Research on Fuzzy Mathematics in PID Control

2014 ◽  
Vol 608-609 ◽  
pp. 875-879
Author(s):  
Hao Chen ◽  
Zhuo Qi Li
Keyword(s):  
Fuzzy Control ◽  
Pid Control ◽  
Pid Controller ◽  
Control Technology ◽  
Industrial Control ◽  
Pid Algorithm ◽  
Development Cycle ◽  
Short Development Cycle ◽  
Depth Study ◽  
Self Tuning

Aiming at the limitation of traditional PID algorithm in the field of control, the fuzzy control theory and traditional PID control algorithm are combined to realize parameter self-tuning function, a fuzzy self-tuning PID controller, and this algorithm is analyzed in-depth study. It provides a new solution of modern industrial control problem that combining with fuzzy control technology and PID control technology. The FPGA has high integration, short development cycle, the characteristics of strong reusability; fuzzy PID controller has a good practical value and optimistic application prospect based on FPGA.

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.

Driven Wheeled Robot Based on Fuzzy PID Algorithm Control Research

2013 ◽  
Vol 336-338 ◽  
pp. 463-466 ◽  
Author(s):  
Shao Jie Xu ◽  
Jing Fei Zhu ◽  
Su Ying Zhang ◽  
Yun Du
Keyword(s):  
Pid Control ◽  
Control Program ◽  
Dc Motor ◽  
Control Technology ◽  
Motor Speed ◽  
Brushless Dc ◽  
Pid Algorithm ◽  
Wheeled Robot ◽  
Dc Motor Control ◽  
Self Tuning

For wheeled robot motion control, brushless DC motor speed control system of wheeled mobile robot parameters time-varying, nonlinear, uncertainties and other factors, with the traditional PID control algorithm is difficult to meet the control requirements this article combination of traditional PID control technology and fuzzy control technology, is designed based on the parameters of fuzzy self-tuning PID DC motor control. This article describes the principles and design steps of fuzzy self-tuning PID Matlab simulation of the control program, the results show that the controller has achieved a good speed and stability.

The Research on Self-Adaptive Fuzzy PID Controller

2013 ◽  
Vol 373-375 ◽  
pp. 1462-1465
Author(s):  
Bin Liu ◽  
Gang Yao ◽  
Xiao Bing Xiao ◽  
Xu Sheng Yin
Keyword(s):  
Fuzzy Control ◽  
Pid Control ◽  
Pid Controller ◽  
Adaptive Fuzzy Control ◽  
Fuzzy Pid ◽  
Matlab Simulation ◽  
Fuzzy Pid Control ◽  
Adaptive Fuzzy ◽  
Self Tuning ◽  
Self Adaptive

The parameters of the traditional proportional-integral-derivative (PID) controller are hard to automatically adjust when the controlled object changes, which controls ineffective for time-varying, nonlinear system. Combine the fuzzy control and PID control, and use self-adaptive fuzzy control to achieve self-tuning PID parameters online. Using matlab simulation system, the results show that the self-adaptive fuzzy PID control effects have been improved than the conventional PID control.

Pump-Control-Motor Combined Speed Governing Control Platform Based on Virtual Instrument

2010 ◽  
Vol 37-38 ◽  
pp. 919-922
Author(s):  
Tian Hao Peng ◽  
Jia Dong Liu ◽  
Xiao Song Hao ◽  
Mei Sheng Yang
Keyword(s):  
Fuzzy Control ◽  
Virtual Instrument ◽  
Pid Controller ◽  
Experimental System ◽  
Speed Control ◽  
Control Model ◽  
Experimental Results ◽  
Control Technology ◽  
Variable Speed ◽  
Self Tuning

An integrated hydraulic speed control platform including fuzzy self-tuning PID controller is developed using LabVIEW. The pump-control-motor variable speed throttle combined speed governing experimental system is tested under the different speed governing control model. Experimental results show that, the complex speed control can be regulated to maintain a desired response and the fuzzy control technology enables better control characteristics.

