Application of Fuzzy Control Theory in Obstacle Avoidance Simulation of Intelligent Wheelchair

2014 ◽  
Vol 597 ◽  
pp. 361-364 ◽  
Author(s):  
Fang Li
Keyword(s):  
Fuzzy Control ◽  
Control Theory ◽  
Obstacle Avoidance ◽  
Information Acquisition ◽  
Fuzzy Controller ◽  
Fuzzy Theory ◽  
Planning Problem ◽  
Fuzzy Logic Algorithm ◽  
Intelligent Wheelchair ◽  
Path Planning Problem

This paper introduces application of the fuzzy control theory in obstacle avoidance simulation of intelligent wheelchair. Aiming at the path planning problem of intelligent wheelchair, with information fuzzy theory, based on the information acquisition of ultrasonic sensors installed in the intelligent wheelchair, processed by fuzzy logic algorithm, then the fuzzy controller of fuzzy control theory was constructed in Matlab, so intelligent wheelchair obstacle avoidance simulation was conducted. The results show that this method can effectively avoid the obstacles, realize the continuous movement of intelligent wheelchair.

Application of Fuzzy Control Technology in a Sonar-Based Obstacle Avoidance Intelligent Wheelchair

2013 ◽  
Vol 321-324 ◽  
pp. 2004-2008 ◽  
Author(s):  
Ting Su ◽  
Guo Hua Cao ◽  
Ji Hua Hu
Keyword(s):  
Fuzzy Control ◽  
Obstacle Avoidance ◽  
Control Strategy ◽  
Fuzzy Controller ◽  
Control Technology ◽  
Application System ◽  
Intelligent Wheelchair ◽  
System Use ◽  
Measured Distance ◽  
Fuzzy Control Strategy

The paper presents a kind of application system combining fuzzy control technology and ultrasonic obstacle avoidance technology for the intelligent wheelchair (iwheelchair). The system use the ultrasonic measured-distance as the input signal and the output signal is the speed of the iwheelchair to avoid obstacle. The fuzzy controller is designed in Matlab platform and simulated according to the obtained fuzzy control strategy. The fuzzy control technology has been applied successfully in ultrasound obstacle avoidance system for the intelligent wheelchair.

Self-Tuning Fuzzy Controller Design for a Switched Reluctance Motor Drive System

2013 ◽  
Vol 418 ◽  
pp. 100-103
Author(s):  
Shun Yuan Wang ◽  
Chwan Lu Tseng ◽  
Shou Chuang Lin ◽  
Jen Hsiang Chou ◽  
Yu Wen Chen ◽  
...  
Keyword(s):  
Fuzzy Control ◽  
Control Theory ◽  
Fuzzy Controller ◽  
Controller Design ◽  
Switched Reluctance Motor ◽  
Drive System ◽  
Electromagnetic Torque ◽  
Switched Reluctance ◽  
Reluctance Motor ◽  
Self Tuning

This study adopts the fuzzy control theory to design a self-tuning fuzzy controller (STFC), which allows adjustment to overcome the controller design difficulty caused by switched reluctance motor (SRM) nonlinearity. Based on the torque sharing function (TSF), the proposed STFC was implanted into an SRM direct torque control (DTC) drive system to develop a system with superior speed and electromagnetic torque dynamic responses. In addition, the control strategy possessed excellent electromagnetic torque response, and effectively improved the dynamic response of the system. Keywords: fuzzy control theory, switched reluctance motor (SRM), torque sharing strategy.

