Knowledge Acquisition by Improved Fuzzy ID3 Algorithm and Stability Analysis for Jacket Tank Temperature Control

2000 ◽  
Vol 12 (6) ◽  
pp. 682-688
Author(s):  
Masaki Arao ◽  
◽  
Masahito Tanaka ◽  
Shigeyasu Kawaji ◽  
Keyword(s):  
Control System ◽  
Fuzzy Sets ◽  
Fuzzy Controller ◽  
Random Search ◽  
Id3 Algorithm ◽  
Skilled Operator ◽  
Control Switch ◽  
Control Knowledge ◽  
The Stability ◽  
Definition Of

The extraction of knowledge from operation data is an important theme in an autonomous control system. An efficient method for making a decision tree for classification from data is the fuzzy ID3 algorithm using fuzzy sets. However, the definition of fuzzy sets greatly affects the generation of fuzzy trees. In this paper, we propose a new version of fuzzy ID3 algorithms to generate a fuzzy decision maximizing the expected value of transferred information by applying a random search method for determining the fuzzy set, and by using the improved fuzzy ID3 algorithm an automatic extraction of control knowledge from operational data by skilled operator of a jacket tank process. As a result, a fuzzy controller that can decide output of a control switch from both tank temperature error and differentiation of error is designed. Further, a method of analyzing the stability of the fuzzy control system by the modified fuzzy ID3 algorithm is proposed using the phase planes of tank temperature.

Research and Design of Dynamic Stiffness Testing System for Actuator

2013 ◽  
Vol 753-755 ◽  
pp. 1731-1735
Author(s):  
Jian Chu ◽  
Feng Zhang
Keyword(s):  
Control System ◽  
Test Bench ◽  
Dynamic Stiffness ◽  
Testing System ◽  
Programmable Logic ◽  
Important Indicator ◽  
Actuator System ◽  
The Stability ◽  
Definition Of ◽  
Research And Design

Actuator is widely used in the control system. Among all characteristics of an actuator, dynamic stiffness is an important indicator; it must satisfy the requirement to inhibit the control surface’s flutter. This article described the definition of dynamic stiffness of actuator, introduced the importance of the research of dynamic stiffness of actuator, designed a test bench for dynamic stiffness testing and putted forward a method which based on Programmable Logic Controller to simulate a signal generator which generated sinusoidal signal load to test the dynamic stiffness of actuator, found out a worst point of the actuator’s dynamic stiffness, improved the stability of the actuator system and avoided the occurrence of flutter at the frequency.

scholarly journals SYNTHESIS OF A FUZZY TWO-LINKED REGULATOR FOR FREQUENCY ELECTRIC DRIVES OF A GRAIN MACHINE WITH A FOCUS OF THE GRAIN FLOW

2021 ◽  
Vol 3 (55) ◽  
pp. 16-23
Author(s):  
E. Burdilna ◽  
◽  
І. Konokh ◽  
S. Serhiienko
Keyword(s):  
Control System ◽  
Fuzzy System ◽  
Fuzzy Controller ◽  
Practical Application ◽  
Electric Drives ◽  
Frequency Converters ◽  
Grain Flow ◽  
Microprocessor Control System ◽  
Working Bodies ◽  
Definition Of

Purpose. A control system for grain overloading during post-harvest processing with grain throwers has been proposed, the use of which will reduce damage and grain loss. An automated electromechanical system is presented that can be installed on agricultural machinery without additional modernization of the working bodies. Methodology. As a result of the analysis of control systems, a system with elements of fuzzy logic was selected, which will clearly define the necessary control actions and take into account additional parameters that can affect the overload process. A functional diagram of a microprocessor control system for an electric drive using a fuzzy system is proposed. The result of the system operation will be the definition of the control task for the frequency converters of the drive motors of the grain thrower mechanisms. Originality. Based on the simulation of grain flight trajectories, the dependences of the flight range on the conveyor speed and additional blowing were formed, which were used to determine the settings of the fuzzy controller. Results. Fuzzy system settings are performed: a set of input and output variables is defined; the number and location of terms are selected; a set of production rules for the system is formulated. As a result of experimental modeling, graphs of the formation of mastering influences by a fuzzy controller under the condition of the appearance and disappearance of the headwind for different given distances of movement were obtained. Practical value. Practical application of the offered system will allow to reduce material losses from injury of the overloaded grain and to increase efficiency of work of the grain thrower. Figures 8, references 21.

