Fuzzy Control Based on Genetic Algorithm to Optimize the Mill Load

2013 ◽  
Vol 385-386 ◽  
pp. 827-830
Author(s):  
Yan Jiao Li ◽  
Jian Min Wang ◽  
Jie Zhang
Keyword(s):  
Genetic Algorithm ◽  
Fuzzy Control ◽  
Production Efficiency ◽  
Control Method ◽  
Good Control ◽  
Stable Operation ◽  
Control Effect ◽  
Efficient Operation ◽  
Load Optimization ◽  
Grinding System

Mill load is closely related to production efficiency and energy consumption, the purpose of mill load control is guaranteed to increase the production efficiency under the condition of safe and stable operation of the mill grinding. For ball grinding system has some characteristics of nonlinear, large time delay and time-varying, the conventional control method is hard to achieve good control effect, this paper proposes a optimization method of fuzzy control of mill load based on genetic algorithm. The control rules and membership functions has a great deal of subjectivity and arbitrariness. In order to make up this deficiency, using genetic algorithm better solve the mill load optimization. Make grinding system can safe, stable and efficient operation.

Using DCS to Realize Ball Mill Fuzzy Control System

2014 ◽  
Vol 568-570 ◽  
pp. 1131-1134
Author(s):  
Yan Jun Wang
Keyword(s):  
Control System ◽  
Fuzzy Control ◽  
Ball Mill ◽  
Control Method ◽  
Good Control ◽  
Pi Controller ◽  
Decoupling Control ◽  
Control Effect ◽  
Hot Air ◽  
Look Up Table

By way of summarizes operation experience, using fuzzy control method to realize the decoupling control of coal mill cold air damper, hot air damper and coal feeder, by using cascade control of fuzzy control look up table and PI controller in DCS, it’s convenient to realized the automatic control of ball mill. Practice proves that this method is easy to achieve and good control effect could be achieved.

Application of Fuzzy Control in Sewage Treatment System

2013 ◽  
Vol 765-767 ◽  
pp. 1818-1821
Author(s):  
Rui Zhang ◽  
Le Peng Song
Keyword(s):  
Mathematical Model ◽  
Fuzzy Control ◽  
Control Method ◽  
Fuzzy Controller ◽  
Sewage Treatment ◽  
Control Object ◽  
Good Control ◽  
Treatment System ◽  
Control Effect ◽  
Sewage Treatment System

Fuzzy control does not need to master the precise mathematical model of control object, but to determine the amount of the control object according to the control rules. This control method has a good control effect for the system with lag or random interference. It is a new attempt to treat the sewage with a PLC fuzzy controller. The control system is more reliable and it could achieve a good control effect. According to the features of the complexity of modern sewage treatment system and the difficulty of establishing accurate mathematical model, a fuzzy control method applied to the system with PLC is established and realized. The results showed that based on this method, the system is easy to realize and anti-interference ability is strong, a good adjustment quality is obtained.

Design of Fuzzy PID Controller for Water Level of Boiler Steam Drum Based on DSP

2011 ◽  
Vol 130-134 ◽  
pp. 3455-3458
Author(s):  
Yuan Fang Xin
Keyword(s):  
Control System ◽  
Fuzzy Control ◽  
Water Level ◽  
Pid Controller ◽  
Good Control ◽  
Fuzzy Pid ◽  
Control Effect ◽  
Fuzzy Pid Controller ◽  
Steam Drum ◽  
Pid Arithmetic

A control system for water level of boiler steam drum based on DSP microprocessor is designed in this paper. The technique of fuzzy control was applied to controlling the water level of the steam drum, the operational principle and application of the fuzzy-PID arithmetic are described. The water level controller with good control effect is developed. Firstly the hardware structure of system is introduced in the paper and then investigates the fuzzy-PID arithmetic carry out, and finally, the simplified program flowchart are given.

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.

Control of a polymerization reactor by fuzzy control method with genetic algorithm

2003 ◽  
Vol 27 (7) ◽  
pp. 1031-1040 ◽  
Author(s):  
Ayla Altınten ◽  
Sebahat Erdoğan ◽  
Hale Hapoğlu ◽  
Mustafa Alpbaz
Keyword(s):  
Genetic Algorithm ◽  
Fuzzy Control ◽  
Control Method ◽  
Polymerization Reactor

Research on Hydraulic Synchronous System Based on High Speed On/Off Valve

2010 ◽  
Vol 37-38 ◽  
pp. 1022-1026
Author(s):  
Zhong Liu ◽  
Cheng Jie Liang ◽  
Jin Yan Peng
Keyword(s):  
Fuzzy Control ◽  
High Speed ◽  
Good Control ◽  
Control Effect ◽  
Matlab Simulink ◽  
Synchronous System ◽  
Load Imbalance ◽  
Peak Speed ◽  
Simulative Model

The synchronous system of hydraulic lifting mechanism always could not get enough synchronous precision because of load imbalance and two-cylinder size discrepancies. The paper uses MATLAB/simulink toolbox to create simulative model of the system, and applies fuzzy control to improve synchronous precision. Simulative results show that the system adopted the fuzzy control enables further improved synchronous precision to 0.09mm, and the slave cylinder speed can follow the active cylinder speed well. The average peak speed is 20.5mm/s and 20mm/s. So for this synchronous system it has a good control effect.

