基于人工势场和模糊规则的多水下机器人队形控制方法  

Formation Control of Multiple AUV(MAUV) Based on Artificial Potential Field and Fuzzy Rules

作　　者：秦宇翔[1,2] 李一平[1] 徐红丽[1] 

机构地区：[1]中国科学院沈阳自动化研究所机器人学国家重点实验室,沈阳110016 [2]中国科学院研究生院,北京100049

出　　处：《计算机测量与控制》2012年第8期2105-2107,2120,共4页Computer Measurement &Control

基　　金：国家自然科学基金项目(60805050);国家863计划课题(2011AA09A105)

摘　　要：人工势场法是常用机器人队形控制方法之一,它的基本原理是将机器人看做质点,通过势场作用于质点的力来规划机器人的运动;基于人工势场的队形控制方法大都是针对这种质点模型提出的,不能直接应用于多水下机器人系统,由此,提出一种人工势场和模糊规则相结合的多水下机器人队形控制算法;首先定义一组势函数,然后根据水下机器人的运动特性,设计一个模糊控制器,将势场力映射为水下机器人的期望速度和航向角;以三个水下机器人组成三角形队形为例,进行了仿真实验;实验中,初始位置散乱的水下机器人较快地形成队形,并稳定地保持队形行进,证明了该算法的可行性和有效性。Artificial potential field is widely used in formation control of robots. Many of the formation schemes based on potential field presented so far, in which the multiple dynamic agents were usually modeled as particles, could not be directly applied to autonomous under- water vehicles （AUVs）. Therefore, a new formation control method based on artificial potential field and fuzzy rules was proposed. First ly, a set oi＂ potential fields were defined. Secondly, a fuzzy system was constructed, which transforms the virtual force into desired velocity and heading. Simulation tests, in which three AUVs quickly formed and kept a triangle formation, were made to prove the effectiveness and feasiSility of the proposed algorithm.

关 键 词：人工势场 队形控制 模糊推理 多水下机器人 

分 类 号：TP24[自动化与计算机技术—检测技术与自动化装置]