Simple Tuning Method of a Fuzzy PID Controller for a Class of Unstable Processes

2013 ◽  
Vol 321-324 ◽  
pp. 1649-1656
Author(s):  
Yao Qing Ren ◽  
Zhen Xu ◽  
Wen Hua Ding
Keyword(s):  
Pid Controller ◽  
Design Method ◽  
Phase Margin ◽  
Fuzzy Pid ◽  
Tuning Method ◽  
Fuzzy Pid Controller ◽  
Gain Margin ◽  
Solving Equations ◽  
Unstable Processes ◽  
Simulation Results

In this paper, a class of fuzzy Proportion-Integration-Differentiation (PID) controller is tuned for a class of unstable processes based on PID theory. Phase margin and gain margin method is used to design the controller. Moreover, in order to reduce complications of solving equations deduced from phase margin and gain margin, a global approximate method is proposed for those equations. Finally, the simulation results show that the design method not only can be applied to the class of unstable processes but also has a better robustness than traditional PID controller.

Steam Pressure of Foaming Machine of Fuzzy PID Control and Simulation

2012 ◽  
Vol 531-532 ◽  
pp. 726-731
Author(s):  
Yue Hua Xiong ◽  
Chun Liang Zhang ◽  
Bai Xiang Fu
Keyword(s):  
Pid Controller ◽  
Controller Design ◽  
Dynamic Performance ◽  
Steam Pressure ◽  
Fuzzy Pid ◽  
Fuzzy Pid Control ◽  
Tuning Method ◽  
Fuzzy Pid Controller ◽  
Pid Controller Design ◽  
High Control

This paper focus on designing a fuzzy PID controller design about the vapor pressure of the EPE foaming machine parameters, and raise a self-tuning method of PID parameters, and use the fuzzy control toolbox of MATLAB to simulate its control system, which are compared with the simulation of conventional PID controller, the results show the design of fuzzy PID controller have high control precision, small overshoot, good dynamic performance characteristics.

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.

Control of Hybrid Stepping Motor Drive Using Computational Verb PID Controllers

2013 ◽  
Vol 853 ◽  
pp. 428-434 ◽  
Author(s):  
Xue Qin Zheng
Keyword(s):  
Pid Controller ◽  
Pid Controllers ◽  
Motor Drive ◽  
Stepping Motor ◽  
Fuzzy Pid ◽  
Load Variations ◽  
Fuzzy Pid Controller ◽  
Hybrid Stepping Motor ◽  
Simulation Results ◽  
Low Performance

Thanks to the development of microprocessors, hybrid stepping motors have been widely used in many areas where they perform positioning operations. However, the stepping motor suffers from system variations, low performance and lack of adaptability to load variations, which slow down their responding speed of high-precision positioning operations. In this paper, a computational verb PID controller is proposed to control the position of a stepping motor drive. The simulation results show that the computational verb PID controller has better performances than conventional and fuzzy PID controllers. The simulation results also show that the responding speed and positioning accuracy of the controlled hybrid stepping motor were greatly improved. Computational verb PID controller has much less computational complexity than fuzzy PID controller.

A Saturation-Based Tuning Method for Fuzzy PID Controller

2013 ◽  
Vol 60 (11) ◽  
pp. 5177-5185 ◽  
Author(s):  
Xiao-Gang Duan ◽  
Hua Deng ◽  
Han-Xiong Li
Keyword(s):  
Pid Controller ◽  
Fuzzy Pid ◽  
Tuning Method ◽  
Fuzzy Pid Controller

Ziegler-Nichols Based Intelligent Fuzzy PID Controller Design of a SPM System with Parameters Variation

2011 ◽  
Vol 201-203 ◽  
pp. 2113-2118 ◽  
Author(s):  
Jium Ming Lin ◽  
Po Kuang Chang
Keyword(s):  
Relative Stability ◽  
Pid Controller ◽  
Controller Design ◽  
Design Method ◽  
Scanning Probe ◽  
Practical Implementation ◽  
Fuzzy Pid ◽  
Fuzzy Pid Controller ◽  
Pid Controller Design ◽  
Probe Microscope

This research is to extend Ziegler-Nichols based PID controller design method to the intelligent fuzzy PID controller design of a Scanning Probe Microscope (SPM) system, thus the relative stability can be reserved. In addition, one can see the hysteresis and parameters variation effects of the force actuator can be reduced. This improvement had been verified by practical implementation. Comparing the results with the design with the Ziegler-Nichols based PID controller, one can see that the proposed system is more robust.

