Hostname: page-component-78c5997874-dh8gc Total loading time: 0 Render date: 2024-11-10T20:52:06.787Z Has data issue: false hasContentIssue false

Trajectory optimization of flexible link manipulators in point-to-point motion

Published online by Cambridge University Press:  04 November 2008

M. H. Korayem*
Affiliation:
Robotic Research Laboratory, College of Mechanical Engineering, Iran University of Science and Technology, Tehran, Iran
A. Nikoobin
Affiliation:
Robotic Research Laboratory, College of Mechanical Engineering, Iran University of Science and Technology, Tehran, Iran
V. Azimirad
Affiliation:
Robotic Research Laboratory, College of Mechanical Engineering, Iran University of Science and Technology, Tehran, Iran
*
*Corresponding author. E-mail: hkorayem@iust.ac.ir

Summary

The aim of this paper is to determine the optimal trajectory and maximum payload of flexible link manipulators in point-to-point motion. The method starts with deriving the dynamic equations of flexible manipulators using combined Euler–Lagrange formulation and assumed modes method. Then the trajectory planning problem is defined as a general form of optimal control problem. The computational methods to solve this problem are classified as indirect and direct techniques. This work is based on the indirect solution of open-loop optimal control problem. Because of the offline nature of the method, many difficulties like system nonlinearities and all types of constraints can be catered for and implemented easily. By using the Pontryagin's minimum principle, the obtained optimality conditions lead to a standard form of a two-point boundary value problem solved by the available command in MATLAB®. In order to determine the optimal trajectory a computational algorithm is presented for a known payload and the other one is then developed to find the maximum payload trajectory. The optimal trajectory and corresponding input control obtained from this method can be used as a reference signal and feedforward command in control structure of flexible manipulators. In order to clarify the method, derivation of the equations for a planar two-link manipulator is presented in detail. A number of simulation tests are performed and optimal paths with minimum effort, minimum effort-speed, maximum payload, and minimum vibration are obtained. The obtained results illustrate the power and efficiency of the method to solve the different path planning problems and overcome the high nonlinearity nature of the problems.

Type
Article
Copyright
Copyright © Cambridge University Press 2008

Access options

Get access to the full version of this content by using one of the access options below. (Log in options will check for institutional or personal access. Content may require purchase if you do not have access.)

