A fusion Fuzzy PID controller with real-time implementation on a ship course control system

2015 ◽  
Author(s):  
Sheng Liu ◽  
Bowen Xing ◽  
Wanlu Zhu
Keyword(s):  
Control System ◽  
Real Time ◽  
Pid Controller ◽  
Fuzzy Pid ◽  
Fuzzy Pid Controller ◽  
Course Control

Design and Analysis of the Fuzzy PID Controller of the Carbon Fiber Multilayer Loom

2013 ◽  
Vol 846-847 ◽  
pp. 224-227
Author(s):  
Yu Bai ◽  
Jian Cheng Yang ◽  
Jing Jing Li ◽  
Xiu Ming Jiang ◽  
Hua Qing Wang ◽  
...  
Keyword(s):  
Control System ◽  
Carbon Fiber ◽  
Real Time ◽  
Pid Controller ◽  
Tension Control ◽  
Fuzzy Pid ◽  
Fuzzy Pid Controller ◽  
Tension Sensor ◽  
Tension Control System ◽  
Design Ideas

According to the characteristics of carbon fiber and tension requirement of multilayer angle interlocking loom, tension in the weaving process of carbon fiber needs to be consistent.Based on this requirement, a kind of fuzzy PID controller is designed.Through the real-time detection and feedback of tension sensor, the fuzzy PID controller for the tension control system compensates tension timely, so as to realize the constant tension.In this article, the design ideas of analog PID controller, parameter adjustment rules are introduced.The simulation of tension control system has been done through MATLAB software.The results show that the controller can meet the control requirements.

Fuzzy Controller Design for Multi-Legged Robot

2011 ◽  
Vol 383-390 ◽  
pp. 7345-7350
Author(s):  
Zhi Yong Tang ◽  
Hai Xiao Zhong ◽  
Zhong Cai Pei ◽  
Yan Hao Bu
Keyword(s):  
Control System ◽  
Real Time ◽  
Pid Controller ◽  
Fuzzy Controller ◽  
Controller Design ◽  
High Accuracy ◽  
Dynamics Analysis ◽  
Legged Robot ◽  
Fuzzy Pid ◽  
Fuzzy Pid Controller

In this paper, we propose a mechanical structure for multi-legged robot. Referring the request of control system, we also made a proper choice on driving means. After dynamics analysis on a single leg of the robot, we make a simulation using ADAMS and get how the torque of each joint is changing when the robot is walking. The model of DC motor is established for the control system. Fuzzy PID controller was used to get real-time response and high accuracy of control system.

Simulation Analysis of Electro-Pneumatic Proportional Fuzzy-PID Control System Based on AMESim/Simulink

2014 ◽  
Vol 945-949 ◽  
pp. 2568-2572
Author(s):  
Si Yuan Wang ◽  
Guang Sheng Ren ◽  
Pan Nie
Keyword(s):  
Control System ◽  
Pid Control ◽  
Pid Controller ◽  
Simulation Analysis ◽  
Fuzzy Pid ◽  
Fuzzy Pid Control ◽  
Proportional Control ◽  
Fuzzy Pid Controller ◽  
Design Requirements ◽  
Set Up

The test rig for hydro-pneumatic converter used in straddle type monorail vehicles was researched, and its electro-pneumatic proportional control system was set up and simulated based on AMESim/Simulink. Compared fuzzy-PID (Proportion Integral Derivative) controller with PID controller through fuzzy logic tool box in Simulink, the results indicate that, this electro-pneumatic proportional control system can meet design requirements better, and fuzzy-PID controller has higher accuracy and stability than PID controller.

Research on Tyred Machinery Chassis Dynamometer

2013 ◽  
Vol 631-632 ◽  
pp. 1106-1110
Author(s):  
Wei Zhao ◽  
Qiang Wang ◽  
Sheng Li Song
Keyword(s):  
Control System ◽  
System Performance ◽  
Pid Controller ◽  
Fuzzy Pid ◽  
Chassis Dynamometer ◽  
Technical Parameters ◽  
The Road ◽  
Fuzzy Pid Controller ◽  
System A ◽  
Line Measure

In the tyred machinery chassis dynamometer control system, a fuzzy PID controller was used to adjust the exciting current of a DC dynamometer in order to change the resistance load torque, so the requirement of roller load for simulating the run resistance from the road surface was satisfied. A fuzzy PID arithmetic was designed to control the resistance loads, the system performance was improved by simulation. The software of the detection line measure-control system was designed in VB, the technical parameters of the machinery chassis could the automatically detected.

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