Model reference adaptive PID control with anti-windup compensator for an autonomous underwater vehicle

2016 ◽  
Vol 83 ◽  
pp. 87-93 ◽  
Author(s):  
Pouria Sarhadi ◽  
Abolfazl Ranjbar Noei ◽  
Alireza Khosravi
2017 ◽  
Vol 354 (4) ◽  
pp. 1741-1758 ◽  
Author(s):  
Raaja Ganapathy Subramanian ◽  
Vinodh Kumar Elumalai ◽  
Selvakumar Karuppusamy ◽  
Vamsi Krishna Canchi

Author(s):  
Barış Baykant Alagöz ◽  
Gürkan Kavuran ◽  
Abdullah Ateş ◽  
Celaleddin Yeroğlu ◽  
Hafız Alisoy

Author(s):  
Yohan Darcy Mfoumboulou

This paper describes the design of an adaptive controller based on model reference adaptive PID control (MRAPIDC) to stabilize a two-tank process when large variations of parameters and external disturbances affect the closed-loop system. To achieve that, an innovative structure of the adaptive PID controller is defined, an additional PI is designed to make sure that the reference model produces stable output signals and three adaptive gains are included to guarantee stability and robustness of the closed-loop system. Then, the performance of the model reference adaptive PID controller on the behaviour of the closed-loop system is compared to a PI controller designed on MATLAB when both closed-loop systems are under various conditions. The results demonstrate that the MRAPIDC performs significantly better than the conventional PI controller.


Author(s):  
Mohan Santhakumar ◽  
Jinwhan Kim

This paper proposes a new tracking controller for autonomous underwater vehicle-manipulator systems (UVMSs) using the concept of model reference adaptive control. It also addresses the detailed modeling and simulation of the dynamic coupling between an autonomous underwater vehicle and manipulator system based on Newton–Euler formulation scheme. The proposed adaptation control algorithm is used to estimate the unknown parameters online and compensate for the rest of the system dynamics. Specifically, the influence of the unknown manipulator mass on the control performance is indirectly captured by means of the adaptive control scheme. The effectiveness and robustness of the proposed control scheme are demonstrated using numerical simulations.


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