Trajectory Tracking Control for a Mobile Robot Using Stochastic Fuzzy Controller

1997 ◽  
Vol 9 (2) ◽  
pp. 160-167
Author(s):  
Jun Tang ◽  
◽  
Keigo Watanabe ◽  
Akira Nomiyama ◽  
◽  
...  
Keyword(s):  
Control System ◽  
Fuzzy Control ◽  
Mobile Robot ◽  
Fuzzy Controller ◽  
Control Object ◽  
Circular Path ◽  
Unknown Parameters ◽  
Trajectory Tracking Control ◽  
Practical Applications ◽  
The Stability

This paper presents a new design for a fuzzy controller, called ""stochastic fuzzy control."" It describes the application controlling a mobile robot driven by two independent wheels. Using this scheme, the fuzzy control system provides an optimal stochastic control strategy that ensures the stability of the control system. Two design methods are considered: one assumes that the control object is completely known, and the other assumes that the control object includes unknown parameters. We design the straight line and circular path reference trajectories in accordance with the practical applications for the mobile robot, in which three patterns of speed are adopted. The effectiveness of the proposed method is demonstrated by a series of practical tests using our experimental mobile robot.

Application of GA-FNC in Crystallizer Liquid Level Control System

2011 ◽  
Vol 199-200 ◽  
pp. 1777-1780
Author(s):  
Ming Li ◽  
Da Yong Yang
Keyword(s):  
Control System ◽  
Control Strategy ◽  
Steel Casting ◽  
Fuzzy Controller ◽  
Liquid Level ◽  
Level Control ◽  
Intelligent Control System ◽  
Casting System ◽  
The Stability ◽  
Self Learning

This article discusses the control strategy of the steel casting system which possesses the characteristics of large inertia, time-varying and nonlinear. Aiming at getting the minimum deviation of liquid level, the control strategy uses the genetic algorithm to off-line optimize the parameters (cij,bj) of the Gaussian membership function and the network structure of fuzzy controller which affect the overall system firstly. Then, BP algorithm is used to online regulate and optimize the weight parameters of the control output which affect the system partly. Finally, the intelligent control system of the liquid level which is based on GA-FNC is simulated. The results show that the method can enhance the ability of self-learning and robustness of the system greatly and improve the stability of steel casting system significantly.

The Structure to a Brachiation Inspection Robot and its Fuzzy Control for Obstacle-Negotiation

2013 ◽  
Vol 278-280 ◽  
pp. 622-628 ◽  
Author(s):  
Yong Xie ◽  
Ai Ping Xiao ◽  
Jian Wu ◽  
Guang Liu
Keyword(s):  
Control System ◽  
Fuzzy Control ◽  
Inverse Kinematics ◽  
Fuzzy Controller ◽  
The Body ◽  
Virtual Simulation ◽  
Simulation Technology ◽  
Work Requirements ◽  
Inspection Robot ◽  
The Stability

Through the analysis of the structure of the existing Bachiation Inspection Robot, the thesis summed up the existing shortcomings, put forward an improved structure which makes the robot grasp the line accurately in the process of obstacles in mountainous forest areas, in order to ensure the stability of the body, and avoid the additional torque generated in the process; for the improvement of the structure, the thesis established positive and inverse kinematics research on the Bachiation Inspection Robot through the kinematics model established in D-H method; finally, designed a fuzzy controller to achieve the body’s ascension (down) movement, built program diagram using Simulink tool of MATLAB, analyzed the stability of the fuzzy control system. The end of the thesis further verified the feasibility of structured of the robot through virtual simulation technology, proved that the robot can meet the more steady work requirements in crossing the obstacles.

