DNA coding method and a mechanism of development for acquisition of fuzzy control rules

2002 ◽  
Author(s):  
T. Yoshikawa ◽  
T. Furuhashi ◽  
Y. Uchikawa
Keyword(s):  
Fuzzy Control ◽  
Dna Coding ◽  
Control Rules ◽  
Coding Method

An Asymmetric Fuzzy Method for MPPT Control of PV System

2011 ◽  
Vol 341-342 ◽  
pp. 323-327
Author(s):  
Xiu Ling Wang ◽  
Rong Sheng Meng
Keyword(s):  
Fuzzy Control ◽  
Control Method ◽  
Input Function ◽  
Pv System ◽  
Nonlinear Characteristics ◽  
Fuzzy Method ◽  
Photovoltaic Array ◽  
Solar Arrays ◽  
Control Rules ◽  
Output Characteristics

In this paper an Asymmetric Fuzzy Method for MPPT Control of PV System was described, which is focus on the nonlinear characteristics of solar arrays and it is necessary to create control rules that meet the output characteristics of the solar arrays. Asymmetric Fuzzy control method can solve this question: the input function and membership function reflect characteristics of photovoltaic array adequately, which is different from traditional symmetric fuzzy control. So we can adjust to the disturbance step according to the characteristics of photovoltaic array.

Application of Fuzzy Control in Transformer Cooling System

2011 ◽  
Vol 383-390 ◽  
pp. 1262-1266
Author(s):  
Zhen Guo Jia
Keyword(s):  
Control System ◽  
Energy Consumption ◽  
Fuzzy Control ◽  
Fuzzy Controller ◽  
Cooling System ◽  
Lookup Table ◽  
Control Rules ◽  
Cooling Control ◽  
System Energy ◽  
Automation Level

Designed a device with PLC and inverter for transformer cooling control system. The structure of fuzzy controller is built with PLC. By calculating and testing, fuzzy and fuzzy control rules are established. Practical computing for the PLC to control the output lookup table is given. Using this technique, transformer cooling system energy consumption will be reduced, transformer’s coolers life will be extended and transformer cooling system automation level will be increased.

Research on the Fuzzy PID Speed Control System of Permanent Magnet Linear Synchronous Motor Based on Genetic Algorithm

2014 ◽  
Vol 494-495 ◽  
pp. 1582-1586 ◽  
Author(s):  
Jun Liu ◽  
Qian Wei Xie
Keyword(s):  
Genetic Algorithm ◽  
Fuzzy Control ◽  
Pid Control ◽  
Linear Time ◽  
Fuzzy Pid ◽  
Fuzzy Pid Control ◽  
Fuzzy Pid Controller ◽  
Stability Performance ◽  
Control Rules ◽  
Genetic Algorithm Method

Focusing on the non-linear, time-varying, strong coupling and external load disturbance existing in PMLSM, a fuzzy PID controller based on genetic algorithms is designed to control the speed of PMLSM by absorbing the advantages of PID control and fuzzy control, and the genetic algorithm method is used to optimize fuzzy control rules. A simulation experiment was made to compare the effects of traditional PID control and fuzzy PID based on genetic algorithm control by Matlab. The simulation results verify that fuzzy PID control based on genetic algorithm is superior to PID control in dynamic stability performance and speed tracking power.

Identificaion of Fuzzy Control Rules Utilizing Genetic Algorithms and its Application to Mobile Robot

1992 ◽  
Vol 25 (20) ◽  
pp. 249-254
Author(s):  
Hee Soo Hwang ◽  
Young Hoon Joo ◽  
Hyun Ki Kim ◽  
Kwang Bang Woo
Keyword(s):  
Genetic Algorithms ◽  
Fuzzy Control ◽  
Mobile Robot ◽  
Control Rules
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