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 Fuzzy Pid Control System of Temperatuer for Tertiary Air

2013 ◽  
Vol 341-342 ◽  
pp. 892-895
Author(s):  
Jun Chao Zhang ◽  
Shao Hong Jing
Keyword(s):  
Control System ◽  
Control Theory ◽  
Pid Control ◽  
Pid Controller ◽  
Dynamic Performance ◽  
Effective Control ◽  
Fuzzy Pid ◽  
Fuzzy Pid Control ◽  
Fuzzy Pid Controller ◽  
Self Tuning

The introduction of the AQC boiler has complex effects on the temperature of Tertiary air, traditional PID is difficult to achieve the effective control. Combined the method of the conventional PID with the fuzzy control theory, a fuzzy self-tuning PID controller is designed. Compared with traditional PID, results of simulation show that the fuzzy PID controller improves not only the adaptability and robustness of the system, but also the system's static and dynamic performance.

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.

BLDC Motor Torque Ripple Control Using Self-Tuning PID Fuzzy Control System

2016 ◽  
Vol 851 ◽  
pp. 459-463 ◽  
Author(s):  
Chao Wang ◽  
Zhuang Li ◽  
Guang Qing Kang ◽  
Chun Yan Zeng
Keyword(s):  
Control System ◽  
Fuzzy Control ◽  
Pid Control ◽  
Torque Ripple ◽  
Static Characteristic ◽  
Bldc Motor ◽  
Fuzzy Control System ◽  
Control Precision ◽  
Self Tuning ◽  
High Control

In order to suppress the torque ripple of the BLDC motor, at the same time considering the nonlinear and uncertainty of the BLDC motor, this paper mainly proposes a self-tuning PID fuzzy algorithm to control the torque ripple. Self-tuning PID fuzzy control is integrating the advantages of PID control system and fuzzy control system, using the error and change of error as inputs, and adjustment of PID parameter on-line by fuzzy control rules. Self-tuning PID fuzzy has the advantages of flexible and adaptable, and also have the characteristics of traditional PID control system such as broad applicability and high control precision. The results of simulation show that the self-tuning PID fuzzy control can suppress the torque ripple of BLDC motor effectively, the optimization of the dynamic and static characteristic of the system, satisfying the requirements of system performance, the superiority and reliability of the control strategy was verified.

Smith Prediction Based on Genetic Algorithm Self-Tuning PID Control

2014 ◽  
Vol 602-605 ◽  
pp. 1186-1189
Author(s):  
Dong Sheng Wu ◽  
Qing Yang
Keyword(s):  
Genetic Algorithm ◽  
Time Delay ◽  
Pid Control ◽  
Pid Controller ◽  
Control Method ◽  
Delay System ◽  
Time Delay System ◽  
Self Tuning ◽  
On Line ◽  
Turning Control

Aiming at the phenomena of big time delay are normally existing in industry control, this paper proposes an intelligent GA-Smith-PID control method based on genetic algorithm and Smith predictive compensation algorithm and traditional PID controller. This method uses the ability of on line-study, a self-turning control strategy of GA, and better control of Smith predictive compensation to deal with the big time delay. This method overcomes the limitation of traditional PID control effectively, and improves the system’s robustness and self-adaptability, and gets satisfactory control to deal with the big time delay system.

Fuzzy Control Tuning Method of Digital PID Parameters

2012 ◽  
Vol 499 ◽  
pp. 469-473
Author(s):  
Yan Zhong Huo ◽  
Guo Ling Niu ◽  
Shi Jun Ma ◽  
Xu Du
Keyword(s):  
Fuzzy Control ◽  
Pid Controller ◽  
Control Method ◽  
Parameter Tuning ◽  
Control Technology ◽  
Tuning Method ◽  
Parameters Tuning ◽  
Digital Pid ◽  
Controller Performance ◽  
Pros And Cons

As a control method, PID control is the most widely used in industrial processes. However, PID controller parameter tuning of the pros and cons of PID controller performance has been an important factor. Fuzzy control technology is an advanced intelligent control technology, because of its advanced features and easy implementation, it can develop rapidly. This paper describes the theory and method of fuzzy control to realize the dynamic PID controller parameters tuning approach to the PID controller to achieve the best control performance.

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