scholarly journals Zelio Logic Control System for Horizontal Hydraulic Press

2019 ◽  
Vol 9 (1) ◽  
pp. 26
Author(s):  
Sumit Suresh Patil ◽  
Ayyankalai Muthuraja
Keyword(s):  
Control System ◽  
Control Algorithm ◽  
Control Program ◽  
Hydraulic Press ◽  
Logic Control ◽  
Formal Control ◽  
Programmable Logical Controller

Summary Modernization of control system of Horizontal hydraulic press of model 2240D with the usage of programmable logical controller, namely intellectual relay Zelio Logic is considered. The consequence of technological operations fulfillment such as pressing, non-formal control algorithm, choice motivation of PLC model SR3B261B, control program fragment in the FBD language is given.

Research of H∞ Robust Control for the Giant Die Forging Hydraulic Press’s Synchronous Control System under the Uncertainty Coefficient

2012 ◽  
Vol 190-191 ◽  
pp. 819-824 ◽  
Author(s):  
Ying Jian Deng ◽  
Zhong Wei Liu
Keyword(s):  
Control System ◽  
Robust Control ◽  
Control Algorithm ◽  
Hydraulic Press ◽  
National Defense ◽  
Synchronous Control ◽  
Performance Quality ◽  
System Synchronization ◽  
Uncertainty Coefficient

The giant hydraulic die press is our country national defense and the infrastructure essential equipment, the synchronous control system is the essential device to the giant forging hydraulic press, its synchronization control performance quality is good or bad will directly determine the quality of the product. This article through the proof of the theorem, gives the specific steps to achieve H∞ robust control algorithm. The simulation results show that: this control strategy has good inhibition to the change of system parameters, robustness is very strong, can well eliminate the system synchronization error.

Permanent Magnet Chatter Absorber with Fuzzy Logic Control

2009 ◽  
Vol 147-149 ◽  
pp. 290-295 ◽  
Author(s):  
Bogdan Broel-Plater ◽  
Stefan Domek ◽  
Arkadiusz Parus
Keyword(s):  
Fuzzy Logic ◽  
Control System ◽  
Fuzzy Control ◽  
Fuzzy Logic Control ◽  
Control Algorithm ◽  
Permanent Magnets ◽  
Practical Experience ◽  
High Energy ◽  
Logic Control ◽  
Machine Operators

The paper deals with semi-active chatter absorber based on an electrodynamic transducer built around high-energy permanent magnets. Also, a fuzzy logic control system for the absorber control system has been designed. The principal advantage of fuzzy control is the possibility to implement practical experience gained by machine operators in the control algorithm. Hence, the possibility of factoring such quantities, as vibrations experienced by selected points of the machine-tool, and sound emitted by working machine into the analyzed chatter absorber fuzzy control system has been studied in the paper. The control system has been tested by way of simulation with the use of the process and cutting force models.

Design Fuzzy Logic Control System of Automatic Irrigation Based on MINI2440 and C8051F410 MCU

2013 ◽  
Vol 739 ◽  
pp. 499-504
Author(s):  
He Xi Zhang ◽  
Dao Cai Chi ◽  
Li Xuan Wang ◽  
Tao Tao Chen ◽  
Yong Tao Wang
Keyword(s):  
Fuzzy Logic ◽  
Control System ◽  
Robust Control ◽  
Fuzzy Control ◽  
Fuzzy Logic Control ◽  
Control Algorithm ◽  
Fuzzy Controller ◽  
Control Mode ◽  
Logic Control ◽  
Controlling System

In this paper, the fuzzy controlling system of automatic irrigation was prepared and designed based on MINI2440 and C8051F410 MCU, in which MATLAB was embedded in C8051F410 MCU while WINCE5.0 was embedded in MINI2440. In the progress, the WINCE5.0 was developed by using C#. All the simulate results of fuzzy controller were shown by SIMLINK in the system. In this paper, we proposed a novel control mode and gave the Robust Control Algorithm of the fuzzy Control System.

Simulation and Research of Dual Brush-Less DC Motor Synchronization Control System

2014 ◽  
Vol 687-691 ◽  
pp. 304-308
Author(s):  
Gui Ying Wang ◽  
Xiang Xiang Cheng
Keyword(s):  
Motor Control ◽  
Control System ◽  
Control Algorithm ◽  
Control Program ◽  
Dc Motor ◽  
Synchronization Control ◽  
Fuzzy Pid ◽  
Pid Algorithm ◽  
Dc Motor Control ◽  
And Control

For dual synchronous brush-less DC motor control system’s operation problems due to load disturbance caused by poor synchronization performance, this article establish a mathematical model of brush-less DC motors and synchronous control system, based on the basis of comparison of various control methods and control synchronization control, use VUFPID control algorithm to compensate for the bias adjustable dual brush-less DC motor control program, and compare with conventional PID and fuzzy PID algorithm. Through the simulation results and conclusions show that VUFPID control algorithm can improve the control system coupled deviation synchronization accuracy, superior to conventional PID and fuzzy PID algorithm system.