Study on Multimode Intelligent Control for Ship Steering System

2011 ◽  
Vol 58-60 ◽  
pp. 2621-2633
Author(s):  
Ming Hui Wang ◽  
Yong Quan Yu ◽  
Bi Zeng
Keyword(s):  
Neural Network ◽  
Fuzzy Control ◽  
Intelligent Control ◽  
Control Method ◽  
Control Process ◽  
Steering System ◽  
Learning Ability ◽  
Effective Control ◽  
Control Effect ◽  
Ship Steering

The ship motion is characterized by nonlinearity, time varying, uncertainty and complex interference from the environment, therefore there are certain limits in conventional PID control and self-adapting control for ship steering system. This paper combines three intelligent control technologies, that is, fuzzy control, neural network and extension control, to propose a multimode intelligent control method. Fuzzy control is utilized to solve control problem of uncertainty system, and learning ability of neural network is utilized to optimize the controller parameters. A new multi-mode transition controller based on extension control is presented and well designed in this paper, which may realize smooth switching during control process. In order to satisfy the requirements of higher accuracy and faster response of complex system, every control strategy designed can realize ideal control effect within the scope of its effective control. The simulation experiment is made to test dynamic and static performances of ship steering system under model parameter perturbation and wave interference. The simulation results show that the control system achieves satisfactory performances by implementing the multimode intelligent control.

A Control Method for Load Balance between Upper and Lower Roll of Four-High Hot Rolling Mill

2014 ◽  
Vol 687-691 ◽  
pp. 167-170
Author(s):  
Li Ping Fan ◽  
Yi Liu
Keyword(s):  
Load Balance ◽  
Control Method ◽  
Balance Control ◽  
Good Control ◽  
Rolling Process ◽  
Control Effect ◽  
Good Product ◽  
Hot Rolling Mill ◽  
The Given ◽  
Good Product Quality

In the rolling process, the upper and lower working rolls of the mill usually under different load. In order to keep good product quality, load balance control is necessary. This paper proposes a control method which uses the torque difference between upper and lower roll to compensate the given current of the upper roll motor. Simulation results show that the proposed control method can give good control effect and keep load balance.

Fuzzy PI Control Strategy of the Air Bleeder Valve on SIMULINK

2012 ◽  
Vol 157-158 ◽  
pp. 433-436
Author(s):  
Yang Wang ◽  
Yin Yan Wang ◽  
Jian Wei Du ◽  
Gui Xin Wang
Keyword(s):  
Diesel Engine ◽  
Control Strategies ◽  
Engine Performance ◽  
Good Control ◽  
Fast Response ◽  
Transformation Process ◽  
Pi Control ◽  
Stable Operation ◽  
Control Effect ◽  
Fuel Delivery

In order to solve cylinder outbreak problem of high pressure, the blowoff system has been added at transformation process from conventional turbo diesel engine to sequential turbocharing diesel engine. Set up air bleeder valve model of diesel engine sequential turbocharing high condition based on SIMULINK software platform and the air bleeder valve regulated by fuzzy PI control strategies, when the stable operation and in low load conditions of diesel engine, analyses the burst control effect as increase the amount of fuel delivery at different situation. The simulation results show that the model has fast response, high control accuracy and good control effect of high burst pressure, achieve control of diesel engine performance, fuel economy and reliability.

scholarly journals Optimization of Fuzzy Control for Magnetorheological Damping Structures

2017 ◽  
Vol 2017 ◽  
pp. 1-14 ◽  
Author(s):  
Jianguo Ding ◽  
Xin Sun ◽  
Lifeng Zhang ◽  
Jiaoyan Xie
Keyword(s):  
Fuzzy Control ◽  
Seismic Waves ◽  
Subjective Experience ◽  
Control Method ◽  
Frame Structure ◽  
Semiactive Control ◽  
Reinforced Concrete Frame ◽  
Control Effect ◽  
Concrete Frame ◽  
Magnetorheological Damping

Due to the influence of nonlinearity and time-variation, it is difficult to establish an accurate model of a magnetorheological damping structure that adopts semiactive control. Fuzzy control is a relatively appropriate control method, but fuzzy control design is susceptible to human subjective experience, which will decrease the control effect. This paper proposes new fuzzy control rules based on a genetic algorithm (GA) and particle swarm optimization (PSO) and performs a numerical simulation for a three-layer reinforced concrete frame structure under conditions of an uncontrolled structure, fuzzy control, fuzzy control optimized by GA, fuzzy control optimized by PSO, and GA-optimized FLC control (GA-FLC) proposed by Ali and Ramaswamy (2008). The results show that (1) the fitness values of the convergence of the two types of optimized fuzzy control are close. The speed of the convergence of the fuzzy control optimized by PSO is faster than that of the fuzzy control optimized by GA, but its running speed is slower. (2) Comparing the acceleration and displacement of the structure under the conditions of three different seismic waves, the effect of the optimized fuzzy control is better than that of the human experience fuzzy control and GA-FLC.

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