High Performance Pressure Control for the Hydraulic Press Based on the Soft Relief Fuzzy PID Controller

2015 ◽  
Author(s):  
Qiang Zhang ◽  
Jianhua Wei ◽  
Jinhui Fang ◽  
Xiaoyi Wang
Keyword(s):  
Mathematical Model ◽  
Pid Controller ◽  
High Performance ◽  
Pressure Rise ◽  
Pressure Control ◽  
Hydraulic Press ◽  
Fuzzy Pid ◽  
Relief Valve ◽  
Fuzzy Pid Controller ◽  
Pressure Overshoot

A soft relief controller is proposed to solve the pressure overshoot problem of the hydraulic press. Whose basic idea is to make the proportional relief valve open in advance to limit the pressure rise rate to reduce the pressure overshoot. What’s more, the fuzzy PID controller is introduced to improve the control performance. Based on the mechanism modeling method, the complete mathematical model of the hydraulic press is established to conduct the simulation research. The correctness of the mathematical model is proved through experiments. Simulation and experiment results demonstrate that the soft relief fuzzy PID controller which combines the soft relief controller and the fuzzy PID controller can guarantee the hydraulic press has no overshoot during the pressure building-up process. Furthermore, a high steady precision is achieved and the adjust time can meet the demands of most hydraulic presses.

scholarly journals BLDC Motor Speed Control using Fuzzy Logic PID Controller and Comparing It with PI Controller

2019 ◽  
Vol 9 (2) ◽  
pp. 4917-4922
Keyword(s):  
Mathematical Model ◽  
Pid Controller ◽  
High Performance ◽  
Pi Controller ◽  
Dynamic State ◽  
Bldc Motor ◽  
Fuzzy Pid ◽  
Motor Speed ◽  
Brushless Dc ◽  
Fuzzy Pid Controller

In this project, mathematical model of the Brushless DC motor (BLDC) is developed and the closed-loop Fuzzy PID controller has been simulated in MATLAB-Simulink environment. The three-phase (BLDC) is developed and the DC power is supplied to this machine though six step inverter whose switching state is controlled by the hall signal. The hall effect sensor senses the rotor posit ion of the motor and it generates binary digit number which is decoded and given to the six-step inverter. The mathematical model is developed using the back emf equations and torque equation of the BLDC motor. The PI controller doesn’t operate properly during dynamic state and hence the fuzzy-PID-controller is better option to control and regulate the speed of the BLDC motor which has high performance in comparison to the PI controller. And, we can get the smooth speed-torque characteristics using Fuzzy PID controller.

On the Control System for Blank-Holder Force in Deep Drawing Based on Self-Tuning Fuzzy-PID Controller

2010 ◽  
Vol 97-101 ◽  
pp. 2995-3000
Author(s):  
Chun Ping Cao ◽  
Yu Sun
Keyword(s):  
Control System ◽  
Steady State ◽  
Dynamic Response ◽  
Pid Controller ◽  
Hydraulic Press ◽  
Fuzzy Pid ◽  
Blank Holder Force ◽  
Blank Holder ◽  
Fuzzy Pid Controller ◽  
Self Tuning

Blank-holder Force (BHF) control technology is an important guarantee for the quality of parts forming. Taking YJ28E—1000/1600Q hydraulic press as object, a hydraulic fuzzy control model based on self-tuning fuzzy-PID is built to deal with the undesirable dynamic response and the low steady-state precision of the hydraulic control system. The look-up table for optimal control parameters is generated from MATLAB Toolbox. A simulation study of the system shows that the dynamic response and steady-state precision is improved greatly by adopting this kind of self-adaptive fuzzy-PID controller.

Research on the Fuzzy PID Controller of Force Servo Hydraulic Press System

2021 ◽  
Author(s):  
Mingjian Zhou ◽  
Yuanjie Fang ◽  
Junjie Wang ◽  
Liqing Liu ◽  
Nailei Liu ◽  
...  
Keyword(s):  
Pid Controller ◽  
Hydraulic Press ◽  
Fuzzy Pid ◽  
Fuzzy Pid Controller

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 of Fuzzy Self-Turning PID Control Based on Simulink

2011 ◽  
Vol 52-54 ◽  
pp. 1644-1649 ◽  
Author(s):  
Jian Wen Chen ◽  
Zhan Jun He ◽  
Jin Chun Song ◽  
Chang Jian Pang
Keyword(s):  
Mathematical Model ◽  
Pid Control ◽  
Pid Controller ◽  
Dynamic Performance ◽  
Fuzzy Pid ◽  
Feed System ◽  
Fuzzy Pid Controller ◽  
Cnc Lathe ◽  
Control Capability ◽  
Controlled Object

In CNC lathe servo feed system, many parameters are uncertain, so it is difficult to establish accurate mathematical model of the feed system, and parameters of conventional PID controller can not change the parameters to adjust with the controlled object. Fuzzy PID controller, which has the advantages of conventional PID control and fuzzy control, can solve these problems very well. So we can make it applied in CNC lathe servo feed system. This paper has made a simulation of fuzzy self-turning PID controller in the MATLAB environment. The simulation shows that the fuzzy self-turning PID controller has a better control capability and a higher stability, and it improved the servo feed system dynamic performance.

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.

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