Research on the Fuzzy PID Controller Based on PLC Applied in the Cold Pellet Production

2013 ◽  
Vol 284-287 ◽  
pp. 2291-2295
Author(s):  
Man Chen Xiong ◽  
Ling Long Wang ◽  
Yi Heng Jiang
Keyword(s):  
Pid Control ◽  
Pid Controller ◽  
Control Algorithm ◽  
Fuzzy Controller ◽  
Temperature Control System ◽  
Fuzzy Pid ◽  
Control Effect ◽  
Fuzzy Pid Control ◽  
Fuzzy Pid Controller ◽  
Drying System

Parameter self-setting fuzzy PID control algorithm for control drying temperature is proposed to improve the problem about big fluctuations in temperature and high pellet broken rate of traditional control on Cold pressure ball drying system in this paper, and the controller create intelligence temperature control system through combine fuzzy control and PID control. We establish fuzzy controller, preparation of fuzzy look-up table in PLC and combined with PID control module to realize fuzzy PID control algorithm, through the computer simulation to analyze the fuzzy PID controller control effect.

The Design and Simulation of Control System for Electrical Heating

2013 ◽  
Vol 325-326 ◽  
pp. 1193-1196
Author(s):  
Guo Sheng Xu
Keyword(s):  
Control System ◽  
Pid Control ◽  
Fuzzy Controller ◽  
Electrical Heating ◽  
Temperature Control System ◽  
Fuzzy Pid ◽  
Fuzzy Pid Control ◽  
Adaptive Fuzzy ◽  
Fuzzy Pid Controller ◽  
Electric Boiler

In view of the fact that the performance of any conventional PID control can t meet the requirement an electric boiler temperature control system, this paper puts forward a kind of improved algorithm for tuning the PID parameters. an adaptive fuzzy controller with adjusting factor is proposed in this paper. Experimental results illustrate that the adaptive fuzzy PID controller achieved the system performance index. The method of adaptive fuzzy PID control is a ideal method.

Multiple Models Fuzzy PID Controller Design in Air-Condition Temperature Control System

2013 ◽  
Vol 860-863 ◽  
pp. 1616-1619
Author(s):  
Hang Jiang ◽  
Xin Wang ◽  
Yi Hui Zheng ◽  
Li Xue Li ◽  
Yan Liu
Keyword(s):  
Temperature Control ◽  
Pid Control ◽  
Pid Controller ◽  
Controller Design ◽  
Temperature Control System ◽  
Multiple Models ◽  
Multiple Model ◽  
Fuzzy Pid ◽  
Fuzzy Pid Control ◽  
Fuzzy Pid Controller

This paper deals with the study of air-condition temperature control, which is a complex system of time varying, nonlinear, imprecise model and uncertain work environment. In this paper, a multiple models fuzzy PID controller is designed. Considering the air-condition temperature adjustment system to combat aircraft and the frequently changing external environment the multiple fuzzy PID controllers are estimated according to the temperature changing area. Each time, based on temperature tested, only one fuzzy PID Controller is chosen to improve the control precision. At the end, simulation results show that multiple model fuzzy PID control is superior to the single fuzzy PID control, which effectively improve the transient response of the system, the steady state accuracy and robustness, having good prospects for engineering applications.

The Design and Simulation of Scheelite Alkali Autoclave Reactor Fuzzy-PID Controller

2014 ◽  
Vol 599-601 ◽  
pp. 1098-1101
Author(s):  
Xiao Yao Luo ◽  
Bin Chen ◽  
Meng Yu ◽  
Qi Xiong
Keyword(s):  
Pid Control ◽  
Pid Controller ◽  
Fuzzy Controller ◽  
Fuzzy Pid ◽  
Matlab Simulation ◽  
Control Effect ◽  
Fuzzy Pid Controller ◽  
Autoclave Decomposition ◽  
Object Of Control ◽  
Autoclave Reactor

In view of the present situation of scheelite smelting technology in China, we analyze the existing equipment and process problems,put forward the technique of mechanical enhancement of scheelite and alkali autoclave decomposition method combining with the temperature, the temperature of reaction kettle as the main object of control, the fuzzy control and PID control combined to design a two-dimensional fuzzy controller, through the MATLAB simulation results show that, the control effect, safety and feasibility of good.

