Title :
Optimization of a 3-PRS parallel manipulator based on interval analysis
Author :
Zhang, Xu ; Fang, Hao
Author_Institution :
Sch. of Autom., Beijing Inst. of Technol., Beijing, China
Abstract :
This paper addresses the problem of mechanism optimization of the 3-PRS parallel manipulator, a mechanism consisting of a moving platform and a base platform connected by three serial PRS chains. In order to optimize the geometrical parameters, first the inverse kinematic of the 3-PRS parallel manipulator is analyzed and the requirement of specific workspace of 3-DOF independent motions is defined by satisfying the constraints of the actuator length. Then due to existence of the unexpected parasitic motions, the parasitic motions are expressed as the functions of the independent motions so that the evaluation of the actuator length only depends on the desired independent motions. Therefore an algorithm based on interval analysis is designed to optimize the design parameters. Interval-based optimization can provide almost all the solutions satisfying the requirement of the specific workspace. A numerical example of the optimization is presented and the comparison of two groups of design parameters is given to validate the effectiveness of the proposed interval-based optimization algorithm.
Keywords :
actuators; design engineering; manipulator kinematics; optimisation; parameter estimation; 3-DOF independent motions; 3-PRS parallel manipulator optimization; actuator length; base platform; design parameter optimization; geometrical parameter optimization; interval analysis; interval-based optimization algorithm; inverse kinematics; moving platform; parasitic motions; Actuators; Algorithm design and analysis; Joints; Kinematics; Manipulators; Optimization; Vectors; 3-PRS parallel manipulators; interval analysis; optimization; parasitic motions;
Conference_Titel :
Intelligent Control and Automation (WCICA), 2012 10th World Congress on
Conference_Location :
Beijing
Print_ISBN :
978-1-4673-1397-1
DOI :
10.1109/WCICA.2012.6358285