Design and Simulation of a Welding Wire Feeding Control System Based on Genetic Algorithm

Based on Nios II embedded processor control module, a digital control system was designed for wire feeding control of gas tungsten arc welding(GTAW). In the control system FPGA wave module is used to control the movement of the DC servo motor, and the digital control of pulsed wire feeder for GTAW was achieved. One and the same control module with Nios II embedded processor is used to control the wire feeder and the welding power source. Thus, the current parameter of pulsed welding arc can be obtained and used directly for controlling the speed of wire feeding. At last, the experiment results are provided to verify the validity.

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Simulation of temperature control system for azimuth holding instrument based on improved genetic algorithm PID control

Future Communication Technology ◽

10.2495/icct131222 ◽

2014 ◽

Author(s):

Yunhun Guan

Keyword(s):

Genetic Algorithm ◽

Control System ◽

Temperature Control ◽

Pid Control ◽

Temperature Control System ◽

Improved Genetic Algorithm

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The Walking Robot Control System that is Adaptive to Changes in the Kinematics

Mekhatronika Avtomatizatsiya Upravlenie ◽

10.17587/mau.22.601-609 ◽

2021 ◽

Vol 22 (11) ◽

pp. 601-609

Author(s):

A. S. Samoylova ◽

S. A. Vorotnikov

Keyword(s):

Genetic Algorithm ◽

Control System ◽

Robot Control ◽

Control Algorithm ◽

Human Life ◽

Support Surface ◽

Machine Modeling ◽

Cargo Delivery ◽

Formal Classification

The walking mobile robots (WMR) have recently become widely popular in robotics. They are especially useful in the extreme cases: search and rescue operations; cargo delivery over highly rough terrain; building a map. These robots also serve to explore and describe a partially or completely non-deterministic workspace, as well as to explore areas that are dangerous to human life. One of the main requirements for these WMR is the robustness of its control system. It allows WMR to maintain the operability when the characteristics of the support surface change as well as under more severe conditions, in particular, loss of controllability or damage of the supporting limb (SL). We propose to use the principles of genetic programming to create a WMR control system that allows a robot to adapt to possible changes in its kinematics, as well as to the characteristics of the support surface on which it moves. This approach does not require strong computational power or a strict formal classification of possible damage to the WMR. This article discusses two main WMR control modes: standard, which accord to a serviceable kinematics, and emergency, in which one or more SL drives are damaged or lost controllability. As an example, the structure of the control system of the WMP is proposed, the kinematics of which is partially destroyed in the process of movement. We developed a method for controlling such robot, which is based on the use of a genetic algorithm in conjunction with the Mealy machine. Modeling of modes of movement of WMR with six SL was carried out in the V-REP program for two cases of injury: absent and not functioning limb. We present the results of simulation of emergency gaits for these configurations of WMP and the effectiveness of the proposed method in the case of damage to the kinematic scheme. We also compared the performance of the genetic algorithm for the damaged WMR with the standard control algorithm.

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A Genetic Algorithm Method for Optimal Position of the Actuator Configuration of an Active Vibration Control System for Trim Panels in Aircrafts

IFAC Proceedings Volumes ◽

10.1016/s1474-6670(17)41947-1 ◽

1998 ◽

Vol 31 (20) ◽

pp. 1109-1114

Author(s):

D.A. Manolas ◽

Z.G. Diamantis ◽

D.T. Tsahalis

Keyword(s):

Genetic Algorithm ◽

Control System ◽

Vibration Control ◽

Active Vibration Control ◽

Optimal Position ◽

Genetic Algorithm Method ◽

Active Vibration

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Multi-criteria control system parameters optimization based on genetic algorithm

Proceedings of the 3rd World Congress on Intelligent Control and Automation (Cat. No.00EX393) ◽

10.1109/wcica.2000.860053 ◽

2002 ◽

Author(s):

Yang Zhimin ◽

Wang Xu ◽

Zhuang Xianyi

Keyword(s):

Genetic Algorithm ◽

Control System ◽

Parameters Optimization ◽

System Parameters

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Automatic feeding control system for fish

Fish Farming Technology ◽

10.1201/9781003077770-36 ◽

2020 ◽

pp. 217-225

Author(s):

R. Kimura ◽

S. Kawaguchi ◽

S. Sugitani

Keyword(s):

Control System ◽

Feeding Control

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

Journal of Intelligent & Fuzzy Systems ◽

10.3233/jifs-189277 ◽

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.

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