Study on Variable Universe Fuzzy PID Control for Landing Gear Based on MRF (Magneto-Rheological Fluid) Damper

2012 ◽  
Vol 233 ◽  
pp. 66-71 ◽  
Author(s):  
Shi Xing Zhu ◽  
Chan Juan Chen
Keyword(s):  
Pid Control ◽  
Pid Controller ◽  
Landing Gear ◽  
Fuzzy Pid ◽  
Control Effect ◽  
Fuzzy Pid Control ◽  
Fuzzy Pid Controller ◽  
Variable Universe ◽  
Shock System ◽  
Magneto Rheological

Aircraft landing gear shock system model was established, The system vibration differential equation and state-space equation were deserved。Based on the general fuzzy PID controller, the idea of fuzzy PID controller and its application in shock absorber system were studied. Based on MATLAB, the system simulation model was established, and the fuzzy PID control of semi-active suspension is analyzed compared to variable universe fuzzy PID control. The results show that the variable universe fuzzy PID control had better control effect.

Design of Compound Fuzzy Controller for Multivariable Systems

2009 ◽  
Vol 16-19 ◽  
pp. 150-154 ◽  
Author(s):  
Xue Ming Zhang ◽  
Gui Xiang Zhang ◽  
Feng Shao ◽  
Qing Jie Yang
Keyword(s):  
Control System ◽  
Pid Control ◽  
Pid Controller ◽  
Fuzzy Controller ◽  
Design Method ◽  
Design Procedure ◽  
Fuzzy Pid ◽  
Fuzzy Pid Control ◽  
Fuzzy Pid Controller ◽  
Tuning Rules

The PID controllers can be seen in lots of fields, but some complex control system cannot be controlled to achieve a desired performance index. A design method of the fuzzy PID controller that is based on the fuzzy tuning rules and formed by integrating two above control ideas is proposed in this paper. The design procedure about fuzzy PID control can be divided two steps: the first step is to build the fuzzy tuning rules by analysis, and to obtain the parameters of PID controller by reasoning, and then the control action can be determined by the PID control law. The simulation results and the practical control effects show that the compound fuzzy PID controller has better performance than that of the conventional PID control system and meet the practical demands.

The Application of Fuzzy PID Control Algorithm in Variable Frequency Speed Regulation System of Glass Edge Grinding Machine

2014 ◽  
Vol 697 ◽  
pp. 151-155
Author(s):  
Bing Deng ◽  
Guo Qiang Shen
Keyword(s):  
Pid Control ◽  
Pid Controller ◽  
Control Algorithm ◽  
Regulation System ◽  
Fuzzy Pid ◽  
Fuzzy Pid Control ◽  
Fuzzy Pid Controller ◽  
Speed Regulation ◽  
Grinding Machine ◽  
Glass Edge

Aiming at the deficiencies of traditional PID control algorithm, the application of Fuzzy PID control algorithm is proposed in variable frequency speed regulation system of glass edge grinding machine. The design of fuzzy PID controller is presented in the paper. The paper not only introduces the system principle and models for inverter and AC asynchronous motor but also tells the principle of Fuzzy PID Controller and its design method. A simulation model including traditional PID Controller and Fuzzy PID Controller is established in MATLAB/Simulink. Through the analysis of the difference between the two controlling outputs, the better performance of Fuzzy PID Controller in response speed, accuracy and stability is proved effectively. The result can be used as important criterion to the practical application of Fuzzy PID control algorithm.