References

1.Angeles, J., Fundamentals of Robotic Mechanical Systems. Theory, Methods, and Algorithms (Springer-Verlag, New York, 1997).CrossRefGoogle Scholar
2.Chettibi, T., Lehtihet, H. E., Haddad, M. and Hanchi, S., “Minimum cost trajectory planning for industrial robots,” Euro. J. Mech. A/Solids 23, 703715 (2004).CrossRefGoogle Scholar
3.Wang, L. T. and Ravani, B., “Dynamic load carrying capacity of mechanical manipulators-Part 1,” J. Dyn Syst. Meas. Control 110, 4652 (1988).CrossRefGoogle Scholar
4.Wang, L. T. and Ravani, B., “Dynamic load carrying capacity of mechanical manipulators-Part 2,” J. Dyn. Syst. Meas. Control 110, 5361 (1988).CrossRefGoogle Scholar
5.Korayem, M. H. and Ghariblu, H., “Maximum allowable load of mobile manipulator for two given end points of end-effector,” Int. J. AMT 24 (9–10), 743751 (2004).Google Scholar
6.Wang, C.-Y. E., Timoszyk, W. K. and Bobrow, J. E., “Payload maximization for open chained manipulator: Finding motions for a Puma 762 robot,” IEEE Trans. Rob. Autom. 17 (2), (2001).CrossRefGoogle Scholar
7.Korayem, M. H. and Basu, A., “Formulation and numerical solution of elastic robot dynamic motion with maximum load carrying capacities,” Robotica 12, 253261 (1994).CrossRefGoogle Scholar
8.Korayem, M. H. and Nikoobin, A., “Maximum payload for flexible joint manipulators in point-to-point task using optimal control approach,” Int. J. Adv. Manuf. Tech. 38 (9–10), 10451060 (2008).CrossRefGoogle Scholar
9.Korayem, M. H. and Gariblu, H., “Analysis of wheeled mobile flexible manipulator dynamic motions with maximum load carrying capacities,” Rob. Auton. Syst. 48 (2–3), 6376 (2004).CrossRefGoogle Scholar
10.Gariblu, H. and Korayem, M. H., “Trajectory optimization of flexible mobile manipulators,” Robotica 24 (3), 333335 (2006).CrossRefGoogle Scholar
11.Yue, S., Tso, S. K. and Xu, W. L, “Maximum dynamic payload trajectory for flexible robot manipulators with kinematic redundancy,” Mech. Mach. Theory 36, 785800 (2001).CrossRefGoogle Scholar
12.Book, W. J., “Recursive Lagrangian dynamics of flexible manipulator arms,” Int. J. Rob. Res. 3 (3), 87101 (1984).CrossRefGoogle Scholar
13.Hull, D. G., “Conversion of optimal control problems into parameter optimization problems,” J. Guid. Control Dyn. 20 (1), (1997).CrossRefGoogle Scholar
14.Sarkar, P. K., Yamamoto, M. and Mohri, A., “On the trajectory planning of a planar elastic manipulator under gravity,” IEEE Trans. Rob. Autom. 15 (2), (1999).Google Scholar
15.Kojima, H. and Kibe, T., “Optimal Trajectory Planning of a Two Link Flexible Robot Arm Based on Genetic Algorithm for Residual Vibration Reduction,” IEEE/RSJ International Conference on Intelligent Robots and Systems, Maui, HI, vol. 4 (2001), pp. 22762281.Google Scholar
16.Park, K. J., “Flexible robot manipulator path design to reduce the endpoint residual vibration under torque constraints,” J. Sound Vib. 275, 10511068 (2004).CrossRefGoogle Scholar
17.Wilson, D. G., Robinett, R. D. and Eisler, G. R., “Discrete Dynamic Programming for Optimized Path Planning of Flexible Robots,” IEEE/RSJ International Conference on Intelligent Robots and Systems, Sendai, Japan, vol. 3 (2004), pp. 29182923.Google Scholar
18.Luus, R., “Iterative dynamic programming,” Automatica 39 (7), 13151316 (2003).Google Scholar
19.Arora, J., Introduction to Optimum Design, 2nd Ed. (Elsevier, Academic Press, Sandiego, 2004).CrossRefGoogle Scholar
20.Kirk, D. E., Optimal Control Theory, an Introduction (Prentice-Hall Inc., New Jersey, 1970).Google Scholar
21.Shiller, Z. and Dubowsky, S., “Robot path planning with obstacles, actuators, gripper and payload constraints,” Int. J. Rob. Res. 8 (6), 318 (1986).CrossRefGoogle Scholar
22.Fotouhi, R. and Szyszkowski, W., “An algorithm for time-optimal control problems,” J. Dyn. Syst. Meas. Control Trans. ASME 120 (3), 414418 (1998).CrossRefGoogle Scholar
23.Agrawal, O. P. and Xu, Y., “On the global optimum path planning for redundant space manipulators,” IEEE Trans. Syst. Man Cybernet. 24 (9), (1994).CrossRefGoogle Scholar
24.Furuno, S., Yamamoto, M. and Mohri, A., “Trajectory Planning of Mobile Manipulator With Stability Considerations,” Proceedings of the 2003 IEEE International Conference on Robotics and Automation, Taipei, Taiwan, vol. 3 (14–19) (2003), pp. 34033408.CrossRefGoogle Scholar
25.Bessonnet, G. and Chessé, S., “Optimal dynamics of actuated kinematic chains, Part 2: Problem statements and computational aspects,” Euro. J. Mech. A/Solids 24, 472490 (2005).CrossRefGoogle Scholar
26.Bertolazzi, E., Biral, F. and Da Lio, M., “Symbolic–numeric indirect method for solving optimal control problems for large multibody systems,” Multibody Syst. Dyn. 13 (2), (2005).CrossRefGoogle Scholar
27.Sentinella, M. R. and Casalino, L., “Genetic Algorithm and Indirect Method Coupling for Low-Thrust Trajectory Optimization,” 42nd AIAA/ASME/SAE/ASEE Joint Propulsion Conference and Exhibit, California (2006).Google Scholar
28.Shampine, L. F., Reichelt, M. W. and Kierzenka, J., “Solving boundary value problems for ordinary differential equations in MATLAB with bvp4c,” available at http://www.mathworks.com/bvp_tutorialGoogle Scholar
29.Li, C.-J. and Sankar, T. S., “A systematic method of dynamics for flexible robot manipulators,” J. Rob. Syst. 9 (7), 861891 (1992).CrossRefGoogle Scholar
30.Green, A. and Sasiadek, J. Z., “Robot Manipulator Control for Rigid and Assumed Mode Flexible Dynamics Models,” AIAA Guidance, Navigation, and Control Conference and Exhibit, Austin, TX, Paper no AIAA 2003–5435 (2003).CrossRefGoogle Scholar
31.Cetinkunt, S. and Book, W. J., “Symbolic modeling and dynamic simulation of robot manipulators with compliant links and joints,” Rob. Comput. Integr. Manuf. 5 (4), 301310 (1989).CrossRefGoogle Scholar