bldc Motor ◽  
Brushless Dc ◽  
Logic Control ◽  
Converter Topology

<p>In this paper, a new Buck PFC dc–dc converter topology along with fuzzy logic control for a permanent magnet (PM) brushless dc motor (PMBLDCM) has been proposed. The proposed buck-PFC converter topology is on single stage power factor correction converter. A concept of dc link voltage control which is proportional to speed of the PMBLDCM is used in this paper. The stator currents of the PMBLDCM during step change in the reference speed are controlled within the specified limits by an addition of a rate limiter in the reference dc link voltage. The effectives of the proposed control strategy of PMBLDCM drive is validated through simulation results.</p>

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