On Synchronous Balancing System of Huge-Scale Hydraulic Press’s Moving Beam Based on Fuzzy Self-Tuning PID Controller

2011 ◽  
Vol 48-49 ◽  
pp. 757-766
Author(s):  
Yu Cai Zhou ◽  
Shao Jun Liu ◽  
Ming Hui Huang ◽  
Yi Deng ◽  
Jun Duan
Keyword(s):  
Fuzzy Logic ◽  
Experimental Test ◽  
Pid Controller ◽  
High Accuracy ◽  
Hydraulic Press ◽  
Eccentric Load ◽  
Synchronization System ◽  
Moving Beam ◽  
Self Tuning ◽  
Set Up

The dynamic model of the synchronous balancing system of huge-scale hydraulic press was set up based on analyzing of force acted on 800MN huge scale hydraulic press’s moving beam .A self-tuning PID controller was designed and simulated by using the MATLAB fuzzy logic too1．The simulation result shows that it is very effective to overcome the eccentric load and parameter variety ,in additon ,in order to check the real control efficency , The related experiments were carried on the 315T experimental test special-purpose press as well as simulation anylyzing ,which was built for 800MN huge scale hydraulic press’s design and anylyzing.The results both show that the hydraulic press’s synchronization system with the fuzzy self-tuning PID controller has a slight overshoot，rapid response and high accuracy.

Co-Simulation Research of the Balancing Control of the Moving Beam of a Heavy Hydraulic Press During the Die Forging Process

2017 ◽  
Author(s):  
Wenzhu Wang ◽  
Dong Du ◽  
Rendong Wu ◽  
Chaolong Yuan ◽  
Baohua Chang
Keyword(s):  
Control Process ◽  
Virtual Prototype ◽  
Hydraulic Press ◽  
Heavy Duty ◽  
Eccentric Load ◽  
Forging Process ◽  
Die Forging ◽  
Moving Beam ◽  
Synchronous Rectification ◽  
Balancing Control

A virtual prototype of the moving beam balancing system of a heavy-duty hydraulic press working under die forging function is built with Adams, AMESim and Simulink, and the balancing control process is analyzed using this prototype. The moving beam of the heavy-duty hydraulic press may tilt due to the eccentric load during the die forging processing, and thus affect the forging quality and the safety of the press. So it is necessary to research the beam balancing control process. Compared to the traditional methods based on simplified mathematical models, virtual prototype technology can obtain a co-simulation model, avoid tedious formula derivation and solving work, and save test time and cost. Based on the analysis of the working principle of balancing system, this paper establishes a dynamical model of the moving beam, a hydraulic circuit model of the single balancing system and a controller model using Adams, AMESim and Simulink, respectively. Then a virtual prototype is built using the three models via co-simulation interface files. The eccentric load signal is constructed in AMESim according to the variation of eccentric load during die forging process. By adjusting the controller parameters, the rapid balancing of the moving beam under eccentric load conditions is realized, and high precision of dynamic balancing and steady equilibrium is obtained. The simulation results show that the single balancing unit can achieve effective balancing of the moving beam, and the co-simulation analysis method based on the virtual prototype built with Adams, AMESim and Simulink is feasible in the research of the synchronous rectification of the moving beam. This work is a useful exploration in the research of synchronous rectification of moving beams.

scholarly journals Decoupling Fuzzy-Neural PID Controller for TITO Nonlinear Systems

2016 ◽  
Vol 14 (2) ◽  
pp. 12-19 ◽  
Author(s):  
I. Ganchev ◽  
S. Ahmed ◽  
A. Taneva ◽  
M. Petrov
Keyword(s):  
Nonlinear System ◽  
Pid Controller ◽  
Fuzzy Pid ◽  
Neural Structure ◽  
Tuning Parameters ◽  
Fuzzy Pid Controller ◽  
Fuzzy Neural ◽  
Design Paradigm ◽  
Self Tuning ◽  
Set Up

AbstractThis paper presents a fuzzy-neural structure of a Decoupling Fuzzy PID controller with self-tuning parameters. This structure is appropriate for Two-Input-Two-Output (TITO) nonlinear system. The main advantage here is that the equation of classical PID control and decoupling coefficients are used as a Sugeno function into the fuzzy rules. Hence the designed decoupling fuzzy PID controller can be viewed as a natural similarity to the conventional one with decoupling elements. A benchmark quadruple tank, implementing a TITO nonlinear system is considered to illustrate the benefits of the design paradigm. The performance of this set up was studied for reference tracking and disturbance rejection cases. Simulation results confirm the effectiveness of the proposed solution.

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.

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