Grinding Wheel Dynamic Balance Weight Type System Based on the Self-Optimal Fuzzy Control

2013 ◽  
Vol 834-836 ◽  
pp. 1360-1364
Author(s):  
Hai Tao Ma ◽  
Shu Fan Ma ◽  
Ying Yu ◽  
Feng Chen
Keyword(s):  
Control System ◽  
Fuzzy Controller ◽  
Dynamic Balance ◽  
Type System ◽  
Vibration Signal ◽  
Grinding Wheel ◽  
Balance Principle ◽  
Mathematical Mode ◽  
Control Rules ◽  
Automatic Adaptation

.Grinding wheel as the research object in this paper and aim at the vibration signal use the weight balance principle to balance the centrifugal force caused by the eccentric whee. Designed a kind of self-optimization fuzzy controller, through online optimization correction factor realized the control rules of self-adjustment and self-improvement. Not only solved the problem of relying on the Precise mathematical mode as the conventional control system,but also make the control system has automatic adaptation for the changes of the object properties.Experimental results show that:the effect of the correct balance amount and the grinding wheel unbalance correction offset is good, the vibration drop rate reached 93.2%, has played a good role in inhibition of unbalance, the grinder vibration quantity significantly reduced and improved the performance of the control system.

Application of Fuzzy Control in Transformer Cooling System

2011 ◽  
Vol 383-390 ◽  
pp. 1262-1266
Author(s):  
Zhen Guo Jia
Keyword(s):  
Control System ◽  
Energy Consumption ◽  
Fuzzy Control ◽  
Fuzzy Controller ◽  
Cooling System ◽  
Lookup Table ◽  
Control Rules ◽  
Cooling Control ◽  
System Energy ◽  
Automation Level

Designed a device with PLC and inverter for transformer cooling control system. The structure of fuzzy controller is built with PLC. By calculating and testing, fuzzy and fuzzy control rules are established. Practical computing for the PLC to control the output lookup table is given. Using this technique, transformer cooling system energy consumption will be reduced, transformer’s coolers life will be extended and transformer cooling system automation level will be increased.

Research on Temperature Control System with a Scaling Factor for Iron Ore Reduction Measuration

2012 ◽  
Vol 542-543 ◽  
pp. 143-146
Author(s):  
Dong Xie ◽  
Jin Liang Shi ◽  
Qun Wei Yu
Keyword(s):  
Control System ◽  
Temperature Control ◽  
Iron Ore ◽  
Fuzzy Controller ◽  
Controller Design ◽  
Control Device ◽  
Temperature Control System ◽  
Ore Reduction ◽  
Control Rules ◽  
Iron Ore Reduction

This paper presents the principle of iron ore reduction measuration system. According to characteristics of temperature developing in experimental, the proper control rules are adopted in different temperature ranges and the self-optimizing algorithm is used in controller design. A new fuzzy controller with self-tuning factor for temperature control system can replace the traditional instrument control device and achieve precise temperature control. The result of experimentation shows that the control system has satisfactory performance with better reliability and efficacy. This method adopted in controller is practical and worthy for reference.

The Identification of Amplitude and Phase in Imbalance Mass of Grinding Wheel

2011 ◽  
Vol 487 ◽  
pp. 391-395
Author(s):  
Suo Xian Yuan ◽  
Z.L. Guan
Keyword(s):  
Rotational Speed ◽  
Basic Concept ◽  
Dynamic Balance ◽  
Vibration Signal ◽  
Grinding Wheel ◽  
Periodic Signal

Vibration signal produced by imbalance of grinding wheel is a periodic signal that has a same frequency with rotational speed. To identify the signal accurately is premise of balance for grinding wheel. This paper introduces the composition and basic concept of vibration signal in grinding wheel and further studies how to identify process and calculate about this vibration signal. It will provide theory evidence for grinding wheel’s dynamic balance.

Research in the Design of the Fuzzy Controller Intelligence of the Measuring and Controlling Apparatus on Water-Content in Material Pulp

2012 ◽  
Vol 457-458 ◽  
pp. 1475-1479
Author(s):  
Guo Hong Xia
Keyword(s):  
Control System ◽  
Fuzzy Control ◽  
Water Content ◽  
Fuzzy Controller ◽  
Paper Briefly ◽  
Automatic Measuring ◽  
Control Rules ◽  
Self Organized ◽  
Classical Control ◽  
Fuzzy Control Algorithm

In the course of producing material pulp, water-content (or the density of material pulp) is a very important process parameter. There are many elements which affect the water-content of material pulp, therefore it is very difficult to build precise mathematical module. In the meantime, the control system is nonlinear and retarded. For such control systems, the classical control system and modern control system is always hard to be applied, but fuzzy control can usually gain good results. This paper briefly illustrates the basic composing frame graph of the fuzzy control system of the automatic measuring and controlling apparatus on water-content in material pulp. We design the fuzzy controller of the automatic measuring and controlling apparatus on water-content in material pulp from these aspects: from the fuzzification of the sendout values, the rules of fuzzy reasoning, the adjustment of fuzzy control rules through the principle of double-factor self-organized fuzzy control, and the précising of the input values, and etc., and give the program frame graph of the fuzzy control algorithm. The successful application of the Intelligence Measuring and Controlling Apparatus on water-content proves that the design of the fuzzy controller is reasonable.

