scholarly journals Ship's Trajectory Planning for Collision Avoidance at Sea Based on Ant Colony Optimisation

2014 ◽  
Vol 68 (2) ◽  
pp. 291-307 ◽  
Author(s):  
Agnieszka Lazarowska
Keyword(s):  
Control Systems ◽  
Trajectory Planning ◽  
Dynamic Environment ◽  
Research Problem ◽  
Obstacle Detection ◽  
Ant Colony ◽  
Ant Colony Optimisation ◽  
New Approach ◽  
Guidance And Control ◽  
And Control

Swarm Intelligence (SI) constitutes a rapidly growing area of research. At the same time trajectory planning in a dynamic environment still constitutes a very challenging research problem. This paper presents a new approach to path planning in dynamic environments based on Ant Colony Optimisation (ACO). Assumptions, a concise description of the method developed and results of real navigational situations (case studies with comments) are included. The developed solution can be applied in decision support systems on board a ship or in an intelligent Obstacle Detection and Avoidance system, which constitutes a component of Unmanned Surface Vehicle (USV) Navigation, Guidance and Control systems.

Benefits of Advanced Surface Movement Guidance and Control Systems (A-SMGCS)

2005 ◽  
Vol 13 (4) ◽  
pp. 329-356 ◽  
Author(s):  
Christoph Meier ◽  
Jörn Jakobi ◽  
Paul Adamson ◽  
Sandra Lozito ◽  
Lynne Martin
Keyword(s):  
Control Systems ◽  
Surface Movement ◽  
Guidance And Control ◽  
And Control

Research of A-SMGCS System for Complex Airport

2011 ◽  
Vol 143-144 ◽  
pp. 341-345
Author(s):  
Zeng Xian Geng ◽  
Yi Fei Zhao ◽  
Zhi Jian Ye
Keyword(s):  
Control Systems ◽  
Delay Time ◽  
Holding Time ◽  
Surface Movement ◽  
Supporting System ◽  
Guidance And Control ◽  
Traffic Conflicts ◽  
Basis System ◽  
And Control ◽  
Ground Monitoring

According the present complicated and lacks of high-leveled automation ground operation supporting system, based on the concept of ICAO'S A-SMGCS (advanced surface movement guidance and control systems) and the existed facilities of the airport, this paper focuses on the research of a new ground operation supporting system in accordance with A-SMGCS, including the basis system hardware, the surveillance ground monitoring subsystem and the lighting subsystem, etc. The system is capable of not only detecting and predicting the traffic conflicts on the ground but also providing solutions and suggestions. Meanwhile the system can help controllers to arrange and use the airport resources so as to reduce the ground holding time and delay time.

Validation of guidance and control systems for tactical aerospace vehicles

2001 ◽  
Author(s):  
M. Prabhakar ◽  
G. Venkatachalam ◽  
U. Shivaganesh ◽  
S. Chaudhuri ◽  
Pulak Haldar ◽  
...  
Keyword(s):  
Control Systems ◽  
Aerospace Vehicles ◽  
Guidance And Control ◽  
And Control

Leader–follower-based dynamic trajectory planning for multirobot formation

Robotica ◽  
2013 ◽  
Vol 31 (8) ◽  
pp. 1351-1359 ◽  
Author(s):  
Shuang Liu ◽  
Dong Sun
Keyword(s):  
Analytical Solution ◽  
Objective Function ◽  
Collision Avoidance ◽  
Trajectory Planning ◽  
Trajectory Optimization ◽  
Optimal Trajectory ◽  
Dynamic Environment ◽  
Current Paper ◽  
New Approach ◽  
Dynamic Trajectory

SUMMARYThe present paper presents a new approach to a leader–follower-based dynamic trajectory planning for multirobot formation. A near-optimal trajectory is generated for each robot in a decentralized manner. The main contributions of the current paper are the proposal of a new objective function that considers both collision avoidance and formation requirement for the trajectory generation, and an analytical solution of trajectory parameters in the trajectory optimization. Simulations and experiments on multirobots are performed to demonstrate the effectiveness of the proposed approach to the multirobot formation in a dynamic environment.

A Meta-Heuristic with Ant Colony Approach to Complex System

2010 ◽  
Vol 26-28 ◽  
pp. 1147-1150
Author(s):  
Zong Li Liu ◽  
Jie Cao ◽  
Zhan Ting Yuan
Keyword(s):  
Complex System ◽  
System Design ◽  
Ant Colony ◽  
Pareto Optimal ◽  
Ant Colony Optimisation ◽  
New Approach ◽  
Pareto Optimal Set ◽  
Simulation Results ◽  
Optimal Set ◽  
Complex System Design

This paper proposes a new approach to determining the complex system design for a product mix comprising complex hierarchies of subassembly and components. Pareto Ant Colony Optimisation as an especially effective meta-heuristic for solving the problem of complex system design was introduced in this paper. A Pareto Optimal Set of complex system in which only the non dominated solutions allow ants to deposit pheromones over the time and cost pheromone matrices after certain generation runs. Simulation results show that the model for complex system and the hybrid algorithms are effective to the design of complex system.

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