Research on control system of electric spark equipment based on fuzzy control technology

2021 ◽  
Author(s):  
Hanmin Ye ◽  
Yingzhi Liu ◽  
Keqin Su
Keyword(s):  
Control System ◽  
Fuzzy Control ◽  
Control Technology

The Simulation Study for Auto Electrical Seat Controller Based on Fuzzy Control Technology

2011 ◽  
Vol 383-390 ◽  
pp. 7328-7331
Author(s):  
Lan Jiang Zhang ◽  
Gui Jie Wang
Keyword(s):  
Control System ◽  
Fuzzy Control ◽  
Effective Means ◽  
Nonlinear Function ◽  
Control Technology ◽  
Highly Nonlinear ◽  
Adjustment System ◽  
The Mathematical Model ◽  
Seat Adjustment ◽  
Controlled Object

Designed the control system policy for automobile electric seat using fuzzy control technology, therefore established its control model by Fuzzy Logic Toolbox, and carried on the off-line simulation to choose controller's optimum control parameters. From the dynamic viewpoint, the auto electric seat adjustment system is not only a complex nonlinear function which includes the location of the DC servo motor and the speed, but also contains serious nonlinear coupling interference, so the system is a highly nonlinear strong coupling, variable multivariable system. Application of traditional control methods (such as traditional PID) is difficult to meet its order requirements, so the research is highly robust method of intelligent control is an effective way to solve the problem. Fuzzy control technology has become the field in which drawn greater attention and researched in recent years. It doesn’t depend on the mathematical model of controlled object, has a good robustness, and nonlinear control characteristics, so it is an effective means to control the object with time-varying, non- linear parameters. In this paper, fuzzy control technology to achieve the orders of auto electric seat adjustment control system functions in the Literature [1], and the tracking of the system was simulated.

Fuzzy Controller Design Used for Steel Length Measurement

2011 ◽  
Vol 383-390 ◽  
pp. 5176-5181
Author(s):  
Chong Sheng Hou
Keyword(s):  
Control System ◽  
Fuzzy Control ◽  
Steel Plate ◽  
Fuzzy Controller ◽  
Controller Design ◽  
Steel Plates ◽  
Control Technology ◽  
Practical Applications ◽  
Learning Function ◽  
Self Learning

The accurate measurement of the length of steel plate is the key to control technology for cross-cutting production line. Three steel plates determining-length control algorithms were deeply analyzed, in the set-length control strategy fuzzy control technology was introduced, and determining-length fuzzy controller structure and realization was analyzed; In order to improve the accuracy of steel plate crosscut, on the basis of the fuzzy control system self-learning function and artificial self-learning function were increased. Practical applications show that technical advancement, reliability of the control system and shear plate accuracy are high, fully meet the requirements of control.

Study on the Fuzzy Control System of Micro-Hole Drilling

2012 ◽  
Vol 580 ◽  
pp. 126-129 ◽  
Author(s):  
Hui Meng Zheng ◽  
Dong Hui Wang
Keyword(s):  
Control System ◽  
Fuzzy Control ◽  
Fuzzy Controller ◽  
Hole Drilling ◽  
Monitoring Systems ◽  
Work Piece ◽  
Drill Bit ◽  
Control Technology ◽  
Micro Hole ◽  
On Line

To improve the accuracy and reliability of control system ,we construct a set of micro-hole drilling on-line monitoring systems based on fuzzy control technology. The axial force and torque collected from experiment are inputted to fuzzy controller get the real-time wear state of drill bit. Then compare the wear value with monitoring threshold, if the amount is bigger than the threshold, the system will alarm and retract the cutter, so the drill can avoid be broken and work piece be saved.

scholarly journals Home Robot Control System Based on Internet of Things and Fuzzy Control

2021 ◽  
Vol 2021 ◽  
pp. 1-12
Author(s):  
Qinghua Song ◽  
Li Li
Keyword(s):  
Control System ◽  
Internet Of Things ◽  
Fuzzy Control ◽  
Robot Control ◽  
System Structure ◽  
System Stability ◽  
Service Robots ◽  
Control Technology ◽  
Home Robot ◽  
Robot Control System