Research on Application of Fuzzy PID Control in Linear Servo System

2013 ◽  
Vol 389 ◽  
pp. 556-562 ◽  
Author(s):  
Xiang Cheng Sun ◽  
Hai Chen Qin ◽  
Jian Kui Chen
Keyword(s):  
Pid Control ◽  
Pid Controller ◽  
Servo System ◽  
Fuzzy Pid ◽  
Direct Drive ◽  
Control Effect ◽  
Fuzzy Pid Control ◽  
Fuzzy Pid Controller ◽  
Dynamic Tracking ◽  
Research On Application

Due to the nonlinearity, time-varying and load disturbance in linear servo system, the conventional PID control is hard to get an ideal control effect, this paper deduces the mathematical model of the permanent magnet linear synchronous motor (PMLSM) direct drive system, designs a fuzzy PID controller by combining fuzzy control with conventional PID control, adjust the parameters of PID controller in real time by making use of fuzzy control's ability of adjusting online. Simulation and experimental results show that the fuzzy PID controller is superior to the conventional PID controller in responsiveness, steady performance and dynamic tracking, which can shorten the positioning time, improve the system positioning accuracy.

The Application and Simulation Research of the Fuzzy PID Control Used in PVC Polymerization Temperature Control System

2012 ◽  
Vol 466-467 ◽  
pp. 47-51 ◽  
Author(s):  
Jing Liu
Keyword(s):  
Control System ◽  
Pid Control ◽  
Pid Controller ◽  
Temperature Control System ◽  
Polymerization Temperature ◽  
Fuzzy Pid ◽  
Fuzzy Pid Control ◽  
Simulation Research ◽  
Fuzzy Pid Controller ◽  
On Line

The process of PVC polymerization is nonlinear and time-delayed. It is very difficult to establish an exact mathematical model. Based on the analysis of the conventional PID controller’s limitation, the fuzzy PID control system of PVC polymerization is introduced. A new kind of fuzzy PID controller is designed and the three parameters of PID can be self-tuned on-line. The simulation result proves that fuzzy PID controller is better than common PID controller.

Application of a New Smith Fuzzy PID in Electric Boiler Temperature Control System

2015 ◽  
Vol 727-728 ◽  
pp. 633-636 ◽  
Author(s):  
Qiang Gu ◽  
Feng Long Zheng ◽  
Bin Bin Liu ◽  
Wen Yan Yang
Keyword(s):  
Control System ◽  
Temperature Control ◽  
Pid Control ◽  
Pid Controller ◽  
Temperature Control System ◽  
Model Parameters ◽  
Fuzzy Pid ◽  
Fuzzy Pid Control ◽  
Fuzzy Pid Controller ◽  
Electric Boiler

Since the object model is time-varying and time-delay in the electric boiler temperature control system, Smith Fuzzy PID controller is applied in it. Simulation results in the paper show that the overshoot is reduced by 31.3% compared with the system under Smith PID control and the adjusting time reached a 30% reduction compared with those under Fuzzy PID control with T=380 and τ=110. In order to eliminate the oscillation problem in system when model parameters change, a new Smith Fuzzy PID controller with two degrees of freedom is applied, whose control performance is much better than that of Smith Fuzzy PID.

Simulation Analysis of Electro-Pneumatic Proportional Fuzzy-PID Control System Based on AMESim/Simulink

2014 ◽  
Vol 945-949 ◽  
pp. 2568-2572
Author(s):  
Si Yuan Wang ◽  
Guang Sheng Ren ◽  
Pan Nie
Keyword(s):  
Control System ◽  
Pid Control ◽  
Pid Controller ◽  
Simulation Analysis ◽  
Fuzzy Pid ◽  
Fuzzy Pid Control ◽  
Proportional Control ◽  
Fuzzy Pid Controller ◽  
Design Requirements ◽  
Set Up

The test rig for hydro-pneumatic converter used in straddle type monorail vehicles was researched, and its electro-pneumatic proportional control system was set up and simulated based on AMESim/Simulink. Compared fuzzy-PID (Proportion Integral Derivative) controller with PID controller through fuzzy logic tool box in Simulink, the results indicate that, this electro-pneumatic proportional control system can meet design requirements better, and fuzzy-PID controller has higher accuracy and stability than PID controller.

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