Computer Simulations for Design and Optimization of a Fuzzy Control System

ASME 1994 International Computers in Engineering Conference and Exhibition ◽

10.1115/cie1994-0477 ◽

1994 ◽

Author(s):

Dean B. Edwards ◽

John R. Canning ◽

Anthony de Sam Lazaro

Keyword(s):

Control System ◽

Fuzzy Control ◽

Control Systems ◽

Computer Simulations ◽

Fuzzy Systems ◽

Linear Control ◽

Control Problems ◽

Trial And Error ◽

Fuzzy Control System ◽

Design And Optimization

Abstract The use of fuzzy logic in control systems is becoming increasingly popular as a method of handling non-linear control problems. The design of fuzzy systems is generally undertaken using intuition and a trial-and-error approach for tuning. A system so developed may be less than optimum as no accepted evaluation norms are available. In this paper a generic method to design and to optimize a fuzzy control system is developed. The results of computer simulations of a system constructed using this technique are submitted and discussed. The experimental verification of the method is presented.

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Creation of Fuzzy Control Table with Data Mining

Advanced Materials Research ◽

10.4028/www.scientific.net/amr.760-762.1080 ◽

2013 ◽

Vol 760-762 ◽

pp. 1080-1083

Author(s):

Jun Gao

Keyword(s):

Data Mining ◽

Control System ◽

Fuzzy Control ◽

Control Systems ◽

Association Rule ◽

New Method ◽

Data Mining Techniques ◽

Fuzzy Control System

A good fuzzy control table is the key to a fuzzy control system, and the systems performance mainly depends on the quality of the table. Based on analyzing fully the principles of a typical fuzzy control systems and the procedures of building a fuzzy control table, this paper presents a new method of applying the boolean association rule data mining techniques to mining of fuzzy control table directly from the database of manual operating records.

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Simulation and Application of Fuzzy Control System with Integrator

Advanced Materials Research ◽

10.4028/www.scientific.net/amr.418-420.1825 ◽

2011 ◽

Vol 418-420 ◽

pp. 1825-1828

Author(s):

Ping Li ◽

Chang Feng Yan ◽

Ling Ke Zeng ◽

Xiao Su Cheng

Keyword(s):

Control System ◽

Fuzzy Control ◽

Control Systems ◽

Practical Experience ◽

System Stability ◽

Static Error ◽

Fuzzy Control System ◽

Simulation Results ◽

The Stability

This article simulated fuzzy control system by using MATLAB and compared the normal fuzzy control system with the fuzzy control system which has an integrator. Further more, the influence of quantize factors, proportional factors and integral constants on system was studied. The simulation results show that static error always exists in normal fuzzy control systems and proportional factors influence the stability of the system greatly. Put an integrator into a fuzzy control system, and static error can be eliminated and the system stability can be improved. The conclusion of simulation and practical experience, use fuzzy control system with integrator in reality. It can get good results.

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The Temperature and Humidity Based on the Embedded Implementation of Fuzzy Control System

Applied Mechanics and Materials ◽

10.4028/www.scientific.net/amm.58-60.749 ◽

2011 ◽

Vol 58-60 ◽

pp. 749-754

Author(s):

Jun Zhang

Keyword(s):

Control System ◽

Fuzzy Control ◽

Control Systems ◽

Humidity Control ◽

Fuzzy Control System ◽

Temperature And Humidity ◽

Cut Set ◽

Transition Rules ◽

And Control ◽

Embedded Implementation

For the characteristics and needs of temperature and humidity control in current industrial environment, the paper proposes a fuzzy-based embedded temperature and humidity control system，which enables consumers monitor and control temperature and humidity parameters through the PDA when moving. The article first introduces the hardware structure of the temperature and humidity fuzzy control system, then based on the theory of fuzzy set and the fuzzy number operations of l - cut set, focusing on the transition rules of fuzzy controlling fuzzy conditions of the temperature and humidity control systems, and finally introduce the key technologies of embedded software system of the PDA,. The experimental results show that the system is very practical and flexible.

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