The rapid development of intelligent control technology has improved the functions of service robots oriented to the home environment, and the functional requirements of family members for service robots have also been upgraded from simply liberating hands and reducing housework to emotional communication and intelligent escort. Based on the Internet of Things and fuzzy control technology, this paper builds a home robot control system and gives a brief overview around the mechanical structure design of the home service robot, mainly focusing on the core control system and global path planning methods. Moreover, this paper adopts the control system structure that combines the upper computer and the bottom motion controller and combines it with simple and practical system software, so the system stability is high. Finally, this paper verifies the performance of the system constructed in this paper through experimental research. The research results show that the system constructed in this paper has certain practical effects.

scholarly journals Fuzzy Control Model in Phosphate Removal

2021 ◽  
Author(s):  
Ke Zhou
Keyword(s):  
Control System ◽  
Fuzzy Control ◽  
Simulation Analysis ◽  
Sewage Treatment ◽  
Sewage Water ◽  
Phosphate Removal ◽  
Control Technology ◽  
Experiment Data ◽  
Efficient Treatment ◽  
Current Experience

Abstract The precise input of flocculant (PAC) and coagulant aid (PAM) into phosphate wastewater is a key problem to degrade the phosphate content in sewage water and make the total phosphate (TP) and suspended pollutants (SS) in sewage water reach the discharged standard. In this paper, a new method combining fuzzy control technology with wastewater treatment control system is proposed to establish an automatic control system suitable for phosphates removal treatment. Based on experiment data and current experience, the membership function and fuzzy rules are set, and the fuzzy control technology is obtained with simulation analysis, and the efficient treatment of sewage water was realized. It can be seen from the results that the fuzzy control technology could be applied to the phosphate removal control system for treating sewage water, and the standard of stable, accurate and efficient sewage treatment has been realized.

The Simulation Study for Auto Electrical Seat Controller Based on Fuzzy Control Technology

2012 ◽  
Vol 433-440 ◽  
pp. 2523-2527
Author(s):  
Lan Jiang Zhang ◽  
Gui Jie Wang
Keyword(s):  
Control System ◽  
Fuzzy Control ◽  
Effective Means ◽  
Nonlinear Function ◽  
Control Technology ◽  
Highly Nonlinear ◽  
Adjustment System ◽  
The Mathematical Model ◽  
Seat Adjustment ◽  
Controlled Object

Designed the control system policy for automobile electric seat using fuzzy control technology, therefore established its control model by Fuzzy Logic Toolbox, and carried on the off-line simulation to choose controller's optimum control parameters. From the dynamic viewpoint, the auto electric seat adjustment system is not only a complex nonlinear function which includes the location of the DC servo motor and the speed, but also contains serious nonlinear coupling interference, so the system is a highly nonlinear strong coupling, variable multivariable system. Application of traditional control methods (such as traditional PID) is difficult to meet its order requirements, so the research is highly robust method of intelligent control is an effective way to solve the problem. Fuzzy control technology has become the field in which drawn greater attention and researched in recent years. It doesn’t depend on the mathematical model of controlled object, has a good robustness, and nonlinear control characteristics, so it is an effective means to control the object with time-varying, non- linear parameters. In this paper, fuzzy control technology to achieve the orders of auto electric seat adjustment control system functions in the Literature [1], and the tracking of the system was simulated.

Research on Intelligent Variable Frequency of Air-Conditioner Control System Based on Fuzzy Control

2011 ◽  
Vol 110-116 ◽  
pp. 4076-4084
Author(s):  
Hai Cun Du
Keyword(s):  
Neural Network ◽  
Control System ◽  
Fuzzy Control ◽  
Fuzzy Neural Network ◽  
Air Conditioner ◽  
Neural Network Controller ◽  
The Neural Network ◽  
Network Controller ◽  
Fuzzy Neural ◽  
Fuzzy Control Strategy

In this paper, we determine the fuzzy control strategy of inverter air conditioner, the fuzzy control model structure, the neural network and fuzzy control technology, structural design of the fuzzy neural network controller as well as the neural network predictor FNNC NNP. Simulation results show that the fuzzy neural network controller can control the accuracy greatly improved the compressor, and the control system has strong adaptability to achieve a truly intelligent; model of the controller design and implementation of technology are mainly from the practical point of view, which is practical and feasible.

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