scholarly journals (α, β)−Pythagorean Fuzzy Numbers Descriptor Systems

2022 ◽  
Author(s):  
Chuan-qiang Fan ◽  
Wei-he Xie ◽  
Feng Liu
Keyword(s):  
Nonlinear Control ◽  
Fuzzy Sets ◽  
Fuzzy Controller ◽  
Research Direction ◽  
Descriptor Systems ◽  
Universal Method ◽  
Pythagorean Fuzzy Sets ◽  
The Stability ◽  
New Research ◽  
Pythagorean Fuzzy Numbers

By using pythagorean fuzzy sets and T-S fuzzy descriptor systems, the new (α, β)-pythagorean fuzzy descriptor systems are proposed in this paper. Their definition is given firstly, and the stability of this kind of systems is studied, the relation of (α, β)-pythagorean fuzzy descriptor systems and T-S fuzzy descriptor systems is discussed. The (α, β)-pythagorean fuzzy controller and the stability of (α, β)-pythagorean fuzzy descriptor systems are deeply researched. The (α, β)-pythagorean fuzzy descriptor systems can be better used to solve the problems of actual nonlinear control. The (α, β)-pythagorean fuzzy descriptor systems will be a new research direction, and will become a universal method to solve practical problems. Finally, an example is given to illustrate effectiveness of the proposed method.

Postmodern More

Moreana ◽  
2003 ◽  
Vol 40 (Number 153- (1-2) ◽  
pp. 219-239
Author(s):  
Anne Lake Prescott
Keyword(s):  
Human Language ◽  
Thomas More ◽  
The Stability ◽  
Definition Of ◽  
Recent Critic

Thomas More is often called a “humanist,” and rightly so if the word has its usual meaning in scholarship on the Renaissance. “Humanist” has by now acquired so many different and contradictory meanings, however, that it needs to be applied carefully to the likes of More. Many postmodernists tend to use the word, pejoratively, to mean someone who believes in an autonomous self, the stability of words, reason, and the possibility of determinable meanings. Without quite arguing that More was a postmodernist avant la lettre, this essay suggests that he was not a “humanist” who stalks the pages of much recent postmodernist theory and that in fact even while remaining a devout Catholic and sensible lawyer he was quite as aware as any recent critic of the slipperiness of human selves and human language. It is time that literary critics tightened up their definition of “humanist,” especially when writing about the Renaissance.

SYNTHESIS AND OPTIMIZATION OF FUZZY CONTROLLER FOR CONTROL SYSTEM OF FLOATING DOCK DRAFT

2016 ◽  
Vol 23 (99) ◽  
pp. 113-120
Author(s):  
Yuri P. Kondratenko ◽  
◽  
Alexey V. Korobko ◽  
Alexey V. Kozlov ◽  
Andrej N Topalov ◽  
...  
Keyword(s):  
Control System ◽  
Fuzzy Controller

Path Tracking Controller Design of Automatic Guided Vehicle Based on Four-Wheeled Omnidirectional Motion Model

2020 ◽  
Vol 17 (2) ◽  
pp. 7996-8010
Author(s):  
X. Wu ◽  
Y. Yang
Keyword(s):  
Control System ◽  
Fuzzy Controller ◽  
Controller Design ◽  
Threshold Value ◽  
Position Angle ◽  
Path Tracking ◽  
Global Coordinate System ◽  
Automatic Guided Vehicle ◽  
Input Variables ◽  
Industrial Pc

This paper presents a new design of omnidirectional automatic guided vehicle based on a hub motor, and proposes a joint controller for path tracking. The proposed controller includes two parts: a fuzzy controller and a multi-step predictive optimal controller. Firstly, based on various steering conditions, the kinematics model of the whole vehicle and the pose (position, angle) model in the global coordinate system are introduced. Secondly, based on the modeling, the joint controller is designed. Lateral deviation and course deviation are used as the input variables of the control system, and the threshold value is switched according to the value of the input variable to realise the correction of the large range of posture deviation. Finally, the joint controller is implemented by using the industrial PC and the self-developed control system based on the Freescale minimum system. Path tracking experiments were made under the straight and circular paths to test the ability of the joint controller for reducing the pose deviation. The experimental results show that the designed guided vehicle has excellent ability to path tracking, which meets the design goals.

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