scholarly journals Fuzzy control system design and manufacture of Magnetic Levitation and compared with PID controller

2017 ◽  
Vol 3 (01) ◽  
Author(s):  
Seyyed Mohammad Hosseini Rostami ◽  
Mansoureh Ghazaani ◽  
Seyyed Mohammad Latifi Rostami
Keyword(s):  
Fuzzy Logic ◽  
Fuzzy Control ◽  
Pid Controller ◽  
Human Performance ◽  
Fuzzy Controller ◽  
Magnetic Levitation ◽  
Point System ◽  
Fuzzy Controllers ◽  
Design And Manufacture ◽  
Better Than

Fuzzy logic is one of the most effective tools in creating procedures and designing systems that are close to human performance and form the basis of Fuzzy controllers. Due to the complexity of industrial equipment and devices, Fuzzy controllers are effective in this regard. Fuzzy controllers have been successfully used in controlling different systems over the past two decades. In this project, a method for controlling the levitation-point system is presented. Nonlinearity and system instability are features that control it with PID and the response from this controller is not desirable, so Fuzzy control is a simple and practical way to solve this problem. In this project, the Fuzzy controller and the PID controller have been applied to the simplified Maglev system (magnetic levitations), which simukation shows Fuzzy logic is better than PID controller. The simulation results obtained from the system indicate the efficiency of the proposed method.

Whether the opinion about superiority of fuzzy controllers is justified

2010 ◽  
Vol 58 (1) ◽  
pp. 59-65 ◽  
Author(s):  
R. Gessing
Keyword(s):  
Fuzzy Logic ◽  
Fuzzy Controller ◽  
Pid Controllers ◽  
Fuzzy Approach ◽  
Input Output ◽  
Fuzzy Controllers ◽  
Better Than

Whether the opinion about superiority of fuzzy controllers is justifiedIn the paper, using some MATLAB fuzzy logic toolbox Demos, in which the fuzzy controllers are compared with the classical PID ones, it is shown that the well tuned classical PID controllers are significantly better than those fuzzy presented in the Demos. It is shown, that using fuzzy approach, it is very difficult to shape the input-output nonlinearity, describing the so called fuzzy block of the fuzzy controller. It is also shown, that the linear fuzzy block (created to obtain comparable results with the classical PID controllers) is not justified at all, because it may be replaced by the usual summing junction, which is significantly simpler. The considerations of the paper do not support the idea of fuzzy controllers.

Control of Automobile's Automatic Parking

2011 ◽  
Vol 339 ◽  
pp. 28-31
Author(s):  
Hong Mei
Keyword(s):  
Fuzzy Logic ◽  
Fuzzy Control ◽  
Fuzzy Controller ◽  
Steering Wheel ◽  
Experienced Driver ◽  
Parking System ◽  
Automatic Parking ◽  
Conventional Methods ◽  
The Ideal

An automatic parking controller is proposed. Fuzzy control is taken to simulate the action of experienced driver as an alternative to conventional methods. The angle between the midline of the car and ideal path and the distance between the midpoint of the car and the ideal path are taken as the inputs of the fuzzy controller. The angle of the steering wheel is taken as the output of the fuzzy controller. A set of fuzzy logic rules are build for reasoning. With sensors installed in the car to replace people’s eyes and computer to replace people’s brain, the automatic parking system is more precise and quicker than human’s parking. At last, simulation is made and proved the validity of the proposed method.

Development of a PID-Fuzzy controller in the water level control of a pressurizer of a nuclear reactor

2021 ◽  
Vol 8 (3B) ◽  
Author(s):  
Thiago Souza Pereira de Brito ◽  
Carlos Alberto Brayner de Oliveira Lira ◽  
Wagner Eustáquio de Vasconcelos
Keyword(s):  
Fuzzy Logic ◽  
Pid Controller ◽  
Power Plants ◽  
Nuclear Reactor ◽  
Fuzzy Controller ◽  
Normal Operation ◽  
Primary Circuit ◽  
Level Control ◽  
Pressurized Water ◽  
Safety Margins

It is well known that safety in the operation of nuclear power plants is a primary requirement because a failure of this system can result in serious problems to the environment. A nuclear reactor has several systems that help keep it in normal operation, within safety margins. Many of these systems operate in the control of variable quantities in the primary circuit of a reactor. However, nuclear reactors are nonlinear physical systems, and this introduces a complexity in the control strategies. Among several mechanisms in the thermal-hydraulic system of a reactor that actuate as a controller, the pressurizer is the component responsible for absorbing  pressure variations that occur in the primary circuit. This work aims at the development of a PID controller (Proportional Integral Derivative) based on fuzzy logic to operate in a pressurizer of a nuclear Pressurized Water Reactor. A Fuzzy Controller was developed using the process of fuzzification, inference, and defuzzification of the variables of interest to a pressurizer, then this controller was coupled to a PID Controller building a PID Controller, but oriented by Fuzzy logic. Subsequently, the PID-Fuzzy Controller was experimentally validated in a Simulation Plant in which transients like those in a PWR were conducted. The PID parameters were analyzed and adjusted for better responses and results. The results of the validation were also compared to simple controllers (on / off).

