Multi-UUVs Team Line Formation Control by a Behaviour-Based Method with Fuzzy Logic Adapters

Author(s):  
Yan Hou ◽  
Robert Allen
2008 ◽  
Vol 58 ◽  
pp. 165-170 ◽  
Author(s):  
Yan Hou ◽  
Robert Allen

A team of low-cost underwater vehicles could cover an area quickly, e.g. for pollution detection and clearance and benefit from the advantages of formation control, for example it can reduce the cost, increase the robustness and efficiency. In previous work, we have investigated behaviour-based rules with fuzzy logic controlled priority weights for multi-UUVs team cooperation. The goal of this paper is to examine whether the behaviour-based rules can control the line formation of the team when each member is represented by a dynamic manoeuvring model of a real vehicle. Fuzzy logic controllers are applied to update the priority weights for the behavioural rules according to different situations that the vehicles meet in real time. The cooperative mission scenarios with line formation pattern are simulated and the results indicate that the approach can potentially help to maintain the cooperative vehicles in a specified line formation.


2018 ◽  
Vol 14 (09) ◽  
pp. 124 ◽  
Author(s):  
Bambang Tutuko ◽  
Siti Nurmaini ◽  
Saparudin Saparudin ◽  
Gita Fadila Fitriana

Robotics control system with leader-follower approach has a weakness in the case of formation failure if the leader robot fails. To overcome such problem, this paper proposes the formation control using Interval Type-2-Fuzzy Logic controller (IT2FLC). To validate the performance of the controller, simulations were performed with various environmental systems such as open spaces, complexes, circles and ovals with several parameters. The performance of IT2FLC will be compared with Type-1 Fuzzy Logic (T1FL) and Proportional Integral and Derivative (PID) controller. As the results found using IT2FLC has advantages in environmental uncertainty, sensor imprecision and inaccurate actuator. Moreover, IT2FLC produce good performance compared to T1FLC and PID controller in the above environments, in terms of small data generated in the fuzzy process, the rapid response of the leader robot to avoid collisions and stable movements of the follower robot to follow the leader's posture to reach the target without a crash. Especially in some situations when a leader robot crashes or stops due to hardware failure, the follower robot still continue move to the target without a collision.


2021 ◽  
Vol 11 (2) ◽  
pp. 6935-6942
Author(s):  
H. Medjoubi ◽  
A. Yassine ◽  
H. Abdelouahab

This paper presents a new design of an adaptive fuzzy logic control by implementing the leader-follower approach. The principle is to modify the feedback control of non-holonomic Wheeled Mobile Robot (WMR) to be adaptive according to a fuzzy controller in the control loop, in order to adjust the feedback control gains according to the distance error between the reference path and the real position. The trajectory tracking control for a single WMR is extended to the formation control for two WMRs in which the first one is the leader and the second is the follower. Simulation results are presented to demonstrate the effectiveness of the proposed controller.


Sign in / Sign up

Export Citation Format

Share Document