Application of Adaptive Fuzzy-PID Algorithm in Control of Pipeline Pressure

2013 ◽  
Vol 336-338 ◽  
pp. 637-640
Author(s):  
Dong Hui Li ◽  
Yi Hui Xu
Keyword(s):  
Control System ◽  
Dynamic Performance ◽  
Mass Conservation ◽  
Pressure Control ◽  
Fuzzy Pid ◽  
Adaptive Fuzzy ◽  
Pid Algorithm ◽  
Pressure Control System ◽  
Feed Forward Controller ◽  
Pipeline Pressure

Mathematical model of pipeline pressure is built according to mass conservation. Aiming at solving the poor adaptability of routine PID algorithm and the disturbance of inlet steam, adaptive fuzzy-PID algorithm and Feed-forward controller are proposed in the control system. System simulation is conducted by MATLAB, and parameter self-tuning rules determined by different errors are studied. Simulation results show that the pressure control system has better static and dynamic performance such as quicker response, smaller overshoot and better capacity of resisting disturbance.

Adaptive Fuzzy PID Applied in Steam Pressure Control System

2012 ◽  
Vol 485 ◽  
pp. 203-206
Author(s):  
Yun Jing Liu ◽  
Feng Wen Wang
Keyword(s):  
Control System ◽  
Control Strategy ◽  
Pid Control ◽  
Pressure Control ◽  
Steam Pressure ◽  
System Response ◽  
Fuzzy Pid ◽  
Fuzzy Pid Control ◽  
Adaptive Fuzzy ◽  
Pressure Control System

Boiler steam pressure control system is important because of affecting the turbine speed directly. In engineering, the steam pressure control system is mostly dominated by traditional PID control. But the traditional PID control strategy can’t obtain satisfied control effects with the changing of the fuel and give-wind flow. The use of intelligent control strategy has been studied in recent years in order to improve steam pressure control. In this paper steam pressure control system with adaptive fuzzy PID control is presented, and the simulation results based on MATLAB show that the proposed algorithm can largely improve the system response performance compared to the traditional PID control.

The Liquid Surface Pressure Control System for Low Pressure Die Casting Based on Fuzzy PID

2013 ◽  
Vol 706-708 ◽  
pp. 1063-1067
Author(s):  
Hai Feng Lin ◽  
Liu Qing Du ◽  
Li Ping Xiong
Keyword(s):  
Control System ◽  
Surface Pressure ◽  
Liquid Surface ◽  
Die Casting ◽  
Pressure Control ◽  
Low Pressure ◽  
Fuzzy Pid ◽  
Low Pressure Die Casting ◽  
Pressure Control System ◽  
Pressure Die Casting

The Liquid Surface Pressure Control is the key factor for the guarantee of Low Pressure Die Casting Quality. Regarding to the disadvantages of conventional PID Control such as pressure fluctuation, poor repeatability of the pressure curve, and so on, we propose Liquid Surface Pressure Control System (LSPCS) based on Fuzzy Adaptive PID. Design method of Fuzzy PID Controller has been discussed, and the realization methods of the hardware and software in this system are developed. This proposed system has a good performance in practice.

Guiding mechanism design and precision pressure control in composites filament winding system

2016 ◽  
Vol 231 (4) ◽  
pp. 616-634
Author(s):  
Pengbing Zhao ◽  
Jinzhu Zhou ◽  
Jin Huang
Keyword(s):  
Control System ◽  
Pid Controller ◽  
Pressure Control ◽  
Experimental Results ◽  
Nonlinear Flow ◽  
Grey Prediction ◽  
Fuzzy Pid ◽  
Fuzzy Pid Controller ◽  
Pressure Control System ◽  
Rolling Guide

During the composite winding process, pressure fluctuation will affect the density and homogeneity of the products and will make the interfacial strength disaccord with the fiber volume fraction. In order to improve the guiding precision and stability of the winding pressure, the bearing guide is replaced by the rolling guide in designing the pressure guiding mechanism, and parametric model of the guiding mechanism is established based on dynamics experiment of the joint surfaces. By analyzing the modal and harmonic response, the corresponding measures for improvement are proposed. Experimental results show that the designed guiding mechanism based on the rolling guide has high precision and perfect stability. Additionally, roundness error and installation error of the mandrel can cause the winding pressure to fluctuate and the gas compressibility, nonlinear flow, dead zone, cylinder friction, measurement noise and other nonlinear disturbances have significant impact on the pneumatic pressure control system. Considering the above circumstance, an adaptive fuzzy proportional–integral–derivative (PID) controller based on the grey prediction is proposed. By predicting the output pressure, trend of the pressure signal can be reflected accurately, which provides a reliable basis for the decision-making of the fuzzy PID controller. Simultaneously, two separate fuzzy inference systems are employed to adjust the step length of the predictive control and the scale factor of the step self-tuning algorithm. Simulation and experimental results show that the fuzzy PID controller based on grey prediction has shorter settling time, smaller overshoot and error, stronger robustness and interference immunity. The designed guiding mechanism and control algorithm have effectively improved the precision and stability of the pressure control system for the composite materials winding formation.

Acid-pickling plates and strips speed control system by microwave heating based on self-adaptive fuzzy PID algorithm

2012 ◽  
Vol 19 (8) ◽  
pp. 2179-2186 ◽  
Author(s):  
Biao Yang ◽  
Jin-hui Peng ◽  
Sheng-hui Guo ◽  
Shi-min Zhang ◽  
Wei Li ◽  
...  
Keyword(s):  
Control System ◽  
Microwave Heating ◽  
Speed Control ◽  
Fuzzy Pid ◽  
Acid Pickling ◽  
Adaptive Fuzzy ◽  
Pid Algorithm ◽  
Speed Control System ◽  
Self Adaptive
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