scholarly journals Artificial Fuzzy-PID Gain Scheduling Algorithm Design for Motion Control in Differential Drive Mobile Robotic Platforms

2021 ◽  
Vol 2021 ◽  
pp. 1-13
Author(s):  
Najah Yousfi Allagui ◽  
Farhan A. Salem ◽  
Awad M. Aljuaid
Keyword(s):  
Mobile Robot ◽  
Control Algorithm ◽  
Scheduling Algorithm ◽  
Algorithm Design ◽  
System Response ◽  
System Control ◽  
Fuzzy Pid ◽  
Fuzzy Pid Control ◽  
Differential Drive ◽  
Proportional Integral

Mobile robots are promising devices which are dedicated to human comfort in all areas. However, the control algorithm of the wheels of mobile robot is entirely challenging due to the nonlinearity. Recently, the classical PID (proportional-integral-derivative) controllers are frequently used in robotics for their high accuracy and the smooth determination of their parameters. A robust approach called fuzzy control which is based on the conversion of linguistic inference sets in a suitable control value is a widely used method in industrial system control in our days. A new challenging method to solve the problem of intelligent navigation of nonholonomic mobile robot is suggested. In this work, the presented methodology is based on three hybrid fuzzy logic PID controllers which are adapted to guarantee target achievement and trajectory tracking. A fuzzy-PID control algorithm is designed with 2 inputs and 3 outputs. By the information given by the system response, error and error derivate can be used to extract and adopt the PID controller parameters: proportional, integral, and derivative gains. Besides, a tuning value A is introduced to improve the resulted response in terms of speeding up and reducing error, overshoot, and oscillation, as well as reducing ISE and IAE values. A modelization of a differential drive mobile robot is presented. The developed algorithm is tested and implemented to this mobile robot model via Simulink/MATLAB.

Fuzzy PID Parameters Self-Tuning in the Application of the Furnace Temperature Control System

2015 ◽  
Vol 713-715 ◽  
pp. 849-853 ◽  
Author(s):  
Zheng Qiang Guan ◽  
Xiao Ming Luo ◽  
Le Peng Song
Keyword(s):  
Pid Control ◽  
Control Algorithm ◽  
Control Process ◽  
Temperature Control System ◽  
System Response ◽  
Fuzzy Pid ◽  
Matlab Simulation ◽  
Fuzzy Pid Control ◽  
Furnace Temperature ◽  
Self Tuning

According to the set temperature, the parameter self-tuning fuzzy PID control algorithm is used furnace temperature automatic control and fuzzy PID control process to make use of the MATLAB simulation. Simulation results show that compared with conventional PID control, the parameter self-tuning fuzzy PID control algorithm improves the system response, shorten the adjusting time, enhances the disruptive, demonstrate the superiority of the fuzzy PID.

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

The Design of Temperature-Controlled of Wood Drying Remote Monitoring System Based on Fuzzy PID

2013 ◽  
Vol 391 ◽  
pp. 347-351
Author(s):  
Yu Li Jun ◽  
Shao Ying Liu ◽  
Hui Wang ◽  
Shu Qin
Keyword(s):  
Monitoring System ◽  
Remote Monitoring ◽  
System Control ◽  
Fuzzy Pid ◽  
Monitoring And Control ◽  
Wood Drying ◽  
Fuzzy Pid Control ◽  
Remote Communication ◽  
Analysis And Design ◽  
Remote Monitoring System

Effective temperature control plays a key role in remote monitoring of wood drying. This paper analysis and design a fuzzy PID control strategy under the monitoring and control system by establishing the mathematical model of wood drying system. It can realize the remote communication by using RS485 and achieve the actual operation of the monitoring system control. By experimental data and the experimental curve, the temperature of the system has good tracking effect which can be verified. It can achieve effective remote monitoring.

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.

Sign in / Sign up

Export Citation Format

Share Document