Application of Compound PID Control in the DC Servo Motor

2009 ◽  
Vol 16-19 ◽  
pp. 145-149 ◽  
Author(s):  
Xiao Yan Song ◽  
Qing Jie Yang ◽  
Xue Ming Zhang ◽  
Qi Gao Feng
Keyword(s):  
Control System ◽  
Fuzzy Control ◽  
Pid Control ◽  
Pid Controller ◽  
Design Method ◽  
Servo System ◽  
Fuzzy Pid ◽  
Control Effect ◽  
Fuzzy Pid Controller ◽  
Performance Requirements

Although the traditional PID controller is widely used in many fields, the system parameters varying and external disturbances existing in the DC servo system will cause large overshoot or poor stability. To improve the performance of the PID controller, a compound servo control system combining the conventional PID control and the fuzzy control is presented to meet the demand of a vehicular antenna servo system in this paper. Incorporating the fuzzy control and the conventional PID control, this paper presents a design method of the fuzzy PID controller that is based on the fuzzy tuning rules and formed by integrating two above control ideas. Simulation results are presented to show the efficiency of the proposed controller. The practical control effect shows that the control system that adopts the fuzzy PID controller has better performance than that of the traditional PID control system, and meets the performance requirements of the servo system.

Study on Rotational Speed Intelligent Regulation of Diesel Generator Based on Fuzzy PID Algorithm

2014 ◽  
Vol 1008-1009 ◽  
pp. 1022-1026
Author(s):  
Le Yu Zhang ◽  
Zhao Jin ◽  
Xiao Bin Pan ◽  
Jian Yan
Keyword(s):  
Pid Control ◽  
Pid Controller ◽  
Mathematic Model ◽  
Fuzzy Pid ◽  
Diesel Generator ◽  
Pid Algorithm ◽  
Fuzzy Pid Controller ◽  
Governing System ◽  
Strong Robustness ◽  
Simulation Results

Based on a mathematic model of diesel generator mechanical centrifugal governor and the traditional PID control and fuzzy control, a fuzzy PID controller is designed so as to accomplish the self-adjustment of diesel generator mechanical governor parameters. The fuzzy PID controlling diesel generator mechanical governing system is simulated by Simulink and the simulation results suggest that the fuzzy self-adjusting PID control owns the merits of well dynamic property, strong robustness and better adaptability compared to the traditional PID control. Therefore, the performance of diesel generator rotate speed governing system is largely advanced.

scholarly journals Angular Position Control of 3-Cars Crane System Using Proposed Fuzzy-PID Controller

2021 ◽  
Vol 7 (1.) ◽  
Author(s):  
Şahin YILDIRIM
Keyword(s):  
Real Time ◽  
Simulation Study ◽  
Pid Controller ◽  
Position Control ◽  
Angular Position ◽  
The Other ◽  
Fuzzy Pid ◽  
Control Approach ◽  
Fuzzy Pid Controller ◽  
Simulation Results

This paper presents a novel control approach for 3 cars crane systems. Nowadays; some problems for carrying unpredicted loads of crane systems exist. On the other hand; long bar loads are very important to carry without touch on other materials in factories. In this simulation study, fuzzy based controllers were designed to control vibrations of 3 cars crane system. The simulation results are improved and show this kind of controllers will be employed in real time such systems.

Sign in / Sign up

Export Citation Format

Share Document