Analysis and Optimization for Balancing Mechanism of High-Speed & Heavy-Load Manipulators
Yongfei Xiao, Shuhui Bi, Xuelin Wang,
Xiangdong Li, and Xinjian Fan
Shandong Provincial Key Laboratory of Robot and Manufacturing Automation Technology, Institute of Automation, Shandong Academy of Science, No.19, Keyuan Road, Jinan, Shandong 250014, China
Heavy-load manipulators usually have a balance to minimize energy consumption and maximize payload capacity. Appropriate design parameters are important to balancing devices in improving performance. We propose evaluating optimal parameters to achieve the best possible manipulator motion features. A dynamic manipulator model with a parallel-link mechanism is analyzed using the Lagrange principal. We also propose a way to reduce nonlinear influence while improving payload capacity. The optimized method is used for instructing how to design and optimize heavyload manipulators, as shown through simulation and experiments.
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