scholarly journals Python-based Fuzzy Control of Ore Feeding System

2021 ◽  
Author(s):  
Yu Du ◽  
Yuebing Liu ◽  
Dan Liu ◽  
Ruitao Liu ◽  
Wenkang Zhang ◽  
...  
Keyword(s):  
Fuzzy Control ◽  
Fuzzy Controller ◽  
Control Variable ◽  
Mineral Processing ◽  
Fuzzy Membership Function ◽  
Key Factors ◽  
Calculation Results ◽  
Industrial Mineral ◽  
Input Variables ◽  
Fuzzy Control Algorithm

Abstract Using Python as a programming language, this study investigates the problem of controlling the ore amount in the field of mineral processing. First, data on the influencing factors collected from a certain beneficiation mill in Yuanyang are quantitatively analyzed using the NumPy module library. Factors having a greater influence are screened out and then selected as the input while the motor frequency is generated as the output by the fuzzy control algorithm developed using the SciKit Fuzzy module library. The range of values of the fuzzy control variable is defined, the fuzzy membership function is generated, and the fuzzy control rule is established. Finally, the fuzzy controller is activated to realize fuzzy control of the mine. The NumPy algorithm can be effectively applied to the quantitative analysis of data, and the calculation results are reasonable and interpretable. The simulation results are as follows: the hardness of the raw ore and the weight of the belt scale are the key factors for controlling the ore amount, and they can be used as the input variables of the fuzzy control system. The fuzzy controller developed using the SciKit Fuzzy module library can be effectively applied to the field of mineral processing, and it overcomes the limitations of current computer technology in industrial mineral processing.

Study of Fuzzy Control for Turbofan Engine Based on Improved Genetic Algorithms Optimization

2011 ◽  
Vol 148-149 ◽  
pp. 1072-1076
Author(s):  
Yu Hu ◽  
Yue Cheng Yang ◽  
Shi Ying Zhang ◽  
Xi Xing Yu
Keyword(s):  
Fuzzy Control ◽  
Fuzzy Controller ◽  
Improved Genetic Algorithm ◽  
Control Effect ◽  
Component Level ◽  
Turbofan Engine ◽  
Control Precision ◽  
Level Model ◽  
Fuzzy Control Algorithm ◽  
Great Control

In the paper, the fuzzy control algorithm was studied in turbofan engine. The turbofan engine models of “little deflection” model and “large deflection” model were built based on component level model. Then, a fuzzy controller, including the fuzzy-integral mixed controller, smith forecast and compensation, was designed with the fuzzy rules were optimized by improved genetic algorithm. The simulation results show that the designed control system responds fast, has no overshoot or oscillation, and the control precision is high. The controller can effectively solve time delay influence with a great control effect for “little deflection” model and acceleration model.

Research of Temperature Control System Based on Fuzzy Control Algorithm for Mixer

2009 ◽  
Vol 87-88 ◽  
pp. 288-292 ◽  
Author(s):  
Chuan Sheng Wang ◽  
Fu Hai Zhou
Keyword(s):  
Control System ◽  
Fuzzy Control ◽  
Temperature Control ◽  
Control Algorithm ◽  
Fuzzy Controller ◽  
Cooling Water ◽  
Host Computer ◽  
Temperature Control System ◽  
Control Value ◽  
Fuzzy Control Algorithm

The changes of temperature in the rubber mixing process is of great significance. How to ensure the changes of temperature in rubber mixing is an important issue. The article introduces the temperature control system based on the fuzzy control algorithm. Using the host computer as the fuzzy controller, and the host computer educes the control value based on the difference between the reference input and the measure value. The system automatically discharges of high temperature water and automatically adds the appropriate amount of cooling water. The system can ensure the stability of the mixing temperature and ensure the quality of rubber mixing.

