针对动态环境下的多机器人路径规划问题,采用改进虚拟弹簧算法(improved virtual spring algorithm,IVS)解决路径优化过程中局部最小值和障碍物附近目标不可达问题(GNRON)。首先,基于栅格法建立网络交互动态力学模型,描述多机器人系统...针对动态环境下的多机器人路径规划问题,采用改进虚拟弹簧算法(improved virtual spring algorithm,IVS)解决路径优化过程中局部最小值和障碍物附近目标不可达问题(GNRON)。首先,基于栅格法建立网络交互动态力学模型,描述多机器人系统网络结构;其次,以最优路径和最短时间为目标,基于机器人编队控制,提出IVS算法,同时建立有效的启发式规则,并根据动态障碍物自身的运动属性,重新规划一条障碍物少的路径;最后,采用MATLAB将本文方法与传统虚拟弹簧算法和动态A*算法进行仿真对比分析,验证IVS算法在解决多移动机器人路径规划问题上具有搜索效率高、避障能力强和环境适应性好的优势。展开更多
This paper aims to reveal the depth distribution law of non-limit passive soil pressure on rigid retaining wall that rotates about the top of the wall(rotation around the top(RT) model). Based on Coulomb theory, the d...This paper aims to reveal the depth distribution law of non-limit passive soil pressure on rigid retaining wall that rotates about the top of the wall(rotation around the top(RT) model). Based on Coulomb theory, the disturbance degree theory, as well as the spring-element model, by setting the rotation angle of the wall as the disturbance parameter, we establish both a depth distribution function for sand and a nonlinear depth distribution calculation method for the non-limit passive soil pressure on a rigid retaining wall under the RT model, which is then compared with experiment. The results suggest that under the RT model: the non-limit soil pressure has a nonlinear distribution; the backfill disturbance degree and the lateral soil pressure increase with an increase in the wall rotation angle; and, the points where the resultant lateral soil pressure acts on the retaining wall are less than 2/3 of the height of the wall. The soil pressure predicted by the theoretical calculation put forward in this paper are quite similar to those obtained by the model experiment, which verifies the theoretical value, and the engineering guidance provided by the calculations are of significance.展开更多
文摘针对动态环境下的多机器人路径规划问题,采用改进虚拟弹簧算法(improved virtual spring algorithm,IVS)解决路径优化过程中局部最小值和障碍物附近目标不可达问题(GNRON)。首先,基于栅格法建立网络交互动态力学模型,描述多机器人系统网络结构;其次,以最优路径和最短时间为目标,基于机器人编队控制,提出IVS算法,同时建立有效的启发式规则,并根据动态障碍物自身的运动属性,重新规划一条障碍物少的路径;最后,采用MATLAB将本文方法与传统虚拟弹簧算法和动态A*算法进行仿真对比分析,验证IVS算法在解决多移动机器人路径规划问题上具有搜索效率高、避障能力强和环境适应性好的优势。
基金financially supported by the National Natural Science Foundation of China (No.51274192)Jiangsu Key Laboratory of Environmental Impact and Structural Safety in Engineering Open Foundation of China (No.JSKL2014K12)Jiangsu Ordinary University Graduate Students Research and Innovation Project of China (No.KYLX-1392)
文摘This paper aims to reveal the depth distribution law of non-limit passive soil pressure on rigid retaining wall that rotates about the top of the wall(rotation around the top(RT) model). Based on Coulomb theory, the disturbance degree theory, as well as the spring-element model, by setting the rotation angle of the wall as the disturbance parameter, we establish both a depth distribution function for sand and a nonlinear depth distribution calculation method for the non-limit passive soil pressure on a rigid retaining wall under the RT model, which is then compared with experiment. The results suggest that under the RT model: the non-limit soil pressure has a nonlinear distribution; the backfill disturbance degree and the lateral soil pressure increase with an increase in the wall rotation angle; and, the points where the resultant lateral soil pressure acts on the retaining wall are less than 2/3 of the height of the wall. The soil pressure predicted by the theoretical calculation put forward in this paper are quite similar to those obtained by the model experiment, which verifies the theoretical value, and the engineering guidance provided by the calculations are of significance.