Research on Fuzzy Control System for Air-Condition in Bus

2012 ◽  
Vol 457-458 ◽  
pp. 998-1001
Author(s):  
Qiu Hua Miao ◽  
Pei Gang Jiao ◽  
Jie Liang
Keyword(s):  
Fuzzy Logic ◽  
Control System ◽  
Fuzzy Control ◽  
Fuzzy Logic Control ◽  
Fuzzy Controller ◽  
Logic Control ◽  
Temperature Signal ◽  
Working Principle ◽  
Fuzzy Logic Technique ◽  
Deflection Rate

In this paper fuzzy logic control is introduced in auto adjust control system of air in bus. Fuzzy controller employs fuzzy control model of two inputs and one output. The paper also introduces the hardware framework, working principle and software of the system, analyzing merits of fuzzy logic technique, putting emphasis on the design of the fuzzy controller. In the controlling process, fuzzy controller samples temperature signal in bus and calculate deflection and deflection rate of temperature, looks up corresponding output in controlling table, and calculates its precision, then fuzzy controller gives related signal to motors and valve, acquiring satisfactory effect.

scholarly journals A Hybrid PID-Fuzzy Control for Linear SISO Systems with Variant Communication Delays

2012 ◽  
Vol 2012 ◽  
pp. 1-8 ◽  
Author(s):  
Adrian-Bogdan Hanchevici ◽  
Monica Patrascu ◽  
Ioan Dumitrache
Keyword(s):  
Fuzzy Logic ◽  
Fuzzy Control ◽  
Performance Improvement ◽  
Control Strategy ◽  
Pid Controller ◽  
Fuzzy Logic Controller ◽  
Communication Protocol ◽  
Network Simulation ◽  
Communication Delays ◽  
Siso Systems

We propose one networked control strategy for linear SISO systems affected by variant communication delays. The purpose of this approach is to adjust, by using the fuzzy logic, the command provided by the PID controller. The input for the fuzzy logic controller (FLC) is represented by the delay and the variation of delay, and the output is used to adapt the PID controller’s command to the new value of the communication delay which occurs in the network. Simulation and implementation results are presented. The results show performance improvement when using our control strategy. The authors present the implementation for an axis of a 3D crane, using the Ethernet/IP (TCP/IP) communication protocol.

Control of a Fluidized Bed Combustor Using Fuzzy Logic

1996 ◽  
Vol 118 (1) ◽  
pp. 204-209 ◽  
Author(s):  
S. J. Koffman ◽  
R. C. Brown ◽  
R. R. Fullmer
Keyword(s):  
Fuzzy Logic ◽  
Fuzzy Control ◽  
Fluidized Bed ◽  
Fuzzy Logic Control ◽  
Fuzzy Controller ◽  
Experimental Results ◽  
Pi Control ◽  
Logic Control ◽  
And Performance ◽  
Fluidized Bed Combustor

Application of fuzzy logic control to a fluidized bed combustor (FBC) is examined. Major aspects of fuzzy control are reviewed, and design of a fuzzy controller for the FBC is described. Selected experimental results are presented, and performance of the fuzzy controller is evaluated through comparisons to results from classical PI control of the combustor.

Simulation for Temperature Control System of Dyeing Machine Based on Fuzzy Control

2011 ◽  
Vol 317-319 ◽  
pp. 1688-1692
Author(s):  
Min Ling Zhao ◽  
Guo Ping Li ◽  
Xiong Bo Ze ◽  
Cheng Kai Ji
Keyword(s):  
Fuzzy Logic ◽  
Control System ◽  
Fuzzy Control ◽  
Temperature Control ◽  
Fuzzy Logic Control ◽  
Fuzzy Controller ◽  
Decisive Role ◽  
Temperature Control System ◽  
Logic Control

In the process of dyeing, the temperature control of dyeing machine plays a decisive role on the stand or fall quality of fabric. The establishment of the traditional PID controller’s parameters needs a lot of test, which brings many inconvenience.Therefore, it is proposed to control dyeing machine temperature by fuzzy controller. Based on the principle of fuzzy logic control, the model of the temperature control system of dyeing machine is built. At the same time, through the fuzzy logic toolbox in matlab software, fuzzy controller of temperature is designed. Then a comparative simulation of the temperature control system of dyeing machine with matlab has been accomplished. Through the analysis of the results, it is concluded that the temperature system can achieve the higher steady precision.