Design and Simulation Analysis on Self-Tuning Fuzzy Controller Based on Scaling Factor and Quantitative Factor

2014 ◽  
Vol 539 ◽  
pp. 630-634
Author(s):  
Jie Liang
Keyword(s):  
Fuzzy Control ◽  
Control Theory ◽  
Moral Education ◽  
Fuzzy Controller ◽  
Simulation Analysis ◽  
Modern Science ◽  
Fast Response ◽  
Quantitative Factor ◽  
Self Tuning ◽  
Scientists And Engineers

Along with the development of modern science and technology information, fuzzy control theory based on its unique advantage becomes more and more popular with scientists and engineers, therefore it is quickly applied to all walks of life, and is one of the advanced teaching theory introduced in educational industry. Firstly, on the basis of mapping between classical set and fuzzy set, the paper comprehensively analyzes the intelligent fuzzy control theory. Based on the improved fuzzy controller which is self-correcting through scale factor and quantification factor, we establishes the fuzzy control model of moral education. In order to verify the feasibility of the model, we design the fuzzy controller to carry out the applied simulation by using the MATLAB fuzzy logic toolbox, and the results show that the system has fast response, strong adaptability, and good steady-state performance.

Fuzzy Controller in the Application for Anti-Surge of the Axial-Flow Compressor

2011 ◽  
Vol 55-57 ◽  
pp. 73-76
Author(s):  
Wei Zhao ◽  
Wen Juan Huang ◽  
Yu Liang Chen ◽  
Jing Xia Niu
Keyword(s):  
Control System ◽  
Fuzzy Control ◽  
Control Theory ◽  
Fuzzy Controller ◽  
Axial Flow ◽  
Axial Flow Compressor ◽  
Surge Control ◽  
Flow Compressor

The paper introduces the surge phenomenon of the axial-flow compressor. To ensure the blower running safely, we analyze the surge phenomenon and design a anti-surge control system by using the fuzzy control theory to control the position of the snorting valve. The result of simulation in Matlab proves that the fuzzy controller is feasible.

scholarly journals Embedded system in Arduino platform with Fuzzy control to support the grain aeration decision

2016 ◽  
Vol 46 (11) ◽  
pp. 1917-1923 ◽  
Author(s):  
Albino Szesz Junior ◽  
Marcos Monteiro Junior ◽  
Ariangelo Hauer Dias ◽  
Ivo Mário Mathias ◽  
Giuvane Conti
Keyword(s):  
Fuzzy Control ◽  
Embedded System ◽  
Fuzzy Controller ◽  
Fuzzy Theory ◽  
Environmental Values ◽  
Controlled Environment ◽  
Temperature And Humidity ◽  
Aeration Process ◽  
The Mathematical Model ◽  
And Storage

ABSTRACT: Aeration is currently the most commonly used technique to improve the drying and storage of grain, depending on temperature and water content of the grain, as of the temperature and relative humidity of the outside air. In order to monitor temperature and humidity of the grain mass, it is possible to have a network of sensors in the cells of both internal and external storage. Use of artificial intelligence through Fuzzy theory, has been used since the 60s and enables their application on various forms. Thus, it is observed that the aeration of grain in function of representing a system of controlled environment can be studied in relation to the application of this theory. Therefore, the aim of this paper is to present an embedded Fuzzy control system based on the mathematical model of CRUZ et al. (2002) and applied to the Arduino platform, for decision support in aeration of grain. For this, an embedded Arduino system was developed, which received the environmental values of temperature and humidity to then be processed in a Fuzzy controller and return the output as a recommendation to control the aeration process rationally. Comparing the results obtained from the graph presented by LASSERAN (1981) it was observed that the system is effective.

Study on Overhead Crane Anti-Swing System with Self-Adjustable Fuzzy Control

2011 ◽  
Vol 128-129 ◽  
pp. 1050-1053 ◽  
Author(s):  
Ding Ye ◽  
Wei Jin ◽  
De Cai Li
Keyword(s):  
Control System ◽  
Steady State ◽  
Fuzzy Control ◽  
Dynamic Model ◽  
Position Control ◽  
Control Method ◽  
Fuzzy Controller ◽  
Fuzzy Theory ◽  
Overhead Crane ◽  
Scale Factors

As for shortcomings of PID and modern control method in crane anti-swing system, we introduce the fuzzy theory to the crane anti-swing on base of analyzing the crane trolley’s moving dynamic model. The cooperation between the position fuzzy controller and swing fuzzy controller achieve the goal. We use the fuzzy control system of self-adjustable quantization factors and scale factors to solve the problem that have the oscillation in limit areas causing the load lasting swing during the trolley moving position control. According to the simulation, it can solve the problem and eliminate the steady-state error completely and improve enhance the adaptivity of system. It can make the trolley reach the designation in 15s and keep the load steady.

