Study of Tobacco-Redrying System Based on Fuzzy PID Control

2012 ◽  
Vol 220-223 ◽  
pp. 1240-1243
Author(s):  
Yu Yu Zhu ◽  
Ya Jun Zhou
Keyword(s):  
Fuzzy Control ◽  
Pid Control ◽  
Fuzzy Inference ◽  
Fuzzy Pid ◽  
Fuzzy Pid Control ◽  
Control Scheme ◽  
Simulation Results ◽  
Performance Target

The process of tobacco-redrying has the characteristics of lagging, uncertainty and being nonlinear, so it is unable to satisfy every performance target only by using the traditional PID controlling method. In response to this reality, this paper, by using the fuzzy inference ability of fuzzy control, proposes a fuzzy PID based control scheme to achieve the online adjustment of the PID parameters in tobacco-redrying process and to make them in the required range. Simulation results show that the controller can effectively control the process of tobacco-redrying.

Fuzzy PID Control Strategy in the Application of the MPPT

2015 ◽  
Vol 734 ◽  
pp. 755-758 ◽  
Author(s):  
Huan Yong Qiu ◽  
Yi Qun Yang
Keyword(s):  
Fuzzy Control ◽  
Pid Control ◽  
External Environment ◽  
Fuzzy Pid ◽  
Fuzzy Pid Control ◽  
Maximum Power Point ◽  
Asynchronous Control ◽  
Simulation Results ◽  
Low Efficiency ◽  
Power Point

In photovoltaic MPPT control ,Compared with the traditional methods ,the conventional fuzzy algorithm had overcome the shortcomings of low accuracy, tracking slow and low efficiency from the external environment changes, And have no need to have excessive demands on the precision of the sensor and no "false positives" , Volatile situation still exist around the track points for it is asynchronous control, so there is a steady state error .A new method was proposed which combines the principle of fuzzy control and the PID control theory in this paper , The simulation results show the fuzzy PID can not only quickly respond to changes in the external environment, which can effectively eliminate the work of the maximum power point of the oscillation in fuzzy control and also make up shortcomings of a longer transition time. the simulation results proved the superiority of this algorithm.

Intelligent Information of TS Fuzzy PID Control System of BLDCM

2013 ◽  
Vol 846-847 ◽  
pp. 313-316 ◽  
Author(s):  
Xiao Yun Zhang
Keyword(s):  
Control System ◽  
Dynamic Model ◽  
Pid Control ◽  
Control Method ◽  
Design Method ◽  
Fuzzy Pid ◽  
Fuzzy Pid Control ◽  
Control Precision ◽  
Simulation Results ◽  
Intelligent Information

This paper presented a new method based on the Fuzzy self - adaptive PID for BLDCM. This method overcomes some defects of the traditional PID control. Such as lower control precision and worse anti - jamming performance. It dynamic model of BLDCM was built, and then design method for TS fuzzy PID model is given, At last, it compared simulation results of PID control method with TS Fuzzy PID control method. The results show that the TS Fuzzy PID control method has more excellent dynamic antistatic performances, as well as anti-jamming performance. The experiment shows that TS fuzzy PID control has the stronger adaptability robustness and transplant.

Induction Heating Furnace Temperature Control Based on the Fuzzy PID

2012 ◽  
Vol 217-219 ◽  
pp. 2463-2466 ◽  
Author(s):  
Xue Gang Hou ◽  
Cheng Long Wang
Keyword(s):  
Fuzzy Control ◽  
Temperature Control ◽  
Induction Heating ◽  
Pid Control ◽  
Pid Controller ◽  
Heating Furnace ◽  
Fuzzy Pid ◽  
Fuzzy Pid Control ◽  
Furnace Temperature ◽  
Run Up

Induction heating furnace temperature control is a complex nonlinear hysteretic inertial process, it's difficult to obtain an accurate mathematical model because the temperature and disturb from outside is complicated. The normal PID control algorithm is hard to satisfy the standards of control. The fuzzy PID controller provided in this article is a combination between fuzzy control and the traditional PID control. The Fuzzy control theory is used to setting the ratio, the integral and the differential coefficient of the PID control. In the run-up stage, rapidity is guaranteed, overstrike and the steady-state error is up to the mustard. An example indicates that fuzzy PID control is superior to the normal PID controller.

Research on the Fuzzy PID Speed Control System of Permanent Magnet Linear Synchronous Motor Based on Genetic Algorithm

2014 ◽  
Vol 494-495 ◽  
pp. 1582-1586 ◽  
Author(s):  
Jun Liu ◽  
Qian Wei Xie
Keyword(s):  
Genetic Algorithm ◽  
Fuzzy Control ◽  
Pid Control ◽  
Linear Time ◽  
Fuzzy Pid ◽  
Fuzzy Pid Control ◽  
Fuzzy Pid Controller ◽  
Stability Performance ◽  
Control Rules ◽  
Genetic Algorithm Method

Focusing on the non-linear, time-varying, strong coupling and external load disturbance existing in PMLSM, a fuzzy PID controller based on genetic algorithms is designed to control the speed of PMLSM by absorbing the advantages of PID control and fuzzy control, and the genetic algorithm method is used to optimize fuzzy control rules. A simulation experiment was made to compare the effects of traditional PID control and fuzzy PID based on genetic algorithm control by Matlab. The simulation results verify that fuzzy PID control based on genetic algorithm is superior to PID control in dynamic stability performance and speed tracking power.

