Research on Fuzzy Control of MR (Magneto-Rheological) Damper for Landing Gear Based on FuzzyTECH

The semi-active control of MR damper is established, using a simplified model of landing gear system and DSP2812 as the code control board. The fuzzy control system is created based on software fuzzyTECH and simulation mode was established in matlab\simulink. Compared with passive control, the fuzzy control damping effect of the aircraft body vertical acceleration, body relative displacement and wheel dynamic load at different moments in the process of plane's taking off and landing. Software fuzzyTECH platform can generate the corresponding code for the DSP controller, applied directly to the fuzzy control system design and debugging, and shorten the development cycle of fuzzy algorithm control. Passive control and fuzzy control test are carried out on the landing gear vibration test platform. The results show that the application of fuzzy algorithm controller has higher adaptability and more real-time control effect, fuzzy control is better than passive control.

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Greenhouse Moisture and Temperature Fuzzy Control System and PLC Program Design

Applied Mechanics and Materials ◽

10.4028/www.scientific.net/amm.721.265 ◽

2014 ◽

Vol 721 ◽

pp. 265-268

Author(s):

Mao Qi Huang ◽

Jian Hong Ke ◽

Xiao Long Wu

Keyword(s):

Complex System ◽

Control System ◽

Fuzzy Control ◽

Control Program ◽

Control Effect ◽

Math Model ◽

Fuzzy Control System ◽

Temperature Controller ◽

Plc Program ◽

And Control

Greenhouse environment system is an often nonlinear, change and inertia complex system. It is very hard to build math model and control. Since moisture and temperature have a influence to crops grow, we select them to build the manner of control system, applying fuzzy control system to design moisture and temperature controller, and to write fuzzy control program based PLC, then we should observe the factual control effect. The result of system running show: when temperature is set to 25oC and moisture is 80%RH, the process of control is stable and the system is very stable, it can meet the greenhouse requirement.

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Study on the Application of Semi-Active Variable Stiffness Fuzzy Control System to a Residential Building

Advanced Materials Research ◽

10.4028/www.scientific.net/amr.446-449.3197 ◽

2012 ◽

Vol 446-449 ◽

pp. 3197-3201 ◽

Cited By ~ 1

Author(s):

Ping Wei ◽

Hong Bing Chen ◽

Ya Ying Zhang

Keyword(s):

Control System ◽

Fuzzy Control ◽

Residential Building ◽

Good Control ◽

Variable Stiffness ◽

Control Effect ◽

Ground Acceleration ◽

Maximum Displacement ◽

Fuzzy Control System ◽

Operating Modes

Based on a steel concrete building, this paper presents a study on the fuzzy control of building vibration. The building structure is simplified into layer model and is applied with a fuzzy control. Three membership functions, Gaussian, triangel and π shap, are used for the simulation. Three earthquake waves, El_centro, Taft and Tianjinghuanhe, are utilized as well. Nine operating modes are proposed for fuzzy control. A series of fuzzy control rules are designed with ground acceleration and mass point displacement being regarded as firstly important components. The simulation results show the control ratio of decreased displacement to the maximum displacement without control varies from 12.67% of Mode I to 36.33% of Mode G. The average control ratio is 23.99%. The fuzzy control system has a quite good control effect on building vibration.

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Fuzzy Control System for Regulating the Blood Glucose Level of Diabetes Patients Implemented on FPGA

Journal of Circuits System and Computers ◽

10.1142/s0218126616501619 ◽

2016 ◽

Vol 25 (12) ◽

pp. 1650161 ◽

Cited By ~ 3

Author(s):

Sawsan Morkos Gharghory ◽

Dalia A. El-Dib

Keyword(s):

Control System ◽

Blood Glucose ◽

Fuzzy Control ◽

Blood Glucose Level ◽

Glucose Level ◽

Real Time Control ◽

Health Monitoring System ◽

Fuzzy Control System ◽

Time Control ◽

Field Programmable

The VHDL design and Field Programmable Gate Array (FPGA) implementation of a fuzzy control system to control the blood glucose level continuously based on current and previous values are presented. The design is based on simple models of the dynamic behavior of the glucose insulin system suitable for real-time control. The system is successfully implemented on FPGA promising efficient hardware implementation to be included in a low power, robust and reliable closed loop health monitoring system.

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