The Vector Control System of Induction Motor Based on Fuzzy Control

2014 ◽  
Vol 631-632 ◽  
pp. 702-709
Author(s):  
Hui Liang Dai ◽  
Jia Ling Song ◽  
Shi Hao Wu
Keyword(s):  
Control System ◽  
Fuzzy Control ◽  
Control Theory ◽  
Vector Control ◽  
Induction Motor ◽  
Fuzzy Controller ◽  
Dynamic Performance ◽  
Asynchronous Motor ◽  
System Response ◽  
Vector Control System

Classical control theory method often cannot obtain good static and dynamic performance in speed control system of asynchronous motor that is multivariable, nonlinear and strong coupling. However, with the application of modern control theory, it can effectively improve the operating performance of system in a complicated environment. This paper introduces the basic principle of vector control system and establishes the simulation model of vector control system of asynchronous motor. Meanwhile, according to fuzzy control theory, this paper shows a design of fuzzy controller and it is applied to the vector control system of speed adjusting module. Finally, it uses Matlab/Simulink to simulate and it verifies that Fuzzy vector control system response faster has better stability and stronger robust performance compared to the traditional vector control. Key words: induction motor; vector control; fuzzy control

APPLICATION OF FUZZY CONTROL THEORY IN ACTIVE CONTROL OF STRUCTURES

1996 ◽  
Vol 04 (03) ◽  
pp. 255-274 ◽  
Author(s):  
KEN YEH ◽  
WEILING CHIANG ◽  
DERSHIN JUANG
Keyword(s):  
Fuzzy Control ◽  
Control Theory ◽  
Active Control ◽  
Structural Control ◽  
Fuzzy Controller ◽  
Degree Of Freedom ◽  
Single Degree Of Freedom ◽  
Active Structural Control ◽  
Band Pass ◽  
Control Methodology

The purpose of this paper is to apply fuzzy control theory in active structural control. A single-degree-of-freedom (SDOF) structure is used to develop the basic approach. The approach is then extended to multi-degree-of-freedom (MDOF) structures with the usage of weighted displacement and weighted velocity. A band-pass white noise or large amount of earthquake records are used as excitations to the structures to calculate the normalized displacements and velocities for obtaining the range of weighted displacements and velocities. Several examples are utilized to demonstrate the feasibility of fuzzy control methodology. It is shown that the fuzzy controller can achieve satisfactory results in the application of active control of structures and the feasibility is verified.

The Application of Fuzzy Control in Computer Control

2013 ◽  
Vol 756-759 ◽  
pp. 349-353
Author(s):  
Yu Chi Zhao ◽  
Jing Liu
Keyword(s):  
Fuzzy Control ◽  
Control Theory ◽  
Inverted Pendulum ◽  
Fuzzy Controller ◽  
Computer Control ◽  
Threshold Value ◽  
Numerical Control ◽  
Automatic Regulation ◽  
System Control ◽  
Control Effect

Fuzzy control theory is a computer numerical control theory based on fuzzy set theory, fuzzy language variable and fuzzy logic reasoning. It is widely used for it doesnt require exact mathematical model of controlled object in system design, so that fuzzy control has an advantage in researching high nonlinear system like inverted pendulum. However, rule explosion problem is unavoidable when we use fuzzy control theory to solve some multivariable system control problems such as inverted pendulum. This paper presents the application of the optimal control theory to reduce the input variable dimensions and the rules of the fuzzy controller through designing a fusion function, solving rule explosion problem successfully. The paper also discusses the control effect influenced by quantification factors, promoting performance quality of the fuzzy controller by setting threshold value to make quantification factors automatic regulation.

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