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.

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.

Design and Simulation of Temperature Control System in Intermittent Reaction Kettles Based on Intelligent Fuzzy Control

2013 ◽  
Vol 380-384 ◽  
pp. 294-297 ◽  
Author(s):  
Xin Wei Li
Keyword(s):  
Control System ◽  
Fuzzy Control ◽  
Pid Control ◽  
Elevated Temperatures ◽  
Fuzzy Controller ◽  
Dynamic Performance ◽  
Temperature Curve ◽  
Time Variable ◽  
Temperature Control System ◽  
New Type

A temperature rising control system and temperature maintaining control system were designed in according to time-variable and hysteretic nature of temperature change and limitation when traditional PID control deals with nonlinear systems. A new type of intelligent fuzzy controller combination of traditional PID control and fuzzy control was designed and applied in temperature maintaining control system. The simulation results show that the holding phase at elevated temperatures and temperature, the temperature curve has a high steady-state accuracy and dynamic performance in the period of temperature rising and maintaining, and the system and controller cause a better result.

Development of Intelligent Frequency Drum Washing Machine Based on Fuzzy Control Technology

2014 ◽  
Vol 701-702 ◽  
pp. 697-703
Author(s):  
Li Zong Lin ◽  
Jian Feng Chen ◽  
Shuai Han ◽  
Chao Huang ◽  
Zi Li Ke
Keyword(s):  
Fuzzy Control ◽  
Frequency Control ◽  
Fuzzy Reasoning ◽  
Development Trend ◽  
Structure Design ◽  
Control Technology ◽  
Body Structure ◽  
Washing Machine ◽  
The Development Trend ◽  
Current Energy

Aiming at the current energy efficiency of washing machine is not high. The smart inverter washing machine based on fuzzy control technology is designed. Drum washing machine including a content body structure design, programmable controller and the overall program and frequency control module is highlighted. And the generation and fuzzy reasoning process SPWM signals and other issues are discussed in detail. The results show that the use of fuzzy control technology frequency control can not only save water and energy, but also meet the modern requirements of a variety of special laundry, in line with the development trend of the washing machine technology.

The Fuzzy Control Method in Semi-Active Suspension

2010 ◽  
Vol 159 ◽  
pp. 644-649
Author(s):  
Jing Hua Zhao ◽  
Wen Bo Zhang ◽  
He Hao
Keyword(s):  
Control System ◽  
Fuzzy Control ◽  
Control Method ◽  
Fuzzy Controller ◽  
Simulation Analysis ◽  
Reference Model ◽  
Active Suspension ◽  
Vibration Characteristic ◽  
Acceleration Signal ◽  
Logic Control

Based on the analysis of performance of vehicle and its suspension, half vehicle model of five DOF and road model were built and the dynamic equations of half vehicle were derived according to the parameters of a commercial vehicle. In addition, a novel fuzzy logic control system based on semi-active suspension was introduced to achieve the optimal vibration characteristic, with changing the adjustable dampers according to dynamic vertical body acceleration signal. The fuzzy control was designed based on non-reference model method that acceleration value was sent to the fuzzy controller directly. And then, simulation analysis of semi-active suspension with fuzzy control method were implemented on the B-class road surface. The results showed that the semi-active suspension control system introduced in this paper has better performance on vieicle vibration characteristic, compared to passive suspension.

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.

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 Temperature Control System Based on Fuzzy Control Algorithm for Mixer

2009 ◽  
Vol 87-88 ◽  
pp. 288-292 ◽  
Author(s):  
Chuan Sheng Wang ◽  
Fu Hai Zhou
Keyword(s):  
Control System ◽  
Fuzzy Control ◽  
Temperature Control ◽  
Control Algorithm ◽  
Fuzzy Controller ◽  
Cooling Water ◽  
Host Computer ◽  
Temperature Control System ◽  
Control Value ◽  
Fuzzy Control Algorithm

The changes of temperature in the rubber mixing process is of great significance. How to ensure the changes of temperature in rubber mixing is an important issue. The article introduces the temperature control system based on the fuzzy control algorithm. Using the host computer as the fuzzy controller, and the host computer educes the control value based on the difference between the reference input and the measure value. The system automatically discharges of high temperature water and automatically adds the appropriate amount of cooling water. The system can ensure the stability of the mixing temperature and ensure the quality of rubber mixing.

