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Stability Enhancement of Mobile Manipulators via Soft Computing
[摘要] Nowadays the size and dimension of mobile manipulators have been decreased for being usable in various regions. This leads several problems such as danger of instability. Therefore, many researches have been done to overcome the problem of overturning of a mobile manipulator. In this paper, an algorithm for increasing the stability of a mobile manipulator is presented based on the optimization of a performance index. The path of vehicle and the desired task of the end-effector are predefined. In order to apply the optimal stability criterion, it is more convenient that the manipulator be of a redundant. Considering the interaction between the vehicle and the manipulator and using the genetic algorithm to minimize the stability criterion cooperating with a neural network, the proposed method is a swift algorithm to determine the optimum configuration of the manipulator for real time overturning control of the vehicle. An example for illustrating the significance of the proposed method is presented in a two...
[发布日期]  [发布机构] 
[效力级别]  [学科分类] 自动化工程
[关键词] Mobile manipulator;redundant;optimal stability;Real-Time control;neural network [时效性] 
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