Computer-aided design of the fuzzy control system using the genetic algorithm

2016 ◽  
Author(s):  
Vitalii Meshcheryakov ◽  
Liudmila Denisova
Keyword(s):  
Genetic Algorithm ◽  
Control System ◽  
Fuzzy Control ◽  
Computer Aided Design ◽  
Fuzzy Control System ◽  
Computer Aided ◽  
Aided Design

scholarly journals A fuzzy control system for fitness service based on genetic algorithm during COVID-19 pandemic

2020 ◽  
Vol 39 (6) ◽  
pp. 8805-8812
Author(s):  
Zhihui He ◽  
Xiaofeng Li
Keyword(s):  
Genetic Algorithm ◽  
Heart Rate ◽  
Control System ◽  
Fuzzy Control ◽  
Aerobic Exercise ◽  
Exercise Intensity ◽  
Fuzzy Membership Function ◽  
Fuzzy Control System ◽  
Intensity Control ◽  
Epidemic Period

During the COVID-19 epidemic period, it is essential to strengthen physical exercise and improve the health of the whole people. In this paper, based on genetic algorithm, a fuzzy control system is proposed to dynamically adjust the exercise ability of the bodybuilders under the comprehensive consideration of parameters. Through experiments and data processing, the system obtains bioelectric information related to heart rate, heart rate variability and muscle fatigue of the fitness people in the three states of not fatigue, moderate fatigue and extreme fatigue, establishes fuzzy membership function, and thus establishes personalized fitness information feedback control strategy to maintain moderate fitness intensity. By narrowing the gap between the predicted RPE value based on objective information and the measured RPE, the method provides a unified subjective and objective exercise intensity for the bodybuilders, effectively expands the time of aerobic exercise, and enhances the effect of aerobic exercise. In addition, in order to expand the scope of application of the exercise intensity control model, the service-oriented transformation is carried out to enable it to provide fitness content combinations of interest to fitness practitioners and instructors.

Optimization of Heave Motions for a Four Column Semi-Submersible Based on Genetic Algorithm

2018 ◽  
Author(s):  
Suji Zhu
Keyword(s):  
Genetic Algorithm ◽  
Global Optimization ◽  
Computer Aided Design ◽  
Transfer Functions ◽  
Parametric Modelling ◽  
Optimal Solutions ◽  
Global Optimization Algorithm ◽  
The Past ◽  
Computer Aided ◽  
Aided Design

Semi-submersible is designed with low heave motions compared with conventional ships by utilizing the cancelation effects between pontoons and columns. During the past years, continuous efforts have been devoted to reducing the heave amplitudes considering utilizing dry-tree system. Different concepts of semi-submersible have been proposed with favorable heave response. Deep draft semi-submersibles have been proved to be efficient in reducing the heave motions, and the damper structures under the pontoon may also reduce the heave responses significantly. Those concepts are beyond the conventional semi-submersible design, which may bring high costs for fabrication and installations. During computer-aided design and analysis, optimization algorithms are used to search for the optimal hull configuration. However, due to the restrictions of computer capacities, the global optimization algorithm, in some cases, have difficulties in finding out the optimal solutions without the aid from engineering experience. In this paper, the geometry of a ring-pontoon four-column semi-submersible is generated by parametric modelling. The heave transfer functions at center of gravity are calculated using WADAM. Genetic algorithm is used to find the most favorable heave responses. In the end, the parameters that influence the heave motions are summarized and discussed.

Computer Aided Design of a Hydrofoil Control System

1985 ◽  
Vol 18 (8) ◽  
pp. 377-380
Author(s):  
R. Whalley ◽  
P.C. Gregory
Keyword(s):  
Control System ◽  
Computer Aided Design ◽  
Computer Aided ◽  
Aided Design
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