The research on visual industrial robot which adopts fuzzy PID control algorithm

2017 ◽  
Author(s):  
Yifei Feng ◽  
Guoping Lu ◽  
Lulin Yue ◽  
Weifeng Jiang ◽  
Ye Zhang
Keyword(s):  
Pid Control ◽  
Control Algorithm ◽  
Industrial Robot ◽  
Fuzzy Pid ◽  
Fuzzy Pid Control

scholarly journals Research on Intelligent Control System of Thermal Print Head Based on FPGA

2021 ◽  
Author(s):  
Yang Xu ◽  
Sheng Wang ◽  
Ying Peng
Keyword(s):  
Pid Control ◽  
Control Algorithm ◽  
Control Method ◽  
Print Quality ◽  
Fuzzy Pid ◽  
Single Chip ◽  
Fuzzy Pid Control ◽  
Print Head ◽  
Field Programmable ◽  
Time Required

Thermal print head heating realtime temperature fluctuations are too large, often causing damage to the print head heating point, resulting in poor print quality and unsatisfactory print results. Therefore, in order to improve the stability of the thermal print head during printing, and at the same time solve the inefficiency of the traditional single chip microcomputer control of the thermal print head heating method, a field programmable gate array (FPGA) based thermal print head heating control method is proposed. In order to control the core, the intelligent fuzzy PID control algorithm is used to ensure that the temperature of the print head can be stabilized quickly. Through simulation and experimental verification, it is shown that the intelligent fuzzy PID control algorithm greatly improves the temperature stabilization effect, and the time required to reach stability short, not only improve the printing accuracy, but also extend the life of the print head.

The Improvement of Anti-Surge Control on Air Separation Compressor

2011 ◽  
Vol 383-390 ◽  
pp. 2991-2995
Author(s):  
Chang Hong Jiang ◽  
Shao Zhong Lu ◽  
Lian Fang Liu
Keyword(s):  
Least Squares ◽  
Pid Control ◽  
Control Algorithm ◽  
Control Method ◽  
Regression Equation ◽  
Air Separation ◽  
Fuzzy Pid ◽  
Fuzzy Pid Control ◽  
Compressor Surge ◽  
Surge Control

This paper mainly describes the reasons for compressor surge and damage, and provide the traditional control method, which can not meet the growing needs, the improved control method, which according to the data using least squares curve to determine surge control regression equation and make the compressor operate safely by using the fuzzy PID control algorithm on the parameter adjustment.

Design on Test Bench of Safety Belt Emergency Locking Property

2014 ◽  
Vol 490-491 ◽  
pp. 640-643
Author(s):  
Chun Yan Tian ◽  
Mei Yang ◽  
Zhi Huan Lan ◽  
Cheng Da Ning ◽  
Yi Guo Ji
Keyword(s):  
Mechanical System ◽  
Pid Control ◽  
Control Algorithm ◽  
Test Bench ◽  
Fuzzy Pid ◽  
Fuzzy Pid Control ◽  
Control Center ◽  
Safety Belt ◽  
Controlling System

The mechanical system and controlling system of test bench of safety belt emergency locking property are designed. Safety belt emergency locking property of a moving cars rider can be simulated by changing direct currents acceleration, so multifarious cars safety belt emergency locking property can be examined by the equipment which is developed by using engineering computer as control center,PARKER1505 and VC6.0.Fuzzy PID control algorithm is adopted to decrease the influence and enhance the systems robust.

Hybrid Fuzzy PID Control of Hydraulic Robot

2002 ◽  
Author(s):  
Rong Liu ◽  
Xuanyin Wang ◽  
Xuchu Huang
Keyword(s):  
Pid Control ◽  
Control Algorithm ◽  
Nonlinear Differential Equations ◽  
Target Position ◽  
Hydraulic Control ◽  
Fuzzy Pid ◽  
Fuzzy Pid Control ◽  
Linear Control Theory ◽  
Uncertain Dynamics ◽  
Hybrid Fuzzy Pid

This paper presents a fuzzy tracking control methodology for hydraulic control system of robot with generalized pulse modulation (GPCM) control by combining the merits of fuzzy logic and conventional linear control theory. The hydraulic control systems with GPCM control have the high nonlinearity and uncertain dynamics, therefore the simple linear or nonlinear differential equations cannot sufficiently represent corresponding practical system. The designed controllers based on the model cannot guarantee the good performance such as stability and robustness. A hybrid of fuzzy and PID control algorithm is proposed as the solution. The control algorithm is separated into two parts: fuzzy control and PID control. The fuzzy controller is used to control the piston when the piston is near the desired position, and PID controller is applied when the piston is far away the target position. The hybrid fuzzy PID is implemented on computer and applied to control the arms of hydraulic robot with GPCM control. The results from the experiments show that the proposed hybrid fuzzy PID control has good performance.

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