PID Parameter Setting Based on Fuzzy Control Algorithm and its Application in the Temperature Control System of Airplane

2012 ◽  
Vol 588-589 ◽  
pp. 1503-1506
Author(s):  
Fang Ding ◽  
Tao Ma
Keyword(s):  
Control System ◽  
Fuzzy Control ◽  
Temperature Control ◽  
Control Algorithm ◽  
Control Method ◽  
Fuzzy Controller ◽  
Temperature Control System ◽  
System Control ◽  
Control Effect ◽  
Fuzzy Control Algorithm

This Temperature control system of aircraft cabin is a complex system with nonlinear, time-varying, model inaccurate and work environment uncertain. According to the system control requirements, the fuzzy controller with the characteristic of fast response speed, good stability and strong resistance to interference is used in the study. The system error is adjusted constantly by using fuzzy control algorithm and simulation study is conducted in the software Matlab. The results are showed that control effect of control method used in this study is better than the traditional PID control method, and dynamic performance, steady state accuracy and robustness of system is effectively improved.

Simulation Analysis of Tractor AMT Shifting Process Based on Fuzzy Optimization of Downshifting

2012 ◽  
Vol 468-471 ◽  
pp. 970-975
Author(s):  
Zhi Li Zhou ◽  
Ming Xing Xing ◽  
Li You Xu ◽  
Jin Quan Ding ◽  
Yan Ke Zhao
Keyword(s):  
Fuzzy Control ◽  
Control Method ◽  
Fuzzy Controller ◽  
Simulation Analysis ◽  
Fuzzy Optimization ◽  
Wheel Slip ◽  
Slip Ratio ◽  
The Law ◽  
Input Variables ◽  
Fuzzy Control Strategy

In this paper, the fuzzy control strategy is introduced, and then it proposes a two-dimensional fuzzy control method which takes the tractor driving wheel slip ratio and the engine throttle opening as input variables, while uses gear correction as output variable. Based on these, a fuzzy controller is designed to optimize the law of downshifting of tractor AMT. Subsequently, a best tractor AMT shift rule is formed through optimal combination of resolution obtained by the law of up-shifting. At last, simulation analysis is made on the basis of the simulation model established of tractor AMT shifting process. The results show that shift cycle can be effectively avoided and shift shock will reduced in the process of shifting, which makes the quality of shifting better and greatly improve the performance of the tractor.

Manipulator visual localization motion control for power cable mobile robot in dynamic-unstructured environment

2019 ◽  
Vol 46 (1) ◽  
pp. 93-103 ◽  
Author(s):  
Wei Jiang ◽  
An Zhang ◽  
Gongping Wu ◽  
Lianqing Yu ◽  
Hong Jun Li ◽  
...  
Keyword(s):  
Fuzzy Control ◽  
Control Algorithm ◽  
Fuzzy Controller ◽  
Operational Efficiency ◽  
Visual Localization ◽  
Control Parameters ◽  
Content Type ◽  
Autonomous Search ◽  
Drainage Line ◽  
Fuzzy Control Algorithm

Purpose To improve the operational efficiency and intelligence of live operation robots in dynamic-unstructured operation environments, this paper aims to propose a fuzzy logic-based method for the autonomous search and visual localization control of a manipulator end effector applied to a drainage plate bolt on a high-voltage transmission line. The proposed approach is based on a four-way video image information output from a dual-operation manipulator. Design/methodology/approach First, based on the structural characteristics of the drainage line, an autonomous search method for the drainage plate bolt and a mapping relationship between the autonomous search control parameters and the relative posture of the operation manipulator-drainage line are proposed. The posture control parameters of the dual manipulators can then be obtained, and a two-dimensional fuzzy controller is designed with the posture offset distance and the posture offset angle as its input signals. This enables the localization control of the bolt and nut alignment to be realized through a visual process. Findings The proposed fuzzy control algorithm is used for bolt location control, and its performance is compared with that of the conventional approach. The simulation results indicate that the fuzzy control algorithm greatly improves the localization accuracy and operational efficiency of live operation robots. Originality/value Field operation experiments on actual transmission lines verify that the fuzzy control-based visual localization control of the robot manipulator has great engineering practicality. Therefore, the proposed method further improves operational intelligence compared with conventional algorithms.

Paper Cutter Fuzzy-PI Speed Control Based on PLC

2011 ◽  
Vol 204-210 ◽  
pp. 1129-1134
Author(s):  
Rui Zhang ◽  
Le Peng Song ◽  
Jun Ling Yang ◽  
Jun Zhou
Keyword(s):  
Fuzzy Control ◽  
Time Delays ◽  
Control Algorithm ◽  
Fuzzy Controller ◽  
Speed Control ◽  
Pi Regulator ◽  
Modifiable Factors ◽  
Strong Robustness ◽  
Fuzzy Control Algorithm

This paper presents a compound fuzzy control algorithm method having modifiable factors based on PLC, and the modified fuzzy controller and PI regulator is realized by PLC, the system solves problems of imprecise paper cutter speeds, instability, and paper cuttings of different lengths. The results show that the system can effectively restrain influences from pure time-delays while maintaining stability and strong robustness.

