Position Control System of Autonomous Underwater Vehicle using PID Controller

2021 ◽  
Author(s):  
Ike Bayusari ◽  
Albert Mario Alfarino ◽  
Hera Hikmarika ◽  
Zaenal Husin ◽  
Suci Dwijayanti ◽  
...  
Keyword(s):  
Control System ◽  
Pid Controller ◽  
Position Control ◽  
Autonomous Underwater Vehicle ◽  
Underwater Vehicle ◽  
Position Control System

An Auto-Tuning PID Controller for Integrating Plus Dead-Time Processes

2011 ◽  
Vol 403-408 ◽  
pp. 4934-4943 ◽  
Author(s):  
C. Dey ◽  
R.K. Mudi ◽  
D. Simhachalam
Keyword(s):  
Control System ◽  
Real Time ◽  
Simulation Study ◽  
Pid Controller ◽  
Position Control ◽  
Dead Time ◽  
Nonlinear Gain ◽  
Stability Robustness ◽  
Auto Tuning ◽  
Position Control System

We propose an auto-tuning PID (APID) controller with nonlinear gain. Its proportional, integral, and derivative gains are parameterized online by a nonlinear updating factor. Both performance and stability robustness of APID are studied with reasonable perturbations in model as well as controller parameters. Effectiveness of the proposed APID is tested through simulation study as well as its real-time implementation on a practical position control system.

Research of Control Strategy Based on the Electro-Hydraulic Proportion Position Control System

2013 ◽  
Vol 819 ◽  
pp. 238-243
Author(s):  
Yin Fa Zhu ◽  
Bing Bing Chen
Keyword(s):  
Control System ◽  
Pid Control ◽  
Pid Controller ◽  
Position Control ◽  
The Self ◽  
Fuzzy Pid ◽  
Fuzzy Pid Control ◽  
Fuzzy Pid Controller ◽  
Self Tuning ◽  
Position Control System

The self-tuning fuzzy PID controller of the electro-hydraulic proportion position control system is designed and researched. Compared the self-tuning fuzzy PID control with the traditional PID control through experiments for the track effect on sinusoidal signals, the results show that the self-tuning fuzzy PID controller has higher accuracy and better stability. It is a more excellent performance controller.

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