PID Parameter Setting Based on Fuzzy Control Algorithm and its Application in the Temperature Control System of Airplane

2012 ◽  
Vol 588-589 ◽  
pp. 1503-1506
Author(s):  
Fang Ding ◽  
Tao Ma
Keyword(s):  
Control System ◽  
Fuzzy Control ◽  
Temperature Control ◽  
Control Algorithm ◽  
Control Method ◽  
Fuzzy Controller ◽  
Temperature Control System ◽  
System Control ◽  
Control Effect ◽  
Fuzzy Control Algorithm

This Temperature control system of aircraft cabin is a complex system with nonlinear, time-varying, model inaccurate and work environment uncertain. According to the system control requirements, the fuzzy controller with the characteristic of fast response speed, good stability and strong resistance to interference is used in the study. The system error is adjusted constantly by using fuzzy control algorithm and simulation study is conducted in the software Matlab. The results are showed that control effect of control method used in this study is better than the traditional PID control method, and dynamic performance, steady state accuracy and robustness of system is effectively improved.

Simulation and Fuzzy Control Study on the CVT Metal V Belt Axial Misalignment of Car

2010 ◽  
Vol 426-427 ◽  
pp. 97-101 ◽  
Author(s):  
Fa Ye Zang
Keyword(s):  
Control System ◽  
Fuzzy Controller ◽  
Dynamic Performance ◽  
Stable State ◽  
Hydraulic Control ◽  
Pid Algorithm ◽  
System A ◽  
Working Situation ◽  
The Mathematical Model ◽  
Hydraulic Control System

Based on the analysis of the belt misalignment of the metal V belt CVT, the reason of the belt misalignment has been discussed. In order to control the misalignment, an electro-hydraulic control system has been designed. After deeply analyzing the structure and principle of the electro-hydraulic control system, the mathematical model of the electro-hydraulic control system has been established. Being varieties of the working situation of car and the non-linearity of the electro-hydraulic control system, A Fuzzy PID algorithm has been designed. Then the simulation of the belt misalignment has been conducted, and the simulation results show that the electro-hydraulic control system and the fuzzy controller could not only control ratio, which had a higher accuracy of the stable state and a stronger robust of the driving condition, but also eliminated the belt misalignment, improved the dynamic performance of the metal V belt CVT.

scholarly journals Development and Application of a Fuzzy Control System for a Lead-Acid Battery Bank Connected to a DC Microgrid

2018 ◽  
Vol 2018 ◽  
pp. 1-14 ◽  
Author(s):  
Juan José Martínez ◽  
José Alfredo Padilla-Medina ◽  
Sergio Cano-Andrade ◽  
Agustín Sancen ◽  
Juan Prado ◽  
...  
Keyword(s):  
Control System ◽  
Fuzzy Control ◽  
Fuzzy Controller ◽  
Discharge Process ◽  
Membership Functions ◽  
Response Dynamics ◽  
Dc Microgrid ◽  
Fuzzy Control System ◽  
Dc Bus ◽  
Lead Acid

This study presents the development and application of a fuzzy control system (FCS) for the control of the charge and discharge process for a bank of batteries connected to a DC microgrid (DC-MG). The DC-MG runs on a maximum power of 1 kW with a 190 V DC bus using two photovoltaic systems of 0.6 kW each, a 1 kW bidirectional DC-AC converter to interconnect the DC-MG with the grid, a bank of 115 Ah to 120 V lead-acid batteries, and a general management system used to define the operating status of the FCS. This FCS uses a multiplexed fuzzy controller, normalizing the controller’s inputs and outputs in each operating status. The design of the fuzzy controller is based on a Mamdani inference system with AND-type fuzzy rules. The input and output variables have two trapezoidal membership functions and three triangular membership functions. LabVIEW and the NI myRIO-1900 embedded design device were used to implement the FCS. Results show the stability of the DC bus of the microgrid when the bank of batteries is in the charging and discharging process, with the bus stabilized in a range of 190 V ± 5%, thus demonstrating short response times to perturbations considering the microgrid’s response dynamics.

Sign in / Sign up

Export Citation Format

Share Document