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基于目标规划的履带可变形机器人结构参数设计及验证
Mechanism-parameters design and validation of transformable tracked robot based on goal programming

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朱岩   王明辉 *   李斌   王聪  
文摘 机器人结构参数直接影响其对环境的适应能力,因此合理的结构参数设计至关重要。为更高效设计能适应障碍已知环境的机器人,该研究提出一种基于目标规划的机器人结构参数设计方法,以得到能适应该环境的结构参数最优的机器人,并开发样机进行试验验证。首先提出并设计履带可变形机器人模型,在分析机器人越障机理基础上,建立机器人能够跨越的台阶和沟壑障碍与其结构参数间的关系,并在此基础上建立履带可变形机器人的结构参数目标规划模型。利用遗传算法得到该目标规划问题的最优结构参数:履带轮半径60 mm,摆臂最大长度326 mm,机体长度290 mm,并利用Adams建立仿真模型验证了机器人对目标环境的适应性。样机试验表明机器人能够跨越160 mm高台阶和300 mm宽沟壑,证明了计算得到的结构参数的合理性,及基于目标规划的机器人结构参数设计方法的可行性。该研究可为机器人的结构参数设计提供参考。
其他语种文摘 It is critical to design a reasonable and suitable mechanism parameter for the robot, as it plays an important role in the robot's adaptability to the environments. To efficiently design a robot that was able to adapt itself to an environment where the obstacles were given, a mechanism-parameter designing method was hereby put forward based on the goal programming in order to obtain the optimized robot that could adapt to the environment mentioned. According to configuration evolution and configuration characteristics of tracked robot, a transformable tracked robot configuration was proposed, which only need 3 motors and its single arm could be used as the tracked robot with 2 arms. In theory, applying the ellipse theorem to the configuration design of the tracked robot could ensure that the tracks could be continuously tensioned with the track length unchanged, when the arm was swing. The continuous tension of track was realized by using cam and spring structure. On the basis of the above, the stair climbing and the gully crossing mechanism of the tracked robot was analyzed by using the swing arm's front and back swing. And then, the relationship between the structure parameters of the robot and the stair and gully obstacles was obtained, and the function of the obstacle performance was built. According to the requirements of the goal programming, we selected the distance between driving wheel and the driven wheel, maximum length of the swing arm, driving wheel radius and angle between the track and the horizontal plane in the process of obstacle surmount as the decision variables. Then the values of the highest stair and the widest gully were used to the performance function, and the objective function and object constraint of the goal programming were obtained. As the robot must meet some conditions in the obstacle surmounting process and must improve the calculation efficiency, the initial constraint and no-slip constraint in obstacle surmounting, and the upper and lower boundaries of decision variables were defined, and then the absolute constraints were obtained. Finally, the goal programming model of the structural parameters for the transformable tracked robot was established. Due to the limitation and low efficiency of the traditional algorithm for solving the goal programming model, this paper used genetic algorithm. Penalty function method was used to deal with the individuals that did not meet the absolute constraints to reduce their fitness to reduce the possibility of gene transfer to the next generation. In order to prevent the genetic algorithm converging the local optimal solution, the program ran many times, and the average value was taken from the 10 results, and then the structure parameters were as follows: the distance between driving wheel and the driven wheel was 290 mm, the maximum length of the swing arm was 326 mm, the driving wheel radius was 60 mm. To verify the feasibility of the obtained structural parameters, the track model was obtained by using the software Adams' development function to replace the flexible track with small rigid body. Then the dynamic platform of the tracked robot was built and the simulation experiments of climbing 160 mm stair and crossing 300 mm gully were carried out, which verified the adaptability of climbing the stair and crossing the gully and obtained the driving torque required in the obstacle surmounting process. In order to further verify the rationality of the structural parameters obtained from the goal programming model, a prototype was developed and tested on the stair and gully. The prototype succeeded in surmounting 160 mm high stair and 300 mm wide gully, which proved the performance of the robot and also the feasibility of the structure parameter designing method based on goal-programming. This study provides an effective method for robot structure parameter designing.
来源 农业工程学报 ,2016,32(14):39-46 【核心库】
DOI 10.11975/j.issn.1002-6819.2016.14.006
关键词 机器人 ; 遗传算法 ; 优化 ; 目标规划 ; 履带可变形机器人 ; 结构参数
地址

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

语种 中文
文献类型 研究性论文
ISSN 1002-6819
学科 自动化技术、计算机技术
基金 国家“十二五”科技支撑计划项目
文献收藏号 CSCD:5737011

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引证文献 3

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