The Modeling of Redundantly Actuated Mechanical Systems

Author:

Wang Yaojun12,Belzile Bruno3,Angeles Jorge3,Li Qinchuan4

Affiliation:

1. Faculty of Mechanical Engineering and Automation, Zhejiang Sci-Tech University, Hangzhou, Zhejiang 310018, China;

2. Department of Electrical and Electronic Engineering, Zhejiang Institute of Mechanical and Electrical Engineering, Hangzhou, Zhejiang 310053, China

3. Department of Mechanical Engineering, Centre for Intelligent Machines, McGill University, Montreal, QC, H3A 0C3, Canada

4. Faculty of Mechanical Engineering and Automation, Zhejiang Sci-Tech University, Hangzhou, Zhejiang 310018, China

Abstract

Abstract Dynamics modeling is essential in the design and control of mechanical systems, the focus of the paper being redundantly actuated systems, which bring about special challenges. The authors resort to the natural orthogonal complement (NOC), based on an adaptation of screw theory, to derive the dynamics model. Benefiting from the elimination of the constraint wrenches, the NOC offers a simple, systematic alternative to the modeling of redundantly actuated mechanical systems. The optimum actuator-torque distribution is determined via Euclidean-norm minimization; then, by relying on the QR-decomposition, an efficient and robust method is produced to compute explicitly the right Moore–Penrose generalized inverse of the coefficient matrix. The methodology is illustrated via a case study involving a redundantly actuated parallel-kinematics machine with three degrees of freedom and four actuators.

Funder

China Scholarship Council

Department of Education of Zhejiang Province

National Science Foundation of China

Natural Science Foundation of Zhejiang Province

Natural Sciences and Engineering Research Council of Canada

Publisher

ASME International

Subject

Mechanical Engineering

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