基于AIWCPSO的喷浆机械臂运动轨迹优化

Trajectory Optimization of Shotcrete Manipulator Based on AIWCPSO

  • 摘要: 摘要:为了提高煤矿喷浆机械臂末端喷浆轨迹的执行效率以及喷浆均匀度,提出了一种基于AIWCPSO优化算法的笛卡尔空间多段轨迹规划方法。首先将传统喷浆轨迹的竖直轨迹替换成圆弧轨迹,然后对起始和结束轨迹段进行正弦启停速度规划,中间段的直线和圆弧轨迹进行匀速轨迹规划,并通过AIWCPSO优化规划完成的多段喷浆轨迹的运动参数k1、k2、vmax以满足运动学约束条件下的时间最优轨迹规划。在MATLAB平台上与首末速度为零的传统喷浆轨迹规划方法对比,仿真结果表明:与传统喷浆轨迹规划算法相比,该算法的执行效率共提高了27.75%,喷浆均匀度得到了明显的改善。搭建模拟喷浆物理试验台对仿真进行了验证和测试,证明了规划算法和优化算法在提升喷浆效率和改善喷浆均匀度上的可行性和有效性。

     

    Abstract: Abstract: To enhance the execution efficiency and uniformity of the shotcrete trajectory for coal mine Shotcrete Manipulators, a Cartesian space multi-segment trajectory planning method based on the AIWCPSO optimization algorithm is proposed. The vertical trajectory of the traditional shotcrete is first replaced with an arc trajectory, and then sinusoidal start-stop velocity planning is applied to the initial and final trajectory segments. The middle segment's linear and arc trajectories are planned with a constant speed trajectory, and the motion parameters k1, k2, and vmax of the multi-segment shotcrete trajectory completed by AIWCPSO optimization are optimized to meet the time-optimal trajectory planning under kinematic constraints. Compared with the traditional shotcrete trajectory planning method with zero start and end speeds on the MATLAB platform, the simulation results show that the execution efficiency of this algorithm has increased by 27.75% compared to the traditional shotcrete tra-jectory planning algorithm, and the uniformity of shotcrete has been significantly improved. A simulated shotcrete physical test bench was built to verify and test the simulation, proving the feasibility and effectiveness of the planning and optimization algorithms in improving shotcrete efficiency and uniformity.

     

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