Application of Fuzzy PID Control in Sluice Control

2012 ◽  
Vol 241-244 ◽  
pp. 1248-1254
Author(s):  
Feng Chen Huang ◽  
Hui Feng ◽  
Zhen Li Ma ◽  
Xin Hui Yin ◽  
Xue Wen Wu
Keyword(s):  
Fuzzy Control ◽  
Pid Control ◽  
Information Integration ◽  
Pid Controller ◽  
Fuzzy Pid ◽  
Proportional Integral Derivative ◽  
Fuzzy Pid Control ◽  
Tuning Method ◽  
Fuzzy Pid Controller ◽  
Self Tuning

Fuzzy control, based on traditional Proportional-Integral-Derivative (PID) control, is used to improve the management of a hydro-junction’s sluice scheduling. In this study, we combined the PID and Fuzzy control theories and determined the PID parameters of the fuzzy self-tuning method of a hydro-junction’s sluice. A fuzzy self-tuning PID controller and its algorithm were designed. In hydro-junction sluice control, the Fuzzy PID controller can modify PID parameters in real-time, resulting in a more dynamic response. The application of the fuzzy self-tuning PID controller in the CiHuai River project information integration system yielded very good results.

Fuzzy PID Control and Simulation of Wind Power Generation Yaw System

2014 ◽  
Vol 953-954 ◽  
pp. 353-356 ◽  
Author(s):  
Fan Yang ◽  
Tong Yang ◽  
Xiao Hong Yang
Keyword(s):  
Pid Control ◽  
Pid Controller ◽  
Fuzzy Pid ◽  
Fuzzy Pid Control ◽  
Fuzzy Pid Controller ◽  
Time Performance ◽  
System A ◽  
Self Tuning ◽  
Simulation Results ◽  
The Stability

Aimed at the high inertia and non-linear characteristics of yaw system, a parameter self –tuning fuzzy PID controller is designed. The controller can adjust the PID parameters based on the wind direction variation, and make the turbines track the coming wind timely to obtain maximum power output. Simulation results show that the controller has good real-time performance and robustness compared with the traditional PID control. It can lower the fluctuation and overshoot, and improve the stability of the yaw system significantly.

Research of Large Erecting Control System Based on Fuzzy PID Control Algorithm

2015 ◽  
Vol 743 ◽  
pp. 146-149
Author(s):  
Wen Liang Guan ◽  
Qin He Gao ◽  
Yi Hong Li ◽  
Zhi Hao Liu
Keyword(s):  
Pid Control ◽  
Control Algorithm ◽  
Control Model ◽  
Control Performance ◽  
Fuzzy Pid ◽  
Dynamics Model ◽  
Fuzzy Pid Control ◽  
Model Control ◽  
Simulation Results ◽  
The Stability

Dynamics model and Electro-hydraulic proportional control model were established using Simulink and AMESim, Co-simulation was did based on the model. Control Performance of erecting system is Improved based on fuzzy PID control algorithm. Simulation results show that, Overshoot at level exchanging is small, the response is fast and the stability is improved based on fuzzy PID control algorithm.

Automatic Equipment Design of Intelligent Manufacturing Flexible Production Line Based on Industrial Motorized Spindle

2022 ◽  
Vol 15 (2) ◽  
pp. 1-13
Author(s):  
Runqin He
Keyword(s):  
Pid Control ◽  
Production Line ◽  
Intelligent Manufacturing ◽  
Fuzzy Pid ◽  
Fuzzy Pid Control ◽  
Motorized Spindle ◽  
Automatic Equipment ◽  
Automatic Production ◽  
Control Scheme ◽  
Automatic Production Line

Based on the previous research on the production line automation, this paper carries out further research and further design and development on the basis of the original production line automation equipment. In this paper, the overall design of the automatic production line is carried out, and the various systems in the automatic production line are optimized, and the backward instruments are eliminated, and then some more advanced and convenient instruments are applied. Then, the hardware and software of the automatic production line are studied respectively, and the human-computer interaction module and real-time main control circuit module are re developed, and the electric shaft is applied to the automatic production line. Finally, the fuzzy PID controller of the stepping motor is designed. The experiment shows that the fuzzy PID control scheme is better than the traditional PID control scheme. After the rationalization of the system, the quality robustness of proactive planning is improved obviously. Then, the temperature of motorized spindle was tested.

A New Fuzzy PID Control System Based on Fuzzy PID Controller and Fuzzy Control Process

2020 ◽  
Vol 22 (7) ◽  
pp. 2163-2187
Author(s):  
Nguyen Dinh Phu ◽  
Nguyen Nhut Hung ◽  
Ali Ahmadian ◽  
Norazak Senu
Keyword(s):  
Control System ◽  
Fuzzy Control ◽  
Pid Control ◽  
Pid Controller ◽  
Control Process ◽  
Fuzzy Pid ◽  
Fuzzy Pid Control ◽  
Fuzzy Pid Controller

Research on Self-Tuning Fuzzy PID Control Strategy of Metallurgy Furnace Temperature

2012 ◽  
Vol 472-475 ◽  
pp. 3063-3066
Author(s):  
Rong Luo ◽  
Lun Wei Chen ◽  
Hong Bo Ren ◽  
Cheng Yu Liu
Keyword(s):  
Fuzzy Control ◽  
Pid Control ◽  
Control Algorithm ◽  
Control Method ◽  
Fuzzy Pid ◽  
Fuzzy Pid Control ◽  
Furnace Temperature ◽  
Advantages And Disadvantages ◽  
Self Tuning ◽  
Concrete Control

Aim at the effect of the control method in traditional metallurgy furnace temperature is not good, a self-tuning fuzzy PID control method combining fuzzy control with PID control was proposed in this paper based on the analysis of the advantages and disadvantages of the PID control and fuzzy control method, and a concrete control algorithm was put forward and simulation experiment was finished. The simulation results show that the effect of the controller is good, and the control of system is fast and smoothly according to it.

Sign in / Sign up

Export Citation Format

Share Document