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Optimal custom design of both symmetric and unsymmetrical hexapod robots for aeronautics applications
Affiliation:1. Seconda Università degli Studi di Napoli, Dipartimento di Ingegneria Industriale e dell''Informazione, Via Roma, 29, 81031 Aversa, Italy;2. Università degli Studi di Salerno, Dipartimento di Ingegneria dell''Informazione ed Elettrica e Matematica Applicata, Via Giovanni Paolo II, 132, 84084 Fisciano, Italy;1. Graduate School of Engineering, Kagawa University, 2217-20 Hayashichou, Kagawa, Japan;2. Key Laboratory of Convergence Medical Engineering System and Healthcare Technology, the Ministry of Industry and Information Technology, School of Life Science, Beijing Institute of Technology, No. 5, Zhongguancun South Street, Haidian District, Beijing 100081, China;3. Faculty of Engineering, Kagawa University, 2217-20 Hayashichou, Kagawa, Japan
Abstract:The Stewart parallel mechanism is used in various applications due to its high load-carrying capacity, accuracy and stiffness, such as flight simulation, spaceship aligning, radar and satellite antenna orientation, rehabilitation applications, parallel machine tools. However, the use of such parallel robots is not widespread due to three factors: the limited workspace, the singularity configurations existing inside the workspace, and the high cost. In this work, an approach to support the design of a cost-effective Stewart platform-based mechanism for specific applications and to facilitate the choice of suitable components (e.g., linear actuators and base and mobile plates) is presented. The optimal design proposed in this work has multiple objectives. In detail, it intends to maximize the payload and minimize the forces at each leg needed to counteract external forces applied to the mobile platform during positioning or manufacturing, or, in general, during specific applications. The approach also aims at avoiding reduction of the robot workspace through a kinematic optimization. Both symmetric and unsymmetrical geometries have been analysed to show how the optimal design approach can lead to effective results with different robot configurations. Moreover, these objectives are achieved through a dynamic optimization and several optimization algorithms were compared in terms of defined performance indexes.
Keywords:Aeronautics part positioning  Adaptive fixture  Stewart platform  Parallel robot  Optimal design  Genetic algorithm
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