scholarly journals Time-optimal Feedrate Scheduling with Actuator Constraints for 5-axis Machining

Author(s):  
Woraphrut Kornmaneesang ◽  
Shyh-Leh Chen

Abstract Cycle time minimization is one of the major goals that many manufacturers are eager to achieve. Maximizing feedrate is the direct solution, however, physical motions need to be under the specified motion limits to avoid high-frequency vibration, causing machining error. In this paper, a time-optimal feedrate scheduling approach for 5-axis G1 toolpath is presented for 5-axis machining. A quintic B-spline corner smoothing method is utilized to smoothen sharp corners in the toolpath. Then, the S-shape feedrate profile of each block is optimized under the actuator motion constraints, with the objective of minimizing the cycle time. Particle swarm optimization (PSO) is used to provide the optimized solution. Experiments are conducted to validate the proposed approach and the results are compared with two other existing approaches. It is found that the proposed method can achieve shorter cycle time and less contour errors, showing the effectiveness of the proposed approach.

Author(s):  
Zhijun Chen ◽  
Feng Gao

Current studies on time-optimal trajectory planning centers on cases with fixed base and only one end-effector. However, the free-floating body and the multiple legs of the legged robot make the current methods inapplicable. This paper proposes a time-optimal trajectory planning method for six-legged robots. The model of the optimization problem for six-legged robots is built by considering the base and the end-effectors separately. Both the actuator constraints and the gait cycle constraints are taken into account. A novel two-step optimization method is proposed to solve the optimization problem. The first step solves the time-optimal trajectory of the body and the second step solves the time-optimal trajectory of the swinging legs. Finally, the method is applied to a six-parallel-legged robot and validated by experiments on the prototype. The results show that the velocity of the optimized gait is improved by 17.8% in contrast to the non-optimized one.


Robotica ◽  
1997 ◽  
Vol 15 (1) ◽  
pp. 31-40 ◽  
Author(s):  
Zvi Shiller

This paper describes an interactive software system, developed at the Robotics and Automation Laboratory at UCLA to demonstrate innovative approaches to off-line robot programming and work-cell layout design. The software computes the time-optimal motions along specified paths, local optimal paths around an initial guess, and the global optimal path between given end-points. It considers the full robot dynamics, actuator constraints, on the payload acceleration or the gripping force, and any number of polygonal obstacles of any shape. The graphic displays provide a useful tool for interactive motion planning and workcell design.


1993 ◽  
Vol 115 (3) ◽  
pp. 441-446 ◽  
Author(s):  
J. E. Bobrow ◽  
J. M. McCarthy ◽  
V. K. Chu

An algorithm is given which minimizes the time for two robots holding the same workpiece to move along a given path. The unique feature of these systems is that they have more actuators than degrees of freedom. The method can be applied to any constrained robot system, including the case where one robot arm moves in contact with a surface. In addition to finding the optimum torque histories, the algorithm determines the optimum contact force between the each robot and the workpiece throughout the motion. Constraints on these internal forces are easily introduced into the algorithm.


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