OPTIMAL CONTROL OF ROBOTIC MANIPULATOR FOR LASER CUTTING APPLICATIONS

2002 ◽  
Vol 35 (1) ◽  
pp. 367-372
Author(s):  
A. Pashkevich ◽  
A. Dolgui ◽  
O. Chumakov
Author(s):  
Mikhail Mikhailovich Kozhevnikov ◽  
Oleg Anatolievich Chumakov ◽  
Vladimir Mikhailovich Shemenkov ◽  
Igor Eduardovich Ilushin

Author(s):  
Mohsen Bahrami ◽  
G. R. Nakhaie Jazar

Abstract The complex nature of robotic manipulator dynamic equations is well studied. Many different control algorithms have been developed; among them optimal control ones. However, most of them are either based on simplified equations of motion or are tedious to implement or set up. In this work equations of motion are approximated using central difference technics and Taylor series expansion, while path of motion is divided in finite segments. The motion is assumed to have zero velocity at the beginning and at the end of the motion without loss of generality. Showing that Pontryagin principle is applicable and the optimal controller is bang bang. Actuator torques, iscolines, and switching points, can be calculated. The preparation time, problem set up and execution time are relatively small, and programming efforts are reasonably low. The algorithm is implemented for a 2R planar robotic manipulator, and results are presented.


Author(s):  
Gholamreza Nakhaie-Jazar ◽  
A. H. Naghshineh-Poor ◽  
K. Ravanbakhsh

Abstract Optimal control of robotic manipulator has a complex nature. Many different control and optimal control algorithms have been developed. However, these algorithms are either based on simplified equation of motion or are tedious to implement to set up. In this work the equations of motion are approximated by central difference technic and Taylor series expansion, while path of motion is divided in finite segments. The motion is assumed to have zero velocity at beginning and at the end of the motion, without loss of generality. The whole time and path of motion is arbitrary, but fixed, after the option. The problem of energy optimal control is reduced to minimizing a scalar function of many but finite variables with equality and inequality constraints. By applying modified Hooke and Jeeves method, actuator torques at any time are calculated. The preparation time for problem set up and execution time are small, and programming efforts are reasonably low. The algorithm is implemented for a 2R and 3R robotic manipulator, and results are presented.


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