Fuzzy Control with Adjustable Factors in Tension Control System

2014 ◽  
Vol 902 ◽  
pp. 201-206 ◽  
Author(s):  
Fang He ◽  
Jia Han ◽  
Qiang Wang
Keyword(s):  
Control System ◽  
Fuzzy Control ◽  
Fuzzy Controller ◽  
Tension Control ◽  
System Response ◽  
Fast System ◽  
Fuzzy Control System ◽  
Control Rules ◽  
Tension Control System ◽  
Fuzzy Control Algorithm

The variable tension control system of strip winding is a nonlinear, strong coupling and time-varying system. Traditional fuzzy controller with fixed control rules cannot obtain the desired control performance of the strip winding system. So the fuzzy control algorithm with adjustable factorαis proposed, and the introduction of adjustable factors can change the fuzzy control rules. The tension fuzzy controller with adjustable factorαis designed, and simulation model of the system is established using Matlab software. The result of simulation shows that tension fluctuation of the tension fuzzy control system with adjustable factor get small, comparing the tension fuzzy control system with adjustable factors with the ordinary tension fuzzy control system. The tension fuzzy control system with adjustable factors has fast system response and strong anti-interference ability.

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.

scholarly journals An Adaptive Neuro-Fuzzy Control of Pneumatic Mechanical Ventilator

Actuators ◽  
2021 ◽  
Vol 10 (3) ◽  
pp. 51
Author(s):  
Jozef Živčák ◽  
Michal Kelemen ◽  
Ivan Virgala ◽  
Peter Marcinko ◽  
Peter Tuleja ◽  
...  
Keyword(s):  
Control System ◽  
Control Algorithm ◽  
Fuzzy Inference ◽  
Fuzzy Controller ◽  
Mechanical Design ◽  
Mechanical Ventilator ◽  
Mechanical Ventilators ◽  
Inference System ◽  
Control Approach ◽  
Neuro Fuzzy

COVID-19 was first identified in December 2019 in Wuhan, China. It mainly affects the respiratory system and can lead to the death of the patient. The motivation for this study was the current pandemic situation and general deficiency of emergency mechanical ventilators. The paper presents the development of a mechanical ventilator and its control algorithm. The main feature of the developed mechanical ventilator is AmbuBag compressed by a pneumatic actuator. The control algorithm is based on an adaptive neuro-fuzzy inference system (ANFIS), which integrates both neural networks and fuzzy logic principles. Mechanical design and hardware design are presented in the paper. Subsequently, there is a description of the process of data collecting and training of the fuzzy controller. The paper also presents a simulation model for verification of the designed control approach. The experimental results provide the verification of the designed control system. The novelty of the paper is, on the one hand, an implementation of the ANFIS controller for AmbuBag pressure control, with a description of training process. On other hand, the paper presents a novel design of a mechanical ventilator, with a detailed description of the hardware and control system. The last contribution of the paper lies in the mathematical and experimental description of AmbuBag for ventilation purposes.

Analysis and Synthesis of a Fuzzy Controller by the Phase Plane Method

2021 ◽  
Vol 22 (10) ◽  
pp. 507-517
Author(s):  
Y. A. Bykovtsev
Keyword(s):  
Control System ◽  
Automatic Control ◽  
Automatic Control System ◽  
Phase Plane ◽  
Fuzzy Controller ◽  
Piecewise Linear ◽  
Plane Method ◽  
Phase Trajectories ◽  
Analysis And Synthesis ◽  
Phase Plane Method

The article is devoted to solving the problem of analysis and synthesis of a control system with a fuzzy controller by the phase plane method. The nonlinear transformation, built according to the Sugeno fuzzy model, is approximated by a piecewise linear characteristic consisting of three sections: two piecewise linear and one piecewise constant. This approach allows us to restrict ourselves to three sheets of phase trajectories, each of which is constructed on the basis of a second-order differential equation. Taking this feature into account, the technique of "stitching" of three sheets of phase trajectories is considered and an analytical base is obtained that allows one to determine the conditions for "stitching" of phase trajectories for various variants of piecewise-linear approximation of the characteristics of a fuzzy controller. In view of the specificity of the approximated model of the fuzzy controller used, useful analytical relations are given, with the help of which it is possible to calculate the time of motion of the representing point for each section with the involvement of the numerical optimization apparatus. For a variant of the approximation of three sections, a technique for synthesizing a fuzzy controller is proposed, according to which the range of parameters and the range of input signals are determined, at which an aperiodic process and a given control time are provided. On the model of the automatic control system of the drive level of the mechatronic module, it is shown that the study of a fuzzy system by such an approximated characteristic of a fuzzy controller gives quite reliable results. The conducted studies of the influence of the degree of approximation on the quality of control show that the approximated characteristic of a fuzzy controller gives a slight deterioration in quality in comparison with the smooth characteristic of a fuzzy controller. Since the capabilities of the phase plane method are limited to the 2nd order of the linear part of the automatic control system, the influence of the third order on the dynamics of the system is considered using the example of a mechatronic module drive. It is shown that taking into account the electric time constant leads to overshoot within 5-10 %. Such overshoot can be eliminated due to the proposed recommendations for correcting the static characteristic of the fuzzy controller.

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