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.

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.

A Model Improvement of a Supercritical Unit Coordination Control System

2013 ◽  
Vol 680 ◽  
pp. 488-494
Author(s):  
Hai Ming Niu ◽  
Zhong Xu Han ◽  
Huan Pao Huang ◽  
Hong Min Zhang
Keyword(s):  
Mathematical Model ◽  
Control System ◽  
Coordinated Control ◽  
Coordination Control ◽  
Model Improvement ◽  
Unit Coordination ◽  
The Mathematical Model ◽  
Controlled Object

Base on the mathematical model of a common coordinated control system in field of thermal, by analyzing characteristics of the controlled object supercritical once-through boiler coordinated control system, the article puts forward suggestions for improvement, and verifies the results of the analysis by test.

scholarly journals Research on Automation of Test Skill Evaluation Based on Fuzzy Controller

2021 ◽  
Vol 2136 (1) ◽  
pp. 012050
Author(s):  
Chunbao Liu ◽  
Sheng Zhang
Keyword(s):  
Control System ◽  
Fuzzy Control ◽  
Fuzzy Controller ◽  
Development Trend ◽  
Intelligent Control System ◽  
On Chip ◽  
Basic Features ◽  
Skill Evaluation ◽  
The Mathematical Model ◽  
The Development Trend

Abstract The fuzzy control system is composed of an integral part of modern intelligent automatic control, can control of precision is difficult to directly establish the mathematical model of the intelligent control system object data for effective fuzzy control, so fuzzy has wide application field, considering the basic features of fuzzy control arithmetic, more close to the parallel processing of the way of fuzzy data stream, so fuzzy control is more suitable for implementation by a special control circuit, not only can not only improve the speed of data processing, and it also can improve the control system running stability. With the improvement of programming logic and programmable ability of FPGA, FPGA has the necessary ability to implement ASIC directly and meet the requirements of system programming and design on chip. It has become the development trend of FPGA. The fuzzy analog controller can be used as a digital analog controller of a DC/DC fuzzy converter. In the absence of Matlab/Simulinkc environment, a DC/DC fuzzy converter can be modeled by using Maplecs toolbox. The simulation test results firstly verify the practical feasibility of the fuzzy analog controller. Then PLXILINXXC3S500EFPGA chip is used to realize the fuzzy simulation controller, and good simulation results are obtained.

scholarly journals Application of Configuration Software in Process Control Course Teaching

2016 ◽  
Vol 11 (07) ◽  
pp. 74
Author(s):  
Chunguo Fei ◽  
Chunxin Li
Keyword(s):  
Control System ◽  
Process Control ◽  
Teaching Practice ◽  
Process Control System ◽  
Configuration Software ◽  
Control Configuration ◽  
Learning Interest ◽  
The Mathematical Model ◽  
Simulation Practice ◽  
Controlled Object

According to the characteristics of configuration software and process control course, the configuration software is applied to teaching practice of process control. Configuration software can realize the mathematical model and the design of the digital controller of the controlled object in the process control, and can build different process control system. In the teaching practice of process control, the combination of theory and simulation practice not only makes the boring process control theory more vivid and helps students to understand and remember the theoretical knowledge easily, but also improves the students’ learning interest, efficiency and enthusiasm. Practices prove that this method is an effective way to teach process control system. And it also provides a new idea for such kind of control courses.

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.

Research of Optimal Control Model with Multiple Inputs and Multiple Outputs Based on Logic Algebra

2012 ◽  
Vol 214 ◽  
pp. 775-779
Author(s):  
Yi Chun Ling
Keyword(s):  
Mathematical Model ◽  
Optimal Control ◽  
Control System ◽  
Computer Control ◽  
Control Model ◽  
Computer Control System ◽  
Control Laws ◽  
Multiple Outputs ◽  
The Mathematical Model ◽  
Controlled Object

Through the study of computer control system, article puts forward a mathematical model in the computer control system which controlled object is digital, and describes the mathematical model through logic algebra to form a set of method solving optimal index control laws which has the characters of easy to understand and easy to operate.

Study on Adaptive Fuzzy Control System of Settlement Technology

2014 ◽  
Vol 1061-1062 ◽  
pp. 904-907
Author(s):  
Xiang Ping Chen
Keyword(s):  
Control System ◽  
Fuzzy Control ◽  
Fuzzy Inference ◽  
Control Method ◽  
Dynamic Control ◽  
Adaptive Fuzzy Control ◽  
Fuzzy Control System ◽  
Adaptive Fuzzy ◽  
The Mathematical Model ◽  
Clear Solution

Considering the production status of red mud at present, an adaptive fuzzy control system, according to fuzzy control and genetic algorithm, has been focused on. With the control of flocculants, the system fuzzy control clarity of clear solution. Adaptive neural network fuzzy inference theory is adopted to establish the mathematical model of controlled object "black box", and MATLAB for simulation, showing that the control method has good accuracy and dynamic control quality. Satisfy the requirements of practice work.

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.

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