Sistem Kontrol Optimal Fuzzy-Particle Swarm Optimization

2018 ◽  
Vol 9 (1) ◽  
pp. 1-5
Author(s):  
Fachrudin Hunaini ◽  
Imam Robandi ◽  
Nyoman Sutantra
Keyword(s):  
Fuzzy Logic ◽  
Particle Swarm Optimization ◽  
Control System ◽  
Membership Function ◽  
Fuzzy Logic Control ◽  
Particle Swarm ◽  
Optimization Method ◽  
Swarm Optimization ◽  
Motion Error ◽  
Logic Control

Fuzzy Logic Control (FLC) is a reliable control system for controlling nonlinear systems, but to obtain optimal fuzzy logic control results, optimal Membership Function parameters are needed. Therefore in this paper Particle Swarm Optimization (PSO) is used as a fast and accurate optimization method to determine Membership Function parameters. The optimal control system simulation is carried out on the automatic steering system of the vehicle model and the results obtained are the vehicle's lateral motion error can be minimized so that the movement of the vehicle can always be maintained on the expected trajectory

Commissioning brownstock washing controls for an evaporator limited mill

TAPPI Journal ◽  
2016 ◽  
Vol 15 (7) ◽  
pp. 459-464
Author(s):  
RICARDO SANTOS ◽  
PETER HART
Keyword(s):  
Control System ◽  
Negative Impact ◽  
Black Liquor ◽  
Pulp Mill ◽  
Control Program ◽  
Separation Point ◽  
Water Control ◽  
Oxygen Delignification ◽  
Percentage Points

An automated shower water control system has been implemented to reduce the volume and variability of weak black liquor being sent from the pulp mill to the evaporators. The washing controls attempt to balance the need for consistent and low soda carryover to the bleach plant with consistently high weak black liquor solids being sent to the evaporators. The washer controls were implemented on two bleachable grade hardwood lines (one with oxygen delignification, one without oxygen delignification) and one pine line. Implementation of the control program resulted in an increase in black liquor solids of 0.6 percentage points for the hardwood lines. Significant foam reduction was realized on the pine line since the pine black liquor solids were able to be consistently maintained just below the soap separation point. Low black liquor solids excursions to the evaporators were eliminated. Bleach plant carryover was stabilized and no negative impact on chemical consumption was noticed when controlling weak black liquor solids to recovery.

scholarly journals An Adaptive Neuro-Fuzzy Control of Pneumatic Mechanical Ventilator

Actuators ◽  
2021 ◽  
Vol 10 (3) ◽  
pp. 51
Author(s):  
Jozef Živčák ◽  
Michal Kelemen ◽  
Ivan Virgala ◽  
Peter Marcinko ◽  
Peter Tuleja ◽  
...  
Keyword(s):  
Control System ◽  
Control Algorithm ◽  
Fuzzy Inference ◽  
Fuzzy Controller ◽  
Mechanical Design ◽  
Mechanical Ventilator ◽  
Mechanical Ventilators ◽  
Inference System ◽  
Control Approach ◽  
Neuro Fuzzy

COVID-19 was first identified in December 2019 in Wuhan, China. It mainly affects the respiratory system and can lead to the death of the patient. The motivation for this study was the current pandemic situation and general deficiency of emergency mechanical ventilators. The paper presents the development of a mechanical ventilator and its control algorithm. The main feature of the developed mechanical ventilator is AmbuBag compressed by a pneumatic actuator. The control algorithm is based on an adaptive neuro-fuzzy inference system (ANFIS), which integrates both neural networks and fuzzy logic principles. Mechanical design and hardware design are presented in the paper. Subsequently, there is a description of the process of data collecting and training of the fuzzy controller. The paper also presents a simulation model for verification of the designed control approach. The experimental results provide the verification of the designed control system. The novelty of the paper is, on the one hand, an implementation of the ANFIS controller for AmbuBag pressure control, with a description of training process. On other hand, the paper presents a novel design of a mechanical ventilator, with a detailed description of the hardware and control system. The last contribution of the paper lies in the mathematical and experimental description of AmbuBag for ventilation purposes.

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