Application of MR Damper in Structural Control Using Genetic Algorithm and Fuzzy Logic PID Tuning Methods

2007 ◽  
Author(s):  
Zhiqiang Gu ◽  
S. Olutunde Oyadiji
Keyword(s):  
Genetic Algorithms ◽  
Fuzzy Logic ◽  
Fuzzy Control ◽  
Pid Control ◽  
Fitness Function ◽  
Control Variable ◽  
Mr Damper ◽  
Fuzzy Pid Control ◽  
Pid Tuning ◽  
Input Variables

In this paper, the application of MR damper in structure control using PID tuning based on genetic algorithms and fuzzy logic is developed and used to control the vibrations of based-excited linear and nonlinear single degree-of freedom-systems, which represent building structures subjected to earthquake loading and are excited by means of the El Centro earthquake. For GA method, the fitness function, which is based on these three constraint conditions: the control variable, the error and the rise-time, is chosen in order to apply genetic algorithms to optimize the coefficients of a PID controller. For the fuzzy control, the PID parameters are found using fuzzy self-tuning for the fuzzy logic relationship between the parameters of PID control and the controller input variables e and ec . The adaptive fuzzy PID control, which uses the error e and the change of the error ec as the input variables, modifies the three PID parameters on line based on the fuzzy control principle. The Bouc-Wen model of MR damper is used to simulate the MR damper characteristics. The simulation results demonstrate that the MR damper, used in conjunction with PID tuning control is effective for controlling the vibration of the structure.

scholarly journals Navigation Algorithm Using Fuzzy Control Method in Mobile Robotics

2016 ◽  
Vol 19 (1) ◽  
pp. 19-23 ◽  
Author(s):  
Vladimír Cviklovič ◽  
Martin Olejár ◽  
Dušan Hrubý ◽  
Zuzana Palková ◽  
Ondrej Lukáč ◽  
...  
Keyword(s):  
Fuzzy Control ◽  
Mobile Robot ◽  
Mobile Robotics ◽  
Control Method ◽  
Autonomous Mobile Robot ◽  
Navigation Algorithm ◽  
Heading Angle ◽  
Left And Right ◽  
Input Variables ◽  
Fuzzy Control Algorithm

The issue of navigation methods is being continuously developed globally. The aim of this article is to test the fuzzy control algorithm for track finding in mobile robotics. The concept of an autonomous mobile robot EN20 has been designed to test its behaviour. The odometry navigation method was used. The benefits of fuzzy control are in the evidence of mobile robot’s behaviour. These benefits are obtained when more physical variables on the base of more input variables are controlled at the same time. In our case, there are two input variables - heading angle and distance, and two output variables - the angular velocity of the left and right wheel. The autonomous mobile robot is moving with human logic.

A System of Position Control for Cylinder Based on Self-Tuning Fuzzy Control

2012 ◽  
Vol 241-244 ◽  
pp. 1496-1499
Author(s):  
Rui Kun Gong ◽  
Li Jing Zhao ◽  
Chong Hao Wang ◽  
Ya Nan Zhang
Keyword(s):  
Fuzzy Control ◽  
Position Control ◽  
Fuzzy Controller ◽  
The Self ◽  
Accuracy Control ◽  
Strongly Nonlinear ◽  
Single Output ◽  
Control Precision ◽  
Self Tuning ◽  
Fuzzy Control Algorithm

For cylinder position servo system strongly nonlinear and uncertainty, This article puts forward cylinder position control system based on self-tuning fuzzy control. The self-tuning fuzzy control algorithm was introduced to ensure the application of cylinder position control. The self-tuning fuzzy controller we designed applied the control model of double input of position deviation and its deviations rate and single output of control quantity. The study suggested that the position control precision may reach ±0.25 mm.This system can make the cylinder position to get high accuracy control.

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.

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