A novel 3-DOF translational parallel robot and its fuzzy controller design

2021 ◽  
pp. 1-14
Author(s):  
Tianxu Li ◽  
Mingde Gong ◽  
Kongming Hu ◽  
Lijuan Zhao ◽  
Baoqiang Zhao
Keyword(s):  
Pid Controller ◽  
Degrees Of Freedom ◽  
Fuzzy Controller ◽  
Controller Design ◽  
Screw Theory ◽  
Parallel Robot ◽  
Servo Control ◽  
Control Performance ◽  
Three Degrees Of Freedom ◽  
Better Than

In this paper, a novel three-degrees-of-freedom (3-DOF) parallel robot is designed, which can only move in three translational directions. It avoids the difficulty in the solution for forward kinematics of the parallel robot. The robot containing only lower pairs (P and R) has a simple mechanism. The characteristic that the parallel robot has only three translational degrees of freedom can be proved by the screw theory and the DOF can be got by the formula of calculating the DOF of space mechanism. The kinematics and workspace of the parallel robot is analyzed through calculation and simulation. In order to obtain better servo control performance, the PMSM fuzzy controller is designed. The analysis and simulation results show that the mechanism design of the parallel robot is reasonable, and the effect of fuzzy controller is better than the ordinary PID controller.

scholarly journals The adaptive fuzzy designed PID controller using wavelet network

2009 ◽  
Vol 6 (2) ◽  
pp. 141-163 ◽  
Author(s):  
Emary El ◽  
Walid Emar ◽  
Musbah Aqel
Keyword(s):  
Fuzzy Logic ◽  
Adaptive Control ◽  
Pid Controller ◽  
Fuzzy Controller ◽  
Expert Knowledge ◽  
Wavelet Network ◽  
Fuzzy Adaptive Control ◽  
Adaptive Fuzzy Controller ◽  
Adaptive Fuzzy ◽  
Fuzzy Adaptive

During the past several years, fuzzy control has emerged as one of the most active and fruitful areas for research in the applications of the fuzzy set theory, especially in the realm of the industrial processes, which do not lend themselves to control by conventional methods because of a lack of quantitative data regarding the inputoutput relations i.e., accurate mathematical models. The fuzzy logic controller based on wavelet network provides a means of converting a linguistic control strategy based on expert knowledge into an automatic strategy. In the available literature, one can find scores of papers on fuzzy logic based controllers or fuzzy adaptation of PID controllers. However, relatively less number of papers is found on fuzzy adaptive control, which is not surprising since fuzzy adaptive control is relatively new tool in control engineering. In this paper, fuzzy adaptive PID controller with wavelet network is discussed in subsequent sections with simulations. An adaptive neural network structure was proposed. This structure was used to replace the linearization feedback of a second order system (plant, process). Also, in this paper, it is proposed that the controller be tuned using Adaptive fuzzy controller where Adaptive fuzzy controller is a stochastic global search method that emulates the process of natural evolution. It is shown that Adaptive fuzzy controller be capable of locating high performance areas in complex domains without experiencing the difficulties associated with high dimensionality or false optima as may occur with gradient decent techniques. From the output results, it was shown that Adaptive fuzzy controller gave fast convergence for the nonparametric function under consideration in comparison with conventional Neural Wavelet Network (NWN).

scholarly journals FEATURES OF DESIGNING FUZZY REGULATORS IN THE COMPOSITION OF AUTOMATIC CONTROL SYSTEMS OF SEMICONDUCTOR COMPENSATORS

2021 ◽  
pp. 47-52
Author(s):  
Serhii Kozlov ◽  
Olena Levon ◽  
Nataliya Kuzmenko ◽  
Serhii Rymar
Keyword(s):  
Fuzzy Logic ◽  
Automatic Control ◽  
Control Systems ◽  
Fuzzy Controller ◽  
Quality Criterion ◽  
Fuzzy Controllers ◽  
Automatic Control Systems ◽  
Software Products ◽  
Functional Scheme ◽  
Parametric Adjustment

The article discusses the design features of fuzzy controllers as part of automatic control systems for semiconductor compensators. Tendencies to the use of fuzzy logic and neural networks to solve problems with a large number of variables that are random are analyzed. The functional scheme of the automatic control system on the basis of fuzzy logic is considered. Some features of the fuzzy regulator are given. Questions of optimization of parameters of digital fuzzy controllers are investigated. The importance of the choice of the method of parametric adjustment of the fuzzy controller is shown. The options for choosing the quality criterion for fuzzy controllers are considered. The market of commercial software products for working with fuzzy logic is analyzed.

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