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基于启发式采样算法的二自由度机械臂轨迹规划

Path Planning for 2 DOF Manipulator Based on Heuristic Sampling Algorithm

  • 摘要: 针对传统的采样类轨迹规划算法存在随机性、计算效率低等问题,根据机械臂运动学约束,给出关于关节空间的启发式采样轨迹规划算法。采用拉格朗日法建立二自由度机械臂的动力学模型,以角加速度为采样对象,通过积分器采集角速度与角度位移进行转矩的实时检测,结合启发式采样算法,实现给定目标位姿的轨迹自动规划;且对机械臂两关节在不同负载下的运动位置、速度在MATLAB中进行仿真,并与传统的B-spline轨迹规划方法比较。结果表明,启发式采样算法可实现不同负载下给定目标位姿路径的自动规划,且在时效性及路径规划上具有优越性。

     

    Abstract: Due to the problems of randomness and low computational efficiency of the traditional sampling algorithm, a heuristic sampling algorithm, taking the kinematic constraints of the arms into consideration, was proposed. The automatic path planning using heuristic sampling algorithm was achieved by establishing the Lagrangian dynamic model of 2 degree of freedom(2 DOF) manipulator, and the joint angle and angular velocity which implemented the real-time detection of joint torque, was obtained by using the integrator in sampling angular acceleration. The trajectorys of angle and angular velocity of the two joints under different loads were simulated with MATLAB and compared with that of B-spline method. The result of the simulation verifies that the trajectory can be planned automatically under different loads by using heuristic sampling algorithm, which has advantages in timeliness and path planning.

     

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