On-Line Trajectory Planning in Collision Situations at Sea by Evolutionary Computation-Experiments

2001 ◽  
Vol 34 (7) ◽  
pp. 407-412 ◽  
Author(s):  
R Smierzchalski
2013 ◽  
Vol 61 (4) ◽  
pp. 404-415 ◽  
Author(s):  
A. Frisoli ◽  
C. Loconsole ◽  
R. Bartalucci ◽  
M. Bergamasco

1999 ◽  
Vol 123 (3) ◽  
pp. 496-504 ◽  
Author(s):  
Weiguang Niu ◽  
Masayoshi Tomizuka

In this paper, a new approach of motion coordination of two axes systems in the presence of actuator saturation is proposed. The proposed approach includes two parts: feedback controller and on-line trajectory planning. The feedback controller is designed using an anti-windup design to reduce the degradation in performance of each axis when saturation occurs. An on-line trajectory planning algorithm is also proposed to maintain the contouring accuracy during saturation periods. The desired outputs for X- and Y-axis are given as sequences of points. When the actuator of any axis is predicted to saturate, an appropriate number of points are inserted in the original sequence to slow down the motion. The effectiveness of the proposed approach is studied by simulation of a two-axis Cartesian positioning system.


Author(s):  
Michael R. Hummels ◽  
Raymond J. Cipra

Abstract An on-line trajectory modification and path planning strategy is developed which will allow a robot to respond in an efficient manner to real time sensory input. The approach developed here eliminates the need for solving many equations by developing a closed form algorithm. It uses two fourth order curves for the transition phases with a constant velocity section in between. Although this is done by providing additional constraints to the curve, it makes the problem of determining the trajectory much easier to solve, while providing continuous higher derivatives. It also provides a safe and efficient way of modifying trajectories based on the robots joint rate limits, joint acceleration limits, jerk limits, and desired time interval between trajectory modifications for a 4-1-4 trajectory. This method involves the solution of one second order equation and is directed toward real time applications.


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