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.

Research of Control Strategy Based on the Electro-Hydraulic Proportion Position Control System

2013 ◽  
Vol 819 ◽  
pp. 238-243
Author(s):  
Yin Fa Zhu ◽  
Bing Bing Chen
Keyword(s):  
Control System ◽  
Pid Control ◽  
Pid Controller ◽  
Position Control ◽  
The Self ◽  
Fuzzy Pid ◽  
Fuzzy Pid Control ◽  
Fuzzy Pid Controller ◽  
Self Tuning ◽  
Position Control System

The self-tuning fuzzy PID controller of the electro-hydraulic proportion position control system is designed and researched. Compared the self-tuning fuzzy PID control with the traditional PID control through experiments for the track effect on sinusoidal signals, the results show that the self-tuning fuzzy PID controller has higher accuracy and better stability. It is a more excellent performance controller.

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.

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.

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

Fuzzy PID Control for Fast-Steering Mirror System

2014 ◽  
Vol 568-570 ◽  
pp. 1026-1030
Author(s):  
Xue Jin Bai ◽  
Yong Ming Qiao
Keyword(s):  
Control System ◽  
Transient Process ◽  
Pid Control ◽  
Pid Controller ◽  
High Speed ◽  
Mirror System ◽  
Pid Controllers ◽  
Fuzzy Pid ◽  
Fuzzy Pid Control ◽  
Fuzzy Pid Controller

Fast-steering mirror system demands higher accuracy and fast responding speed to track targets, but the conventional PID controllers cannot meet the demands. Instead, the fuzzy PID control can greatly improve the capturing and tracking capacities to high-speed dynamic targets. So we apply the fuzzy-PID controller in the positioning loop of the stabilized system, not only improving the transient process of the control system and decreasing the overshoot, but also enhancing the accuracy of tracking stabilization and response. At the end, simulations were performed to test the effectiveness of this method through the MATLAB platform.

Missile Autopilot Design Based on Fuzzy Self-Tuning Immune PID Control

2013 ◽  
Vol 739 ◽  
pp. 550-554 ◽  
Author(s):  
Xu Sheng Gan ◽  
Xue Qin Tang ◽  
Jian Guo Gao
Keyword(s):  
Pid Control ◽  
Pid Controller ◽  
Variable Parameter ◽  
Feedback Mechanism ◽  
Fuzzy Pid ◽  
Fuzzy Pid Control ◽  
Fuzzy Pid Controller ◽  
System A ◽  
Self Tuning ◽  
Better Than

A design of the fuzzy self-tuning immune PID controller is proposed. The controller, which combines immune feedback mechanism and fuzzy PID control, executes the self-tuning of PID parameters in the control system. A simulation experiment is presented in light of a tactical missile autopilot transfer function. Simulation result shows that the performance of fuzzy self-tuning immune PID controller is better than that of fuzzy PID controller, especially in its robust performance for variable parameter system.

Research on Electro-Hydraulic Proportional Self-Tuning Fuzzy-PID Control System Based on MATLAB

2013 ◽  
Vol 423-426 ◽  
pp. 2882-2885
Author(s):  
Min Jjie Li ◽  
Guang Sheng Ren
Keyword(s):  
Control System ◽  
Pid Controller ◽  
Mathematics Model ◽  
Fuzzy Pid ◽  
Fuzzy Pid Control ◽  
Fuzzy Pid Controller ◽  
Self Tuning ◽  
Set Up ◽  
Lifting System ◽  
Hydraulic Valve

The bogie separated equipment for straddle type monorail vehicle was researched, and the mathematics model of proportional hydraulic valve cylinder lifting system was set up and simulated. Based on the PID controller theory and the principle of fuzzy control, the fuzzy self-turning fuzzy-PID controller was designed. According to the fuzzy logic tool box and simulink of MATLAB, the simulation study was carried out. The results indicate that, the self-tuning fuzzy-PID controller can satisfy the requirements of the control system well.

scholarly journals Control Performance Improvement of Hydro-Viscous Clutch Based on Fuzzy-PID Controller

Energies ◽  
2021 ◽  
Vol 14 (24) ◽  
pp. 8282
Author(s):  
Xiangping Liao ◽  
Shuai Yang ◽  
Dong Hu ◽  
Guofang Gong ◽  
Xiongbin Peng
Keyword(s):  
Control System ◽  
Pid Control ◽  
Rotational Speed ◽  
Pid Controller ◽  
Water Pressure ◽  
Fuzzy Pid ◽  
Fuzzy Pid Control ◽  
Relief Valve ◽  
Fuzzy Pid Controller ◽  
Speed Fluctuation

As a rotational speed controller, a hydro-viscous clutch (HVC) is usually used in the constant pressure water supply system to maintain the needed water pressure constant. However, when the hydro-viscous clutch is working, it often suffers from the problem of output rotational speed fluctuation since the spool of proportional relief valve can easily get stuck. Consequently, water pressure will fluctuate too. A special pump control system of HVC was proposed based on the Fuzzy-PID controller for the purpose of reducing the fluctuation rate. The MATLAB simulation was carried out according to the mathematical model and the results show that the Fuzzy-PID control strategy is superior to traditional PID control. The corresponding experiment was performed and the result indicate that through applying the Fuzzy-PID controller based pump control system, the rotational output speed fluctuation of HVC can be inhibited from ±60π to ±6π rad/min, and the water pressure fluctuation is dropped from ±0.1 to ±0.002 MPa.

Simulation Research on Fuzzy PID Control for Transmission Shaft Rolling Control System

2014 ◽  
Vol 543-547 ◽  
pp. 1355-1359
Author(s):  
Jin Ying Meng ◽  
Xi Bin Wang ◽  
Zhi Qiang Liang ◽  
Jia Jie Pei ◽  
Tian Feng Zhou
Keyword(s):  
Control System ◽  
Pid Control ◽  
Dynamic Performance ◽  
Response Speed ◽  
Fuzzy Pid ◽  
Fuzzy Pid Control ◽  
Simulation Research ◽  
Nonlinear Properties ◽  
Fuzzy Pid Controller ◽  
Transmission Shaft

The transmission shaft rolling control system is characterized by time-varying and nonlinear properties. To improve the system's dynamic performance and of anti-interference ability, fuzzy PID control is proposed to apply to transmission shaft rolling control system. The mathematical model of the control system is built and a fuzzy PID controller is designed based on the fuzzy control theory. By using MATLAB/Simulink tool for comparison, the simulation results show that the fuzzy PID control compared with the conventional PID control, has improved the system's dynamic response speed by 0.04s. By amplitude 1 interference effect, the system's maximum overshoot is reduced by 3.4%.

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