Abstract
Abstract
Cable-driven camera robot has the characteristics of high load/mass ratio, large working space, fast response speed and strong environmental adaptability, which has a wide application prospect and important development value. However, the high-speed movement of the camera robot has a great impact on its performance, and an optimal design method that meets its actual characteristics is needed to improve its overall performance. In view of the shortcomings of the standard genetic algorithm, such as premature convergence and insufficient global optimization searching ability, an improved genetic algorithm is proposed. Compared with the optimization results of the standard genetic algorithm, The improved genetic algorithm converges to the global optimal solution and the impulse decreases obviously, it shows that the improved genetic algorithm is more effective and practical, and reduces the impact of cable tension, thus obtaining better camera robot design parameters.
Subject
General Physics and Astronomy
Reference17 articles.
1. Optimal cable tension distribution of the high-speed redundant driven camera robots considering cable sag and inertia effects;Su;J. ADV MECH ENG.,2014
2. Dimensional Optimization Design of the Four-Cable-Driven Parallel Manipulator in FAST;Yao;J. IEEE/ASME Trans Mechatron,2010
3. Optimizing stiffness and dexterity of planar adaptive cable-driven parallel robots;Abdolshah;J. Journal of Mechanisms and Robotics,2017
4. Active vibration canceling of a cable-driven parallel robot using reaction wheels;Weber,2014
5. The vibration suppression of cable with self-excitation in parallel cable-driven regulating system;Jin;Advances in Space Research,2020